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Computational Linguist @ Vancouver
Dialpad
I'm on the lookout for computational linguists to join my team at Dialpad in Vancouver, Canada. I'll be in Florence for ACL all week -- love to discuss the role over coffee during the conference. Conversation Analysis, machine learning, NLP.
Link: https://www.dialpad.com/careers/apply/computational-linguist/vancouver-canada
NLP and ML Scientist
Apple
The Siri International team at Apple brings Siri to customers worldwide in over 40 languages and dialects. Join us, and tackle some of the most challenging problems in natural language processing and large scale applied machine learning. You will build cutting edge natural language understanding technologies and deploy them on a global scale. Your work will advance and shape the future vision of our multi-lingual, multi-cultural Siri assistant used by millions across the world!
Link: https://bit.ly/apple-acl2019
Senior NLP researcher
Hugging Face 🤗
Contribute to solving NLP at a startup!
Link: None
Researcher in NLP
NAVER LABS Europe
We are looking for applications from research scientists at all levels (from post-docs to senior scientists) to make outstanding contributions to the invention, development and benchmarking of natural language processing techniques for modeling text, information extraction, machine translation, opinion mining, multi-modal dialogue, question & answering, information retrieval and interactive learning.

NAVER LABS Europe's mission is to advance the state-of-the-art in Ambient Intelligence, while paving the way for these innovations into a number of NAVER flagship products and services. This includes research in models and algorithms to give humans faster and better access to data and to allow them to interact with technology in simpler and more natural ways

At NAVER LABS we encourage participation in the academic community. Our researchers collaborate closely with universities and regularly publish in venues such as ACL, EMNLP, KDD, SIGIR, ICML and NeurIPS.

REQUIRED SKILLS

- Ph.D. in natural language processing (NLP) or machine learning.
- Knowledge of latest developments in statistical and deep learning as applied to NLP.
- Strong publication record in top-tier NLP, information retrieval or machine learning conferences.
- Strong development skills, preferably in python and knowledge of relevant frameworks (spacy, sklearn, tensorflow, pytorch, etc
Link: https://europe.naverlabs.com/job/natural-language-processing-researcher/
NLP Researcher in Rakuten Institute of Technology
Rakuten
Rakuten was created in 1997 in Japan as an online shopping mall and now, its 70+ businesses span e-commerce, digital content, communications and fintech, gathering 1.3 billion members across the world. Rakuten Institute of Technology (RIT) is the Research and Innovation department of Rakuten, with teams in Tokyo, Paris, Boston, Singapore, Bengaluru. RIT is a unique environment for scientific research and innovations in the domain Computer Vision, Natural Language Processing, Machine Learning, Human-Computer Interactions.

You will work on abundant textual data from customer data and e-commerce catalogs such as Rakuten France and Rakuten Ichiba, the Rakuten Japanese marketplace, which comprise millions of products coming from different merchants.

Your specific missions will be:

• Communicate with the relevant business units (such as the e-commerce catalog teams or customer services) and other technical teams to analyze their issues

• Formalize the problems, study the state of the art

• Design solutions, develop prototypes, and participate in the production and integration phases

• Regularly communicate with other RIT teams and present your projects within and outside of Rakuten

• Publish the results of research activities and participate in scientific conferences

Profile:

• You preferably have a PhD, Engineer’s or Master’s degree

• Theoretical understanding of and practical experience with several machine learning techniques

• Prior experience in Natural Language Processing

• Experience in Deep Learning techniques and tools (TensorFlow, Torch, …)

• Experience in software development with Python, Java and/or C++

• Linux, shell scripting

• Fluent English

Please send a motivation letter and CV to the mail provided.
Link: https://fr.shopping.rakuten.com/recrutement/?job_listing=applied-research-scientist-natural-language-processing-hf
Assistant Professor in Data Science (text mining)
Maastricht University
As an assistant professor, you will have a diverse set of responsibilities. You will teach, conduct innovative and high-quality research, write research proposals, and participate in administrative activities.

Law and technology research can be divided into Law for Technology research (e.g. privacy, liability for self-driving cars, legal status of blockchain) and Technology for Law research. This position focuses on the latter, as it aims to apply Data Science methods to the legal domain in order to unravel the “Legal DNA” of the law. You will be offered the opportunity to collaborate with data scientists and legal researchers, and to apply (and learn) data science methods and solutions in relation to the legal domain.

The successful candidate will contribute to a cutting-edge research program that combines law with data science and artificial intelligence to tackle challenging issues such as modelling legal complexity. The candidate will take part in multidisciplinary research teams, participate in interdisciplinary teaching, and pursue strategies to translate research results into innovation. We welcome applicants whose research has led to, or has the potential to lead to real-world applications and/or strong collaborations with industry.
Link: https://www.academictransfer.com/en/284656/assistant-professor-in-data-science-for-law/
ML scientists and Platform engineers (NLP/Dialogue/Conversational AI)
Apple
Yes, Apple is in Seattle and is hiring ! (Seattle expansion announcement: https://youtu.be/yqF2PVMCgvM )

Ping me to learn more about opportunities in the Siri team and how you can play a role in building the future of voice assistants.

Machine Learning Scientists: https://jobs.apple.com/en-us/details/200062665/

Data Scientists: https://jobs.apple.com/en-us/details/200067029/

Platform engineers: https://jobs.apple.com/en-us/details/200065947/
Link: https://jobs.apple.com/en-us/details/200065947/
NLP Research Scientist / Engineer
Apple
As a member of a machine learning team at Apple, you will use your deep understanding of machine learning and natural language processing to tackle meaningful technical problems, collaborate with the most innovative product development teams in the world, and transfer your ideas into solutions in the next generation of Apple products. You will perform fundamental research by defining, designing, implementing and evaluating algorithms involving unrivaled data and objectives. You will also actively engage with the academic community by collaborating with universities, publishing and presenting your work, and attending conferences.
Link: bit.ly/apple-acl2019
Senior Machine Learning Engineer / NLP
IHS Markit
Minsk engineering division of IHS Markit is looking for a Senior Machine Learning/Data Science Engineer to join our AI Research & Development group. In this role, you will be responsible for translating business and functional requirements into concrete deliverables with consistent project structure and design, dataset and ML/NN architecture, testing, and deployment of high quality state-of-art AI solutions into diversity of IHS Markit products, with respect to innovations, scientific research and experimentation.
QUALIFICATIONS

Degree in Computer Science or related fieldSolid understanding of Machine Learning/Deep Learning methodologies, math and tricksStrong practical experience of creating NN/ML solutions using Python with TensorFlow frameworkStrong object-oriented programming skillsEnglish language (B1+)

PREFERENCES FOR CANDIDATES

PhD DegreeExperience in building NLP applicationsExperience in Data Science for NLP/Language ModellingProduction programming in C++Experience with Linux-based OS

OUR PROJECTS

We are building next generation knowledge discovery platform empowered with high quality intelligent functions built on top of world class natural language processing engine for 6 languages.

Enterprise and industry-wide knowledge management,Semantic search,Natural language query understanding,Question answering and semantic facets,Cross-lingual information retrieval,Automatic summarization,Machine translation,Document logical layout understanding,Metadata synthesis,Subject domain categorization,Named entity recognition,Key phrase extraction,Similarity detection,Dynamic data linking,Data capturing,and much more.
Machine learning manager (several openings)
Mila
In addition to its academic training and fundamental research focus, Mila’s mission is to contribute to Quebec and Canada’s economic development through technology transfer and business innovation.

As part of the technology transfer team, the candidate will manage a team of machine learning researchers working on applied research projects with industrial partners with the goal of helping companies innovate by integrating AI into their products or improving their existing AI-based solutions.

Multidisciplinarity is desired. In addition to expertise in management and machine learning, we favor candidates with expertise in areas of application of AI such as computer vision, natural language understanding, biomedical, medical, neuroscience, law, insurance, ethics, finance, cybersecurity, transportation, agriculture, robotics, chemistry.


Main responsibilities

- Manage a team of machine / deep learning researchers working on applied research projects with industrial partners, and scientists from academic labs and research institutes.
- Stay up-to-date with the state of the art in machine / deep learning.
- Foster relationships with the AI community to attract top talent to the team.
- Dedicate one day per week to own research projects.


Required skills

- Expertise in machine or deep learning (MSc, PhD, post-doc in the field, or equivalent work experience).
- 5+ years of management experience in industry, leading teams of machine / deep learning researchers and software engineers.
- Expertise in PyTorch or TensorFlow.
- Excellent oral and written communication skills.
- Ability to multitask.
- Ability to lead a project and to work well as part of a team.
Link: https://mila.quebec/en/2019/05/machine-learning-manager/
Applied machine learning research scientist (several openings)
Mila
In addition to its academic training and fundamental research focus, Mila’s mission is to contribute to Quebec and Canada’s economic development through technology transfer and business innovation.

As part of the technology transfer team, the candidate will be involved in helping companies innovate by integrating AI into their products or improving their existing AI-based solutions. The candidate will also contribute to building and fostering long-term relationships with Mila’s partners and players in the AI ecosystem. Finally, the candidate will be involved in professional training programs.

Multidisciplinarity is desired. In addition to expertise in machine learning, we favor candidates with expertise in areas of application of AI such as biomedical, medical, neuroscience, law, insurance, ethics, finance, cybersecurity, transportation, agriculture, robotics, chemistry, computer vision, natural language understanding.


Main responsibilities

- Support companies through consulting / coaching to introduce AI into their products or improve their AI-based solutions.
- Participate in applied research projects with companies, academic or research institutes.
- Develop machine learning training programs for industry.
- Supervise interns from the Professional MSc in Machine Learning program.
- Dedicate one day per week to own research projects.


Required skills

- Expertise in machine or deep learning (MSc, PhD, post-doc in the field, or equivalent work experience).
- Expertise in PyTorch or TensorFlow.
- Excellent oral and written communication skills.
- Ability to multitask.
- Ability to lead a project and to work well as part of a team.


Preferred skills

- Industry experience in machine / deep learning.
- Industry experience in fields of application of machine / deep learning.
- Proficiency in English and French.
Link: https://mila.quebec/en/2019/05/applied-research-scientist-machine-learning/
NLP Researcher
Borealis AI
Borealis AI is the R&D arm of RBC, and consists of a team of researchers, research engineers, data scientists, and software developers dedicated to solving today’s leading problems in machine learning and artificial intelligence. With a focus on curiosity-driven research, our team is dedicated to working with the state-of-the-art by publishing at top-tier conferences, developing impactful products with the potential to reach millions of people, and supporting the broader AI community.
As an NLP Researcher, you’re looking to channel your love of playing with real-world data into industry-disrupting solutions. We’re a lab that supports research on a wide variety of fundamental and applied NLP projects. Working in our lab will grant you unique access to massive structured and unstructured datasets with the tools and resources necessary to build game-changing NLP models.
Being part of our team means you’ll also have the opportunity to contribute to the AI community, including by publishing original research at venues such as ACL, NAACL, EMNLP, NeurIPS, ICLR, ICML and more.
Link: bit.ly/2y7Or16
Senior Research Scientist
Unbabel
We recently launched a new US-based R&D team in Pittsburgh. We are looking for a Senior Research Scientist to join the team and focus on ground-breaking AI research that will power the next generation of products at Unbabel. This is a great opportunity to spearhead the development of novel state-of-the-art AI technology for impactful enterprise business applications.
Link: None
NLP/ML Engineers (New Grad, Senior, Lead)
Petuum Inc
ABOUT THE ROLE

Petuum is seeking outstanding Natural Language Processing engineers who are passionate about developing and applying NLP and Machine Learning methods to solving real world problems. You will have a chance to work on and contribute to multiple products and services leveraging NLP and ML. You will be part of a team of world-class engineers, designers, and scientists, working together to democratize the building and deployment of AI and Machine Learning systems. You will have ownership over the projects you work on, and have the flexibility to influence the design and execution of your team’s work. A hard working entrepreneur spirit is highly valued and rewarded in the company.

RESPONSIBILITIES

Design and implement cutting edge NLP methods to solve mission critical problems in the real world
Build and deploy large-scale NLP and machine learning pipelines
Drive the testing, documentation, verification, productization and maintenance of the algorithms and pipelines
Learn quickly the evolving in-house and open source technologies and methods

MINIMUM QUALIFICATIONS

Advanced degree (MS or PhD) with a focus in Deep Learning, Natural Language Processing, Artificial Intelligence, or equivalent practical work experience
Good grasp of ML fundamentals
Experience with applying NLP to solving real world problems
Experience with implementing NLP/ML algorithms in Python or C++ and have the desire to learn new programming languages
Good knowledge of algorithm design and software engineering
A passion for ML and AI

PREFERRED QUALIFICATIONS

Publications in top NLP conferences
Experience with multi-threaded design and parallel/distributed computing
Link: https://petuum.com
Postdoc in neural NLG (Facebook sponsored) — now with link for applications!
The Ohio State University
I’m looking to hire multiple postdoctoral scholars to work on a new Facebook-sponsored project on structure in neural NLG. There are many possible directions so you’ll have lots of freedom to define your own agenda! Talk to me at ACL and keep an eye out for the post opening for applications this week.
Link: https://www.jobsatosu.com/postings/96937
Applied Scientist/SDEII/SDEIII
Amazon
We are Amazon India Machine Learning team based in Seattle
https://www.amazon.jobs/en/jobs/877175/sde
https://www.amazon.jobs/en/jobs/584602/applied-science-manager-machine-learning
Amazon India is an exciting place to be at for a machine learning practitioner. We have the eagerness of a fresh startup to absorb machine learning solutions, and the scale of a mature firm to help support their development at the same time. As part of the India Machine Learning team, you will get to work alongside brilliant minds motivated to solve real-world machine learning problems that make a difference to millions of our customers.
Senior Research Scientist
Snap Inc.
We’re looking for a Research Scientist to join Snap's Research Team! As a member of the Research team, you will work on creating the next generation of signals that power our product insights through data mining, natural language processing, computational social sciences, and machine learning. Working from our LA headquarters, you will collaborate with researchers and our product/data science teams to develop state-of-the-art technology that allows Snap to better understand the needs of our users.  In addition to impacting the company’s products, researchers are encouraged to publish their results to top-tier journals and conferences.
Research Assistant (1-year program)
Snap Inc.
We’re looking for a Research Assistant to join Snap Inc’s Research team! During your year at Snap Research, you will be mentored by experts in multiple areas of research including Deep Learning, Computer Vision, and Natural Language Processing. You will be supporting Scientists and Engineers on designing and conducting experiments, building prototypes, and will actively participate in scientific publications.

What you'll do:

Support research projects in areas like Computer Vision, Natural Language Processing, and Data Mining

Independently carry experiments to support scientific publications

Build prototypes to prove concepts and provide meaningful insights

Help clean, format and organize datasets used in research

Read, write and review scientific articles


Minimum qualifications:

BS/BA in Computer Science or related technical field

Experience in Python, R, Java and/or C++


Preferred qualifications:

Planning to attend or already accepted into a PhD program

Someone with a collaborative, positive, and team-oriented mindset

Industrial experience via prior internships or previous jobs is a plus

Demonstrated ability in both research and engineering

Hands-on experience and fast prototyping skills preferred
Research Intern
Snap Inc
Looking for intern candidates for 2020. Message me if you are interested in working in real-life problems that impact the lives of Snapchat's +200M daily active users.
Research Engineer/Scientist
DiDi Labs - DiDi Chuxing USA
Our team in Los Angeles is currently focused on Natural Language Processing, including machine translation and dialog systems. We are excited about the future of communication, transportation, and artificial intelligence. Smart cars should speak and understand human language, and people should be able to order services and solve their problems by speaking. Furthermore, people who speak different languages should be able to communicate with one another.

NLP Research Engineers/Scientists make key contributions to our overall mission by developing scalable machine-learning algorithms and systems.

Email or msg me here if you’d like to hear more details about these opportunities~
Applied NLP Researcher for Educational Applications
Pearson
Note: I will be at ACL from Monday afternoon on and would love to discuss the role in person.

We are looking for a talented, collaborative researcher with a strong background in Artificial Intelligence and natural language processing to join the AI Products and Solutions organization. As an R&D organization, our mission is to push the boundaries of what’s possible in education and to positively impact millions of learners around the globe. Degrees and formal qualifications are important, but for this position relevant experience and a proven track record to deliver are paramount. You will be working within a highly agile team responsible for developing cutting-edge educational technology with an emphasis on employing student writing as a means to assess and improve their expression, critical thinking and content understanding. Using techniques from natural language processing, cognitive science, machine learning and especially deep learning you will work on advancing the state of the art and enhancing the company's learning technology portfolio to solve practical problems for our customers. The ideal candidate will have broad interests in technology, language, cognition and education, who is motivated to design and implement substantive improvements to the company's educational offerings, and is highly skilled in researching and developing innovative ways to contribute to the future of learning.

Our team at Pearson, Boulder offers a unique environment and culture with people who are passionate about developing technology to enhance students’ educational experiences. In addition, Boulder, Colorado has been named as the happiest place in the U.S. which is no surprise given its year-round outdoor activities, a surfeit of sunny days, a laid-back lifestyle, natural beauty, ultra-fresh dining and natural food scenes, the influence of the University of Colorado Boulder, and enough craft beer to put a smile on anyone's face.
Link: https://pearson.jobs/boulder-co/data-scientist-machine-learningnlp/DE6273B5FF6846FCB970A4EC75E5D057/job/
Senior Applied NLP Researcher for Educational Applications
Pearson
Note: I will be at ACL from Monday afternoon on and would love to discuss the role in person.

We are looking for a talented, collaborative researcher with a strong background in Artificial Intelligence and natural language processing to join the AI Products and Solutions organization. As an R&D organization, our mission is to push the boundaries of what’s possible in education and to positively impact millions of learners around the globe. Degrees and formal qualifications are important, but for this position relevant experience and a proven track record to deliver are paramount. You will be working within a highly agile team responsible for developing cutting-edge educational technology with an emphasis on employing student writing as a means to assess and improve their expression, critical thinking and content understanding. Using techniques from natural language processing, cognitive science, machine learning and especially deep learning you will work on advancing the state of the art and enhancing the company's learning technology portfolio to solve practical problems for our customers. The ideal candidate will have broad interests in technology, language, cognition and education, who is motivated to design and implement substantive improvements to the company's educational offerings, and is highly skilled in researching and developing innovative ways to contribute to the future of learning.

Our team at Pearson, Boulder offers a unique environment and culture with people who are passionate about developing technology to enhance students’ educational experiences. In addition, Boulder, Colorado has been named as the happiest place in the U.S. which is no surprise given its year-round outdoor activities, a surfeit of sunny days, a laid-back lifestyle, natural beauty, ultra-fresh dining and natural food scenes, the influence of the University of Colorado Boulder, and enough craft beer to put a smile on anyone's face.
Link: https://pearson.jobs/boulder-co/senior-data-scientist/FEEF5440AF52418D9A2DC9E0A138DB77/job/
Postdoctoral Research Scientist at UCSB
UC Santa Barbara
The Computer Science Department at University of California, Santa Barbara invites applications for a postdoc position in Natural Language Processing and Machine Learning. The candidate will work with Dr. William Wang (http://www.cs.ucsb.edu/~william/) in the Natural Language Processing Group (http://nlp.cs.ucsb.edu). Requirements:
Obtained or finishing up a PhD in Computer Science or related field with a focus in AI/ML/NLP/CV;
Strong prior publishing records at top conferences and/or journals in AI/ML/NLP/CV;
Passionate about advancing AI, and self-motivated;
Mathematically mature, and proficiency in statistical methods for ML modeling;
Proficiency in programming and familiar with TensorFlow/PyTorch/MXNet.

UC Santa Barbara is a top-5 public research university in the U.S., and the UCSB NLP Group ranked #3 in the most productive NLP groups in 2018 in the America (http://csrankings.org/). Recent UCSB PhD graduates and postdocs have taken tenure-track faculty positions at prestigious schools such as UIUC, UChicago, UMich, Dartmouth, Purdue, Virginia Tech, OSU, Northeastern, and Rochester. UCSB boasts to be one of the most beautiful campuses in the world (https://vimeo.com/106330614) with perfect weather year round. Former UCSB NLP Postdoc Dr. Vivek Kulkarni has recently joined Stanford’s NLP Group.

Dr. William Wang has received several best paper awards and nominations at leading conferences, and he is the recipient of DARPA Young Faculty Award, Google Faculty Research Award, Facebook Research Award, Adobe Research Award, along with many other recognitions. UCSB’s international scholar office will provide support for visa, and we will provide top academic salary, benefits, and travel budget for postdocs. This position is expected to be filled asap, and the initial contract for this position is 2 years. Qualified candidates may email their CVs to william@cs.ucsb.edu.

Link: nlp.cs.ucsb.edu
Postdoc positions
Bocconi University
I am looking to fill two postdoc positions, one in the fall 2019, the other early 2020. Both focus on NLP for bias, fairness, ethics, and computational social science. One project is in collaboration with Twitter, to quantify healthy conversations and measure incivility.
Link: None
NLP Data Scientist with engineering experience
100nuts.ai
You should have practical knowledge of the latest NLP transfer learning tools, graph networks, libraries and algorithms. You will apply them for NER, classification, information retrieval, semantic similarity tasks.

Will prioritize candidates with engineering experience.

Your academic qualifications will be appreciated but not prioritized. We value inquisitive brains, execution, originality and self-discipline over PhD, peer reviewed papers and other regalia 😎

You will be part of an international team (France, Italy, UK, Russia, Belarus), which counts 5 data scientists.

You will work remotely full time.

Software / marketing organisations: We do not outsource our coding/marketing. I won't reply to your emails and will report them as spam. Hope you appreciate 😛
Link: https://100nuts.ai
NLP Professorships at the University of Copenhagen
University of Copenhagen
The Department of Computer Science (DIKU) is expanding its research and educational activities in Natural Language Processing and Machine Learning and hereby invites applications for one or more Assistant Professorships, and one Associate Professorship, in Natural Language Processing and Machine Learning. Preferred candidates will have a Ph.D. in Computer Science, Machine Learning, Computational Linguistics, or equivalent. A strong academic background in Natural Language Processing and Machine Learning is necessary. 
 
The department seeks applications for the following positions:
 
Tenure-track assistant Professor of Natural Language Processing and Machine Learning: https://employment.ku.dk/tenure-track/?show=149913
Associate Professor of Natural Language Processing and Machine Learning: https://employment.ku.dk/faculty/?show=149914

The University wishes our staff to reflect the diversity of society and thus welcomes applications from all qualified candidates regardless of personal background.
 
Inquiries about the positions can be made to Head of Department, Professor Mads Nielsen (madsn@di.ku.dk), Professor Anders Søgaard (soegaard@di.ku.dk), and/or Tenure-Track Assistant Professor Isabelle Augenstein (augenstein@di.ku.dk).
 
The deadline for applications is 1 September 2019, 23:59 GMT +2, interviews/trial lectures will be held on 19 December 2019, and the position is open from 1 February 2020 or as soon as possible thereafter.
Assistant Professor
Arizona State University
Tenure-track faculty position possibilities at Arizona State University.
Link: None
Assistant Professor
Xavier University
Assistant Professor positions at Xavier University, Bhubaneswar
Link: None
Tenure Track and Tenured Professor Positions (Assistant/Associate/Full)
University of Trento
Positions are in the Department of Computer Science and Information Engineering, University of Trento

Top-ranked in Italy and in international rankings

All research areas are welcome
See the link to the call for more details
Link: https://www.disi.unitn.it/EoI-DISI-2019-2
NLP Applied Scientist (ALL Levels)
Microsoft
Address the challenging problems in various MS products by Deep Learning or Reinforcement Learing, and publish high impact papers. Track state-of-the-art NLP technology and keep lead positions in public competitions of various NLP tasks, including IR, QnA, MRC, dialogue, etc.
Link: https://careers.microsoft.com/us/en/job/660253/Principal-NLP-Scientist-Manager-NLP-Scientist
Associate Research Scientist - Speech
Educational Testing Service
ETS's Research & Development division has an opening for an associate research scientist in the Speech area of the NLP & Speech research center. The projects in this research group focus on the application of NLP, speech, dialogue, and multimodal processing algorithms in automated scoring capabilities for assessment and learning tasks involving constructed responses (such as essays and spoken responses). In addition to its signature automated scoring systems for text and speech assessments, the group is actively pursuing technology innovation in education and learning spaces by performing foundational research, prototyping next-generation capabilities, and collaborating with academic and industry partners. The NLP & Speech research group currently comprises around 20 PhD-level research scientists, 10 research engineers, and 10 research assistants and administrative staff.

This is an excellent opportunity to be part of a world-renowned research and development team and have a significant impact on existing and next-generation NLP, speech, dialogue, and multimodal systems and their use in educational applications.

This position focuses on speech processing. Please visit the link for more information.
Link: https://etscareers.pereless.com/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=290092
Associate Research Scientist - NLP
Educational Testing Service
ETS's Research & Development division has an opening for a research scientist in the NLP & Speech research group. The projects in this research group focus on the application of NLP, speech, dialog, and multimodal processing algorithms in automated scoring capabilities for assessment and learning tasks involving constructed responses (such as essays and spoken responses). In addition to its signature automated scoring systems for text and speech assessments, the group is actively pursuing technology innovation in education and learning spaces by performing foundational research, prototyping next-generation capabilities, and collaborating with academic and industry partners.

This is an excellent opportunity to be part of a world-renowned research and development team and have a significant impact on existing and next-generation NLP, speech, dialog, and multimodal systems and their use in educational applications.

This position focuses on NLP and deep learning. Please visit the link for more information.
Link: https://etscareers.pereless.com/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=287221
Associate Research Scientist - Spoken Dialogue
Educational Testing Service
ETS's Research & Development division has an opening for an associate research scientist in the Spoken Dialogue Systems area of the NLP & Speech research center. The projects in this research group focus on the application of NLP, speech, dialogue, and multimodal processing algorithms in automated scoring capabilities for assessment and learning tasks involving constructed responses (such as essays and spoken responses). In addition to its signature automated scoring systems for text and speech assessments, the group is actively pursuing technology innovation in education and learning spaces by performing foundational research, prototyping next-generation capabilities, and collaborating with academic and industry partners. The NLP & Speech research group currently comprises around 20 PhD-level research scientists, 10 research engineers, and 10 research assistants and administrative staff.

This is an excellent opportunity to be part of a world-renowned research and development team and have a significant impact on existing and next-generation NLP, speech, dialogue, and multimodal systems and their use in educational applications.

This position focuses on spoken dialogue systems. Please visit the link for more information.
Link: https://etscareers.pereless.com/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=289617
Postdoc in Conversational AI @ Heidelberg University, Germany
Heidelberg University
Open postdoc position in conversational AI, funded by a Google focused research award, at department of Computational Linguistics at Heidelberg University. Please visit https://www.cl.uni-heidelberg.de/statnlpgroup/projects/2019-google-fra/ and send email to riezler@cl.uni-heidelberg.de
Link: https://www.cl.uni-heidelberg.de/statnlpgroup/projects/2019-google-fra/
Nlp researcher/engineer
Tencent
Three directions like:
1.Document understanding,eg.classification,tagging,concept mining,event
mining etc
2.knowledge graph:including knowledge fusion,relation mining,kbqa etc
3.qa:rbqa or mrc
Research Scientist / Software Engineer - NLP
Megagon Labs, Inc.
Megagon Labs (www.megagon.ai) is looking for research scientists to participate in and conduct cutting edge research in NLP, Data Management and Integration, Data Mining, Machine Learning, and Human-Computer Interaction. Our research focus includes but not limited to Information Extraction, Sentiment Analysis, Natural Language Understanding, Question-Answering, and Cross-lingual NLP. We are looking for research scientists who can design and develop scalable algorithms and prototypes for real-world business problems.

We publish our work in top conferences (i.e., ACL, NAACL, EMNLP, SIGMOD, VLDB, KDD, WWW, AAAI, IJCAI, CHI, etc.) and conduct research collaborations with universities.

Who are we? Megagon Labs is an innovation hub for Recruit Holdings Co., Ltd. (https://recruit-holdings.com/), a company that has over 357 subsidiaries, 45,688 employees, and annual revenues of $17 Billion (in 2016). Recruit Holdings provides over 200 online services in the areas of human resources, travel, housing, education, restaurants and many other areas in which people make daily lifestyle decisions.

We develop technologies to solve real-world problems at scale and make an impact on the world through businesses of Recruit Holdings.
Link: http://www.megagon.ai
Research Interns
Megagon Labs, Inc.
Megagon Labs (www.megagon.ai) invites undergraduate and graduate students to apply for research and software engineering internships all year around. We are looking for students who are motivated to solve real-world problems at scale and work with research scientists in NLP, Data Management and Integration, Data Mining, Machine Learning, and Human-Computer Interaction. Interns at Megagon Labs will focus on high impact projects as team members and will be mentored by research scientists at Megagon Labs.

Who are we? Megagon Labs is an innovation hub for Recruit Holdings Co., Ltd. (https://recruit-holdings.com/), a company that has over 357 subsidiaries, 45,688 employees, and annual revenues of $17 Billion (in 2016). Recruit Holdings provides over 200 online services in the areas of human resources, travel, housing, education, restaurants and many other areas in which people make daily lifestyle decisions.

We offer competitive pay and visa sponsorship as well.
Link: http://www.megagon.ai
Amazon AI - Applied Scientist - Natural Language Understanding
Amazon
Amazon AI is looking for a passionate, talented, and inventive Applied Scientists with a strong machine learning and NLP background to help build industry-leading Language technology.

Join our team to address challenging problems in Natural Language Understanding by applying SOTA Deep Learning, Transfer Learning, Reinforcement Learing, and publish high impact papers.

Our mission is to provide a delightful experience to Amazon’s customers by pushing the envelope in Natural Language Understanding (NLU), Machine Learning (ML) and Conventional AI.

As part of our AI team in Amazon, you will work alongside internationally recognized experts (many of them are attending ACL btw) to develop novel algorithms and modeling techniques to advance state-of-the-art in human language technology. Your work will directly impact millions of our customers in the form of products and services that make use of speech and language technology. You will gain hands on experience with Amazon’s heterogeneous speech, text, and structured data sources, and large-scale computing resources to accelerate advances in spoken language understanding, and Dialogue management.

Location priority is Seattle but qualified candidates may also be elligble to be based in Palo Alto as well as NYC.
Amazon AI - Applied Scientist - Conversational AI
Amazon
Amazon AI is looking for a passionate, talented, and innovative Applied Scientists with strong machine learning and NLP background to help build industry-leading multilingual digital assistants (aka chatbots).

Join our team to address challenging problems in Conversational AI by applying SOTA Deep Learning, Transfer Learning, Reinforcement Learing, and publish high impact papers.

Our mission is to provide a delightful experience to Amazon’s customers by pushing the envelope in Natural Language Understanding (NLU), and Conventional AI.

As part of our AI team in Amazon, you will work alongside internationally recognized experts (many of them are attending ACL btw) to develop novel algorithms and modeling techniques to advance state-of-the-art in human language technology. Your work will directly impact millions of our customers in the form of products and services that make use of speech and language technology. You will gain hands on experience with Amazon’s heterogeneous speech, text, and structured data sources, and large-scale computing resources to accelerate advances in spoken language understanding, and Dialogue management.

Location priority is Seattle but qualified candidates may also be elligble to be based in Palo Alto as well as NYC.
Research Software Engineer and Research Scientist
Expert System
Interested to work in challenging research and innovation problems at the bleeding edge of AI, NLP, Deep Learning and Knowledge Graphs? Think no more, our team at Expert System Cogito Labs in Madrid is growing!

We are looking for research software engineers and scientists. Check the offer at https://bit.ly/2S5jyDX and send us your CV. If you are close to finishing your studies we would also like to hear from you (internships open).
Link: https://www.expertsystem.com/es/career/research-software-engineer-madrid-2/
Tenure-track Assistant / Associate Professor
Temple University
Department of Computer and Information Sciences and Center for Cognitive Computing are seeking exceptional candidates with expertise in Natural Language Processing and a compelling research vision. Temple University offers a highly competitive package and provides excellent environment for growing a world class research program.

Slobodan will be happy to meet with you and chat about this opportunity during ACL 2019.
Link: None
Industrial data science/engineering
NorCom Information Technology
What we do:
We help enterprises get innovations into production, focusing on sensor data and natural language understanding.
 
Why is that important:
Sensor data is getting larger and larger. The problems to solve are getting increasingly complex and scenarios for verification are exploding. The usage of big data technology, advanced analytics and AI becomes a must.

Efficient collaboration across departments and organizations is key for modern enterprises to find new synergies and gain efficiency. This leads to a great demand for assisted communication by automatically analyzing documents to get information to the people at the time they can benefit from it.
 
Where do you find us:
We are a German company with headquarter in Munich. We have openings in Munich as well as in our operational branches in Stuttgart and Nuremberg.
https://www.norcom.de/impressionen
 
A full list of current openings can be accessed at https://www.norcom.de/jobangebote.
 
Come and see me at the conference or drop us an email at jobs@norcom.de.
 
Link: www.norcom.de
Senior Computer Scientist Oracle Digital Assistant
Oracle
We are recruiting 2-4 senior NLP research and development positions.

https://www.seek.com.au/job/39435522?searchrequesttoken=7b32fb0c-7a67-4c22-9b76-4e46888a354b&type=standard

Note that aside from salary, the successful candidates will also be granted certain restricted stock options making the total compensation package of 160K -> 200K AUD annually. 
Postdoctoral scientist: crosslingual word embeddings and robust NLP
University of La Rochelle
Applied to news, both contemporary and/or historical, with a strong focus on language independent and/or crosslingual approaches, we are seeking to recruit postdoctoral researchers within the Embeddia and NewsEye H2020 project with 8-10 European partners each.
Specifically, your tasks would be around news linking, emerging event detection, named entity recognition and linking. Further topics are possible.

Our main targets are to develop new research, publish papers, share code and data sets.

The work environnement is a vivid international research group with numerous funded projects and industrial collaborations.

The lab lies 200 meters away from the ocean, 5 minutes from one of the 3 sand beaches in town.

Visit the NewsEye and Embeddia project websites and get in touch for more info. We’ll be at ACL the whole week.
Link: See.my.profile
Director of Language & Research Development
Textio
We are looking for a thoughtful leader with a strong sense of stewardship to guide our work building the future of augmented writing. Our Language Understanding team is growing, and we need the right Director to build and lead this critical organization.

We are committed to creating a user experience that is first and foremost great for writing. This focus on making a great writing experience is a central guiding tenet at this key inflection point in our growth: how do we build with user empathy while scaling up our technology, our team, and the scope of the language problems we solve?

You’ll bring experience that helps you to recognize opportunities and obstacles that lie along the road ahead. You’ll make informed decisions today to create the best environment for the future. You’ll join a welcoming and collaborative natural-language processing group that works closely with broader engineering and product teams — where everyone is passionate about building the best language experiences in the world.

You have built products that real people can use. Your experience in research and in industry shows you that model hyperparameters and data cardinality can only get you so far: implementation details are only the support system for a strong, informed conception of a problem and a vision of a transformative solution. You have the technical depth to collaborate and advise a team on both the theoretical and runtime details of a production implementation, and an ethical foundation that sharpens your focus on the transformative impact of language on people’s social realities.
Link: https://textio.com/careers/job/?id=49de278d-d59d-4d09-a7cb-52d885cd2e6c
Machine Learning Engineer in Berlin, Germany - Localization Team
Amazon
Localization team - is looking for a proactive and independent Machine Learning Engineer (Localization) to help bring our Machine Translation platform to the next level. Your mission (and ours) is unique and powerful: empower our customers to be able to shop for any product in their native language in their home country.

Like challenging, fast pace environments and have a passion for data, languages, and other cultures? Enjoy working with engineers and scientists in an organization that deals with some of the largest scale problems across Amazon?

We’re looking for someone who loves to work at the intersection between cutting-edge Machine Learning research, and the production needs of building and running large numbers of models at Amazon scale.

As a Machine Learning Engineer (Localization) you will contribute to the architectural vision for a team of highly skilled engineers and researchers in the product localization space. You will get to work with the latest AWS technologies, and massive amounts of data, to build next-generation localization and translation solutions. You will be responsible for transforming latest Machine Translation research results into components that stand the test of large-scale business application.

This is a unique opportunity at Amazon with great exposure: All of Amazon’s customers worldwide will be your customers. Come join us in our beautiful office in the beating heart of Europe - Berlin.


Responsibilities

¡ Act as a builder and architect. Design, implement and own core components of our machine translation training and production pipeline.
¡ Follow Machine Translation research from the perspective of technological and economic feasibility, and turn research results into production-grade code. Support large-scale fast and iterative experimentation, e.g. to improve MT quality.
¡ Interface with our internal customers to understand requirements, set priorities and communicate direction and progress.
¡ Own the technical side of feed
Link: None
Research Scientist
eBay
Looking to be part of a dynamic and diverse team, interested in solving cutting edge research problems while impacting all eBay e-commerce channels? Are you an ambitious machine learning scientist? Passionate about languages and text understanding? If you answered yes, the Core AI team at eBay is the right place for you. We would love to talk and work with you!

We are looking for Research Scientists with a diverse set of backgrounds to join our office in the historic city of Aachen, Germany.
Link: https://jobs.ebayinc.com/job/aachen/research-scientist-nlp-ml-ai/403/12344319
Senior Machine Translation and Quality Estimation Research Engineer
Unbabel
Unbabel’s“Translation as a Service” platform allows modern enterprises to understand and be understood by their customers in dozens of languages.

Powered by AI and refined by a global community of tens of thousands of human linguists, Unbabel delivers professional-grade content at the scale required by modern enterprises like Facebook, Microsoft, Under Armour, Pinterest and Expedia.

We are a diverse team, working every day to build an outstanding organisational culture, based on strong values of transparency, team spirit and continuous learning, with a fast-paced Silicon Valley atmosphere in the beautiful city of Lisbon, Portugal.

To strengthen the Applied AI team, we are looking for a senior applied researcher with machine learning and natural language processing (NLP) experience to build, scale and maintain artificial intelligence (AI) services at Unbabel. You'll be working closely with other AI researchers, software engineers, product managers, and data analysts in developing truly disruptive NLP products that are changing the way translation is done. The Applied AI team is responsible for the productization of the core AI platform and exploration of the new opportunities in NLP and AI.

Responsibilities

Conceive, plan, and conduct applied research targeting to help address challenging problems in translation/localization domain
Design, implement, evaluate and optimize novel ML and NLP algorithms and models that lead to improved performance of Unbabel applications in real world scenarios
Design, prototype and benchmark algorithms that combine human & machine workers to train high quality ML models.
Work on large-scale datasets and create scalable and accurate systems in versatile languages / application fields
Suggest, design and build reusable tools to aid in rapid iteration and development.
Have a lot of fun hanging out with and being a part of the Unbabel team!
Link: https://jobs.lever.co/unbabel/9319ae17-8a6c-4d32-8134-47c17dc27dca
Arabic language ASR Engineer
mawdoo3
We are looking for several engineers to analyse text-voice data and train scalable ASR models for many Arabic dialects
Link: salma.ai
1 postdoc + 1 PhD student
Saarland University
Two positions open now at the Department of Language Science and Technology at Saarland University. See the website for details.
Link: http://www.coli.uni-saarland.de/~koller/page.php?id=jobs
Assistant Research Professor
Johns Hopkins University
If you love developing fundamental machine learning models and algorithms, inspired by complex phenomena such as natural language, come join my lab and help advise my students! This research track faculty position is a great launching pad to start an academic career, or to return to academia from industry.
https://m.facebook.com/story.php?story_fbid=10101841844635435&id=5409430
Link: https://apply.interfolio.com/62514
Do world-class research in Greece!
NCSR Demokritos
The National Centre for Scientific Research “Demokritos” (NCSR D) is starting a brand new Research Unit on Document Intelligence. For this ambitious new effort, NCSR D is looking for highly talented researchers at both junior and senior level.
Research experience in one or more of the following areas is required:
• Natural Language Processing and Text Analytics
• Information Retrieval
• Machine Learning and Deep Learning
• Reasoning and Knowledge Graphs
• Probabilistic Graphical Models
The selected candidates will be expected to contribute to patents and to publications in the major related venues.
The positions come with competitive salaries and work in a vibrant multi-disciplinary environment in the northern suburb of Athens, Ag. Paraskevi, situated at the foot of mount Hymettus.
For more information, contact George Paliouras: paliourg@iit.demokritos.gr
Machine Learning engineer (Japanese startup)
ExaWizards Inc
ExaWizards is an AI startup company based in Tokyo and Kyoto. We're running business in Fintech, robotics, HR, medtech and several other domains using latest technologies in NLP and CV to solve society problems that Japan is facing.

We're hiring Machine Learning engineer and software engineers. Please visit our website or LinkedIn for more details or simply DM me. We support visa for foreigners coming to Japan.
Link: exawizards.com/en
Tenured Professor, Tenured Associate Proffessor, Tenure-track Associate Professor, Tenure-track Assistant Professor
Renmin University of China
We are hiring multiple positions for Gaoling School of Artificial Intelligence (GSAI). The details are below.

Tenured Professor, 1.2-1.8 (CNY in millions, the same below) Remuneration, 4.0 Housing Subsidy;
Tenured Associate Professor, 1.0-1.5 Remuneration, 3.2 Housing Subsidy;
Tenure-track Associate Professor, 0.8-1.2 Remuneration, 2.4 Housing Subsidy;
Tenure-track Assistant Professor, 0.7-1.0 Remuneration, 1.6 Housing Subsidy.

Applications should send a CV and a personal statement (1000-2000 words, including a brief introduction of no more than 5 representative works, research proposal, and teaching plan) to the e-mail with a formatted title of "GSAI+-TenureTrack+Yourname".
Link: http://ai.ruc.edu.cn
PhD/Postdoc: Computational Structural Analysis of Code-Switching
IMS, University of Stuttgart
Open PhD or postdoc position in a DFG-funded project, at the IMS, University of Stuttgart. The description is in the link. For more information contact ozlem@ims.uni-stuttgart.de or find Ozlem Cetinoglu at the conference. 
Link: https://www.stellenwerk-stuttgart.de/jobboerse/wissenschaftl-stellen-phd-position-computational-structural-analysis-german-turkish-code-switching-s-2019-07-02-260827
Research Fellow (postdoc) / Research Assistant
National University of Singapore
The Natural Language Processing Group at the National University of Singapore invites applications for multiple Research Assistant and Research Fellow positions in the Department of Computer Science, School of Computing (SoC), in the research areas of conversational question answering, grammatical error correction, medical text mining, and natural language processing for low-resource languages. The initial appointment is for a period of one year, with possible extension subject to research funding availability. The candidate will join at the rank of Research Assistant or Research Fellow, depending on qualifications and experience.

Job requirements:

For the research assistant positions, the candidate should possess a good honors degree or equivalent in computer science or a related discipline. Strong programming skills and good command of English (both spoken and written) are required. Candidates interested in pursuing research leading to a PhD degree in computer science at NUS with specialization in natural language processing are strongly preferred.

For the research fellow positions, the candidate should possess a PhD degree in computer science or a related discipline, and a strong publication record in natural language processing, deep learning, or related areas. Strong programming skills and good command of English (both spoken and written) are also required.

Interested candidates please apply with a cover letter, CV, degree certificates, academic transcripts, names and email addresses of 3 referees. Application materials should be sent to Professor Hwee Tou Ng (nght@comp.nus.edu.sg).
Link: None
Senior NLP Engineer (small team in Berlin)
jobpal Ltd
(I am the senior R&D engineer here, and I am posting our opening. Feel free to talk to me if you’re interested, I’m at ACL all week, and at the Conversational AI workshop on Thursday! -Kit)

Company Description
At jobpal, we build chatbots for the recruiting industry that are based on Machine Learning and Natural Language Processing technologies. Our chatbots automate communication between employers and candidates. For companies, this means higher engagement with their talent pool and the opportunity to automate time-consuming tasks. For candidates, this creates an innovative candidate experience, making the hiring process more intuitive and engaging. Companies such as Airbus and British Airways use jobpal chatbots to fundamentally transform the way they hire talents and improve their employer branding.

Job Description
We’re looking for a Senior R&D Engineer with a strong background in Natural Language Processing and Machine Learning. The primary responsibility of this role is to apply and ship innovative machine learning and NLP solutions. You will also have the opportunity to scale these innovations and technologies across a variety of languages. This role involves researching, prototyping, building and refining features and products that result in industry-leading chatbots. As part of our Engineering team, you’ll work closely with everyone from Product to Business.
Link: https://www.smartrecruiters.com/Jobpal1/743999691404780-senior-nlp-engineer
Post-Doc Research Scientist
reciTAL
Who are we?

reciTAL is an Artificial Intelligence company: our mission is to become one of the European references in the domain. Specialized in Natural Language Processing (NLP), we currently commercialize two products: Quieto, to automate text-based workflows -- e.g. email routing; and Genius, an enterprise-friendly question answering system. The two products are currently in production in several large enterprise, including CNP Assurances, Natixis Wealth Management, and Credit Agricole.
Founded in 2017, reciTAL has been profitable since the beginning and has not required external funding. Nowadays reciTAL is 20 people, 5 of which holding a PhD in AI. We strongly focus on research, nurturing strong links with academia and submitting to established venues (in 2019 our works were accepted at COLING, ACL, IEEE TAC - also, we got great reviews for EMNLP). We co-supervise a PhD at UPMC-Sorbonne, and our scientific board includes Stuart Russell, professor at Berkeley, and Antoine Bordes, head of Facebook AI Research Lab in Paris.


Job Description

We are looking for a motivated Post-Doc Research Scientist to join us, to work on one or more of the following topics:
▪ Question Answering
▪ Language Modeling
▪ Text Generation
▪ Reinforcement Learning
▪ Document Understanding


Minimum Requirements

▪ Recent PhD
▪ Solid publication track record
▪ Expertise in Pytorch / Tensorflow


What we offer

▪ CDI
▪ Attractive salary
▪ Office located in Paris city center (metro Bonne Nouvelle)


Interested? Contact us at jobs@recital.ai
Link: www.recital.ai
Conversational AI & MT researchers
Hyundai Motors Co.
We are hiring several positions for talented and challenging Conversational AI experts including natural language understanding, dialog management, and natural language generation.
Our team mission is to develop an innovative spoken dialog system to provide a convenient and delightful experience to our customers in their car life.
 
In addition, we are looking for a MT research engineer/scientist to commercialize MT techniques to translate multilingual in-house data for our customers, dealers, and employees. 
 
- Job Posting for Conversational AI & MT : http://recruit.hyundai.com/hfront/webapply/applyView.do?recuYy=2019&recuType=11&recuCls=105
- Job Posting for Voice UX : http://recruit.hyundai.com/hfront/webapply/applyView.do?recuYy=2019&recuType=11&recuCls=112
- Job Posting for Speech recognition & synthesis : http://recruit.hyundai.com/hfront/webapply/applyView.do?recuYy=2019&recuType=11&recuCls=106
R&D Project Manager
Unbabel
Unbabel is looking for a full-time experienced project manager to help us coordinate and manage our contributions to Portuguese, European and International R&D projects. We are executing these projects in collaboration with our industrial and academic partners, including Carnegie Mellon University, University of Edinburgh, CrossLang and others.

Our R&D team is an interdisciplinary group of highly-qualified researchers, software engineers and product managers from diverse backgrounds ranging from consumer markets to applied linguistics.

If you love the development and implementation of disruptive technology, join us and explore how artificial intelligence can change the way the world communicates.
Responsibilities

Coordinate and drive the planning and execution of multiple projects , including implementation of R&D tasks, project milestones, outcomes and deliverables, in close collaboration with the other partners partners, and based on the funding program guidelines and requirements (national, international or European)
Produce project documentation, update the project handbook, meeting minutes and regular reports.
Assist in monitoring and managing the budget, expenses, reports and accountability of the project.
Prepare required reports for the EU Commission and other funding organizations, including collecting the results and outcomes of the project and communicating these in the form of dissemination activities, publications, events and other impactful forums.
Coordinate the communication between the funding organizations and Unbabel.
Coordinate and plan project workshops and other dissemination activities in conjunction with the other project partners
Update the project web, control and feed blog entries, update information and publications in the Unbabel AI repository and other media.
Have a lot of fun hanging out with and being a part of the Unbabel team!
Link: https://jobs.lever.co/unbabel/c80a1663-cbf6-42e4-97de-56171c12643e
NLP/ IE/ KR&R: Internships, Residencies, Postdocs
Verisk Analytics
Verisk | AI is conducting high-impact research to build human-machine collaborative systems and workflows. Through applied research and development, our language, knowledge, and reasoning team is working across many industries and domains to create innovative AI solutions in areas such as:

• natural legal language processing
• information extraction and text mining
• document understanding
• search, retrieval, and summarization
• multimodality: vision, speech, and grounding
• knowledge representation and reasoning
• semantics and textual inference question answering
• latent structure and representation learning
• open-world and adversarial robustness
• zero-shot, continuous, and meta-learning
• interpretability, explainability, and bias

With offices in more than 30 countries, Verisk is a leading global data analytics company serving customers in property/casualty insurance, energy and specialized markets, and financial services. Our AI team is looking for highly talented candidates for internships, residencies and postdocs in the NY, Munich and Hyderabad, India offices.


Link: https://careers.smartrecruiters.com/Verisk?search=AI
Alexa Language Engineer
Amazon
Interested in Alexa? Come work on it. We’re building the speech and language solutions behind Amazon Echo and other Amazon products and services. We’re working hard, having fun, and making history; come join us!

Amazon is looking for a Language Engineer to join the Spoken Language Understanding team for Alexa Shopping. We are seeking a candidate with strong analytical skills and language technology experience to help us measure, analyze and solve complex problems. In this role, you will design and develop new language understanding capabilities for Alexa, and help make her smarter every day.

Specifically, the Language Engineer will:
- Design the language understanding systems for new Alexa features
- Write recognition grammars that enable Alexa to understand a wide variety of natural speech.
- Test and deploy changes to Alexa's language understanding codebase
- Write scripts to analyze language patterns and process text data.
- Measure the accuracy of Alexa's language understanding
- Implement bug fixes and accuracy improvements

Link: https://www.amazon.jobs/en/jobs/883803/language-engineer
NLP, KR&R, IE: Engineers & Scientists
Verisk Analytics
Verisk | AI is conducting high-impact research to build human-machine collaborative systems and workflows. Through applied research and development, our language, knowledge, and reasoning team is working across many industries and domains to create innovative AI solutions in areas such as:

• natural legal language processing
• information extraction and text mining
• document understanding
• search, retrieval, and summarization
• multimodality: vision, speech, and grounding
• knowledge representation and reasoning
• semantics and textual inference question answering
• latent structure and representation learning
• open-world and adversarial robustness
• zero-shot, continuous, and meta-learning
• interpretability, explainability, and bias

With offices in more than 30 countries, Verisk is a leading global data analytics company serving customers in property/casualty insurance, energy and specialized markets, and financial services. Our AI team is looking for highly talented candidates for our NY, Munich, London, Krakow and Hyderabad, India offices.

* Come visit us at Booth #19 to find out more.*
Link: https://careers.smartrecruiters.com/Verisk?search=AI
NLP, IE, KR&R: R&D Manager; Engineering Manager
Verisk Analytics
Verisk | AI is conducting high-impact research to build human-machine collaborative systems and workflows. Through applied research and development, our language, knowledge, and reasoning team is working across many industries and domains to create innovative AI solutions in areas such as:

• natural legal language processing
• information extraction and text mining
• document understanding
• search, retrieval, and summarization
• multimodality: vision, speech, and grounding
• knowledge representation and reasoning
• semantics and textual inference question answering
• latent structure and representation learning
• open-world and adversarial robustness
• zero-shot, continuous, and meta-learning
• interpretability, explainability, and bias

With offices in more than 30 countries, Verisk is a leading global data analytics company serving customers in property/casualty insurance, energy and specialized markets, and financial services. Our AI team is looking for highly talented candidates for our NY, Munich, London, Krakow and Hyderabad, India offices.

* Come visit us at Booth #19 to find out more.*

Link: https://careers.smartrecruiters.com/Verisk?search=AI
Principal Engineer / CTO
Keen Research
We are small and profitable company located in scenic Sausalito, just couple of miles north of San Francisco. Our goal is to empower software developers with tools that will allow them to easily create voice-enabled apps and products, with on-device/offline processing. We are diciplined, frugal, and focused on directly or indirectly solving a number of real problems in various industries.

Our customer list spans companies that help kids learn how to read or learn a new language, robotics and medical companies, companies building enterprise solutions in AgTech and hospitality, as well as device manufacturers. Apps and products that use KeenASR SDK have processed millions of audio responses and tens of thousands of hours of audio.

We are taking the path less travelled; the company has been bootstrapped, has a number of paying customers, and is now ready to expand the team. We strongly believe that a small, tight-knit group of smart people can make a huge impact. This is where you come in...

Principal Engineer

The role is based in Sausalito, California; we will consider remote candidates.

We are looking for an exceptional engineer with strong experience in ASR and related fields, who can lead technical development of our core stack. This is a hands-on position that could grow into a technical leadership role.

What you’ll do:

You will lead technical activities related to our SDK for on-device speech recognition and soon NLU and Dialog Management. Starting with definining the API, implementing it so it runs on mobile devices, all the way to training and deploying various machine learning models.

Over time, you will hire and manage a small team of developers and researchers that will help you solve these problems.

You will have a big say in setting the technical as well as overall direction of the company.

More details at: https://keenresearch.com/careers.html
Link: https://keenresearch.com/careers.html
Applied Data Scientist
Saal.ai
Responsible for carrying out Research and apply to open problems in areas such as Education, Healthcare etc.
The role involves publishing, developing APIs and see it in action, given our chance to meet end users such as schools or hospitals directly. We also developed Curio, an app for school students to learn. curiolearn.com

- Tax free income (full time or even funded master's thesis)
- Travel support for conferences
- Research collaboration with top researchers in NLP field towards solving open industry problems
- Opportunity to relocate to Abu Dhabi, an upcoming strong location for AI with good funding.
Link: saal.ai
Senior Research Scientist
Unbabel
Unbabel is a startup with headquarters in Lisbon which combines AI and humans for translation and multilingual communication. We are looking for Senior Research Scientists with expertise in Neural Machine Translation to expand our AI team in Lisbon.
Senior Machine Learning Engineer
Cisco Systems
What You’ll Do
The workplace of the future will be powered by AI and the Cisco Webex Intelligence team is making that a reality. Two fast-moving startups (MindMeld and Accompany) were recently acquired by Cisco to disrupt and boost the industry's #1 Collaboration portfolio. We aim to build the next generation of collaboration software & devices - from digitizing the in-meeting experience, enhancing distributed team efficiency and improving all aspects of people connection.


The team develops innovative experiences by leveraging state-of-the-art machine learning,  conversational AI and information retrieval techniques. One of the projects is Webex Assistant, the industry’s most advanced voice-driven virtual assistant for meetings and collaboration. As a Machine Learning Engineer, you will be responsible for mentoring, leading and coaching junior members of the team and making key architectural decisions on the direction of our machine learning platform.


Who You’ll Work With
You’ll join a small, high-caliber team of machine learning and natural language processing experts that are passionate about the future brought by AI. We move fast, take ownership and deliver results that matter. We’re not just aiming to build a conversational AI; we strive to build the best conversational AI application the world has ever seen.
Link: https://jobs.cisco.com/jobs/ProjectDetail/Senior-Machine-Learning-Engineer-Webex-Intelligence/1257539
machine learning specialist for speech recognition
World Intellectual Property Organization
Explore automatic voice recognition applied to conferences in United Nation agency environment.
WIPO gathered hours of audio/transcripts of conferences and wants to use this in a running product for ASR during its diplomatic conferences. Existing running prototype exists, based on open source returnn. Full description of duties available on demand, please get in conact through email or during the conference
intern in NLP applied to CV screening
World Intellectual Property Organization
explore the use of NLP techniques to assist with the screening of job applications.
please contact me for more details
AI/ ML Graduate Fellowship Awards
Verisk Analytics
Verisk | AI is conducting high-impact research to build human-machine collaborative systems and workflows. To develop and expand our relationships with promising young graduate students, we offer student fellowship awards that recognize and support excellence in AI-related thesis research. Open to graduate students worldwide, the fellowships provide a monetary award for up to two years and may include an internship with our AI team. In addition, we’ll match each fellowship student with a Verisk | AI scientist who will serve as a mentor and guide. Fellowship students are a highly select group who can select from a wide variety of research areas including:

• visual understanding: images, videos, and 3D
• natural language processing
• speech and audio understanding
• document analysis and understanding
• information extraction and text mining
• knowledge representation and reasoning
• weather, climate, and health catastrophe modeling
• workflow optimization and operational
decision making
• deception detection, entity resolution, fake news, and
risk mitigation
• supply chain modeling
• open-world and adversarial robustness
• zero-shot, generalization, and transfer learning
• interpretability, explainability, and bias
• human-machine and machine-machine collaborative AI
• AI theory and performance guarantees

To learn more about our graduate student fellowship awards and how to apply, please contact us at AIstudentawards@verisk.com.

* Come visit us at Booth #19 to find out more.*
Three senior ML/NLP Scientists
Elsevier
Elsevier is looking for Data Scientists to work collaboratively in a growing DS team helping to make the most of Elsevier’s data and to enhance user experience for researchers and professionals in science, technology, engineering and medicine.

The most important thing you do is research, design and build enrichment services on top of Elsevier’s core data set that includes scientific publications and their meta-data. This includes entity resolution, identification of anomalies and inter-linking additional internal and external data sets. You will have an opportunity to impact virtually all applications supported by the Research Products group in Elsevier such as Mendeley, Science-Direct, Scopus, ….

What you’ll be doing:
Research, develop and evaluate algorithms to power entity resolution services (e.g. author disambiguation, document deduplication)
Identify, obtain and prepare large scale data sets for training and testing algorithms (e.g. data cleaning, data normalization, data linkage)
Content categorization assigning semantic labels to records expressing what the record is about.
Productionize prototypes with the support of skilled engineers to make reliable, scalable systems
Deliver presentations that communicate the value of developed technologies to the business

You have:
Minimum MS in related fields such as Computer Science, Engineering, Mathematics, Statistics or equivalent work experience minimum 2 years.
Experience with programming in Python, Java and/or Scala
Experience with machine learning libraries (e.g. scikit-learn, SparkML, DL4J)
Experience using ETL and data pipelines (working with basic API & batch processing)
Experience with developing scalable data science solutions into production
Experience with at least one query language (e.g. SQL, SPARQL)
Some familiarity with big data technologies such as Spark
Experience in ad-hoc data analysis and root-cause analysis
Working in teams that are geographically distributed across multiple locations
Link: https://4re.referrals.selectminds.com/elsevier/jobs/data-scientist-24852
Research software engineer
NYU (Bowman group/ML for Language group)
Hi world! I'm hiring a full-time research engineer. If you're interested in transitioning from software engineering to NLP/ML research, and you'd be up for a stint in an academic lab, apply at the Interfolio link above or come find me in person. (Don’t express interest through the app. I can only consider Interfolio applications.)
-Sam Bowman
Link: https://apply.interfolio.com/65666
Principal Data Scientist
Elsevier
The primary focus of the Principal Data Scientist is to support in creating a vision, roadmap and implementation plan for search and at times recommendation functionalities and data science needs within the Researcher Platforms group of Elsevier. These outputs will be utilized across the Elsevier organization which will include the integration of various data types like scientific (publications, awards), usage, and news to identify monetization opportunities across Elsevier’s platforms.

The Principal Data Scientist will design, implement and evaluate test frameworks, data cleansing, linking and knowledge mining techniques that will allow integrated use of the linked data and support the Elsevier product vision. The role includes responsibility for defining and executing an implementation plan based on good understanding of business priorities, key performance targets, data standardization - and scalability requirements. The Lead Data Scientists experience and understanding of Information Systems (e.g. information retrieval, recommender systems, search engines) and Machine Learning will enable Elsevier to turn product ideas into potent software solutions.

The role holder will at times represent Elsevier internally and externally at meetings and contribute to the research community with the creation of content/publications within areas of relevance and actively support events or initiatives within the community.
Link: https://4re.referrals.selectminds.com/elsevier/jobs/principal-data-scientist-24851
AWS AI - Applied Scientists
Amazon
DESCRIPTION
Amazon is looking for a passionate, talented, and inventive Applied Scientists with a strong machine learning background to help build industry-leading Speech and Language technology.


Our mission is to provide a delightful experience to Amazon’s customers by pushing the envelope in Automatic Speech Recognition (ASR), Machine Translation (MT), Natural Language Understanding (NLU), Machine Learning (ML) and Computer Vision (CV).


As part of our AI team in Amazon AWS, you will work alongside internationally recognized experts to develop novel algorithms and modeling techniques to advance state-of-the-art in human language technology. Your work will directly impact millions of our customers in the form of products and services that make use of speech and language technology. You will gain hands on experience with Amazon’s heterogeneous speech, text, and structured data sources, and large-scale computing resources to accelerate advances in spoken language understanding.

Location priority is Seattle but qualified candidates may also be elligble to be based in Palo Alto as well as NYC.

Link: https://www.amazon.jobs/en/jobs/665539/amazon-ai-applied-scientist
AI Faculty Awards
Verisk Analytics
To help foster and expand our long-standing collaborations with academic institutions worldwide, Verisk | AI offers faculty research awards that recognize and support continued excellence in AI research. Open to faculty and academic researchers at institutions around the globe, the awards include unrestricted gifts that support up to two graduate students for one year.

The faculty research awards are highly competitive and help fund projects focused on a wide range of cutting-edge AI and ML research, such as:

• visual understanding: images, videos, and 3D
• natural language processing
• speech and audio understanding
• document analysis and understanding
• information extraction and text mining
• knowledge representation and reasoning
• weather, climate, and health catastrophe modeling
• workflow optimization and operational decision making
• deception detection, entity resolution, fake news, and risk mitigation
• supply chain modeling
• open-world and adversarial robustness
• zero-shot, generalization, and transfer learning
• interpretability, explainability, and bias
• human-machine and machine-machine collaborative AI
• AI theory and performance guarantees

To learn more about our faculty research awards and how to apply, please contact us at
AIfacultyawards@verisk.com.

Come visit us at Booth #19 to find out more.
Two ML/NLP Scientists
Elsevier
Elsevier is looking for a Data Scientist to work collaboratively in a growing DS team helping to make the most of Elsevier’s data and to enhance user experience for researchers and professionals in science, technology, engineering and medicine.

The most important thing you do is research, design and build enrichment services on top of Elsevier’s core data set that includes scientific publications and their meta-data. This includes entity resolution, identification of anomalies and inter-linking additional internal and external data sets. You will have an opportunity to impact virtually all applications supported by the Research Products group in Elsevier such as Mendeley, Science-Direct, Scopus, ….

What you’ll be doing:
Research, develop and evaluate algorithms to power entity resolution services (e.g. author disambiguation, document deduplication)
Identify, obtain and prepare large scale data sets for training and testing algorithms (e.g. data cleaning, data normalization, data linkage)
Content categorization assigning semantic labels to records expressing what the record is about.
Productionize prototypes with the support of skilled engineers to make reliable, scalable systems
Deliver presentations that communicate the value of developed technologies to the business
Senior ML/NLP Scientists
Elsevier
Elsevier is looking for a Data Scientist to work collaboratively in a growing DS team helping to make the most of Elsevier’s data and to enhance user experience for researchers and professionals in science, technology, engineering and medicine.

The most important thing you do is research, design and build enrichment services on top of Elsevier’s core data set that includes scientific publications and their meta-data. This includes entity resolution, identification of anomalies and inter-linking additional internal and external data sets. You will have an opportunity to impact virtually all applications supported by the Research Products group in Elsevier such as Mendeley, Science-Direct, Scopus, ….

What you’ll be doing:
Research, develop and evaluate algorithms to power entity resolution services (e.g. author disambiguation, document deduplication)
Identify, obtain and prepare large scale data sets for training and testing algorithms (e.g. data cleaning, data normalization, data linkage)
Content categorization assigning semantic labels to records expressing what the record is about.
Productionize prototypes with the support of skilled engineers to make reliable, scalable systems
Deliver presentations that communicate the value of developed technologies to the business
Link: None
AWS AI - Applied Scientists
Amazon
DESCRIPTION
Amazon is looking for a passionate, talented, and inventive Scientists with a strong machine learning background to help build industry-leading Speech and Language technology.
Our mission is to provide a delightful experience to Amazon’s customers by pushing the envelope in Automatic Speech Recognition (ASR), Machine Translation (MT), Natural Language Understanding (NLU), Machine Learning (ML) and Computer Vision (CV).


As a part of our AI team in Amazon AWS, you will work alongside internationally recognized experts to develop novel algorithms and modeling techniques to advance the state-of-the-art in human language technology. Your work will directly impact millions of our customers in the form of products and services that make use of speech and language technology. You will gain hands on experience with Amazon’s heterogeneous speech, text, and structured data sources, and large-scale computing resources to accelerate advances in spoken language understanding. You will be responsible for providing leadership and mentorship to others within the Amazon AI Science teams.
We are hiring in all areas of human language technology: ASR, MT, IE, NLU, text-to-speech (TTS), and Dialog Management, in addition to Computer Vision.
Link: https://www.amazon.jobs/en/jobs/695251/applied-scientist-amazon-ai
NLP Software Engineer
NTENT
At NTENT we provide an end-to-end AI-Powered Search and Voice platform. Our Web Search Engine already handles more than a million unique monthly users. Our Barcelona office is home to the Analytics and Search teams, seeking to improve our ranking algorithms, analyze activity from our users and refine our Natural Language Processing platform. We are a dynamic company looking for the next great hire to join our team.

Enjoy the context of agility and innovation of a startup with the security of technology already deployed. Work on unique challenges whose solutions will positively impact millions of users.

— What your profile should look like:

• Master’s degree or PhD in Computer Science or a related field, or 3+ years industry experience.
• Strong understanding of Computer Science fundamentals, including algorithms, data structures and complexity.
• Solid programming abilities in at least two languages out of Java, Python, Scala or similar.
• Knowledge of Natural Language Processing techniques, including Statistical & Neural Language Models and Low-Resource approaches to NLP.

— What you would be doing:

• Help us identify, categorize, summarize and efficiently represent documents in our index and the queries that should match them.
• Design appropriate representations and models for real-time inference in a time-constrained setting.
• Improve our Learning-to-Rank models, evaluating and interpreting the importance of existing features and proposing approaches to reduce performance costs and improve results.

— What we are offering:

Working with us you will receive a competitive salary with yearly performance bonus and company stock options. In our office, we have flexible schedules with company-provided lunch cards. Every year, you will be able to attend up to two international conferences. Finally, you will get to work in an open, multicultural office with great colleagues, a relaxed atmosphere and amenities.

Learn more at https://ntent.com/
Link: https://ntent.com/
AWS Comprehend Medical - Applied Scientists
Amazon
DESCRIPTION
Our vision at Amazon Comprehend Medical is to simplify and advance Natural Language Processing (NLP) in Healthcare. We are building a team of passionate people who are focused on changing the world for the better. Our mission is to provide a delightful experience to Amazon’s customers by pushing the envelope in Automatic Speech Recognition (ASR), Machine Translation (MT), Natural Language Understanding (NLU), Machine Learning (ML). If you want your work to positively impact the lives of millions of people and you’re up for a challenge, let’s talk!

We are looking for a passionate, talented, and inventive Senior Applied Scientists who can bring bleeding edge machine learning and NLP techniques into real products solving real problems together with a highly multi-disciplinary team of scientist, engineers, strategic partners, product managers and subject domain experts.
Link: https://www.amazon.jobs/en/jobs/754406/senior-ml-scientist
NLP engineer (Dublin, Ireland)
Nuritas Ltd / Queen's University Belfast
Nuritas is a Dublin-based biotech company revolutionizing the discovery of novel and natural active ingredients with scientifically proven health benefits. Our disruptive approach to discovery provides access to the most health-benefiting components within foods by combining artificial intelligence and DNA analysis to data-mine billions of molecules.


What the role will involve
---------------------------------------

In this role, you will work on a project extracting structured information from large volumes of unstructured academic literature using state-of-the-art techniques in Natural Language Processing and storing this information using novel knowledge representation technologies.

The successful graduate will join this project in a supportive research partnership with Queen’s University Belfast and can also choose to undertake a fully funded post graduate qualification in Business & Management as part of the employment package.


We need you to have
---------------------------------

Master’s degree from an accredited program in Computer Science or PhD in computer science/Math/statistics or related fields

1+ years of professional, hands-on experience with NLP, information retrieval, or text analysis

Legally permitted to work in the EU


We would like you to have
-----------------------------------------

Experience with the state-of-the-art in Natural Language Processing methodologies (e.g. large-scale recurrent models or transformer architectures)
Knowledge representation and information retrieval (e.g. knowledge graphs, ontologies, search engines)

Knowledge and good hands-on experience of common machine learning frameworks (e.g. sklearn, Tensorflow, Keras, Pytorch)

Exposure to software engineering techniques (i.e. experience with version control, best practices in software design)

Ideally experience with biological or healthcare data or analysis of scientific research articles
Link: https://ie.linkedin.com/jobs/view/natural-language-processing-nlp-engineer-at-nuritas-1387392521
PhD in Natural Language Processing and Semantic Reasoning
Bosch
You will develop and evaluate innovative methods and systems for automatic text processing and knowledge management, with the aim of analyzing large unstructured "big" data in an intelligent way.
In your PhD, you will use machine learning methods (e.g., deep learning), focusing on domain independence such that models and systems are applicable to a variety of domains and applications.
You will work in a team of experienced and talented young researchers.
You publish in top-tier journals and conferences.

Interested? Come talk to us at our booth or write us an email: heike.adel@de.bosch.com or annemarie.friedrich@de.bosch.com
Link: www.bosch-career.de/jobs
NLP Researcher (sentiment analysis, neural networks)
SumUp Analytics
Researching and implementing novel NLP algorithms to be applied to large volumes of textual data, particularly using sentiment analysis, neural networks and topic extraction, with a focus on financial data.

SumUp is a San Francisco based startup working on machine learning applied to text, with a focus on speed and interpretability.
Link: http://sumup.ai
postdoc in cl/nlp
University of Stuttgart
We have an opening for a 3-year postdoc position at IMS, Stuttgart university, in the TCL group (Sebastian Pado, Roman Klinger). Topic open but should overlap with our interests. Text me and let's meet if you are interested!
Internship in Natural Language Processing and Semantic Reasoning
Bosch
You will develop and evaluate innovative methods and systems for automatic text processing and knowledge management, with the aim of analyzing large unstructured "big" data in an intelligent way.
You will work in a team of experienced and talented young researchers.

Interested? Come talk to us at our booth or write us an email: heike.adel@de.bosch.com or annemarie.friedrich@de.bosch.com
PhD position in conversational AI for healthcare
Philips Research
Marie Curie PhD PHILHUMANS: Conversational AI for automated digital therapy and counseling

Obtain your Doctoral degree by carrying out industrial research, enlarging relevant knowledge and bringing-in new knowledge regarding advanced machine learning algorithms combining both knowledge-driven and data driven approaches for conversational AI in healthcare applications.
Internship offers in NLP for healthcare applications
Philips Research
we offer several internship projects in NLP for healthcare, ranging from discourse analysis, text classification to conversational agents. Topics are flexible and can be adapted to the applicant's interests
NLP Manager (CL, Discourse-level, meeting summaries)
Dialpad
At Dialpad, we use AI to help businesses make smarter calls. Our Voice Intelligence team builds custom speech recognition and natural language processing models to generate insights and real-time recommendations to improve conversations. AI in Dialpad’s suite includes applications to our cloud based phone system, videoconferencing (Uberconference), and Sell and Support products. Our goals include using AI and real-time guidance to ensure every call and meeting participant understands the conversation, has their voice heard and effortlessly receives personalized summaries and action items.

About the Role


As NLP Manager at Dialpad, you will be a key player in further developing our A.I. technology. You will manage and expand the team of CL/NLP/NLU scientists and engineers in Vancouver. You will lead this team in continuing to improve the training of state of the art speech recognition models and solving innovative CL/NLU problems to understand and extract insights from business telephone conversations. You will study real conversations, looking for ways that we could provide feedback to users so that they can have more effective, empathetic and engaged interactions with their customers. We take an eclectic  approach, mixing insights and methods from linguistics (Conversation Analysis, Discourse Analysis, Sociolinguistics, syntax, semantics, Speech Act Theory) with empirical methods and state-of-the-art machine learning.



Dialpad is a 500 person company headquartered in San Francisco, with offices in Canada and the US.

You can reach out to me to grab coffee at ACL (etienne@dialpad.com)
Link: https://drive.google.com/file/d/1xVaU5mFQc8JeFLDLVPprznoj0X-EqGNV/view?usp=drivesdk
Principal Inventive Scientist - Dialog
Interactions
Passionate about dialog and conversational AI ? Interactions Corporation is actively looking for research scientists to join their Research and Innovation team. We are a late stage start-up with a razor sharp focus on dialog and provide natural conversational experiences for customers of numerous Fortune 500 brands. Our Intelligent Virtual Assistant platform processes billions of utterances a year —- yes, lot of fascinating data to work with. In this role you’ll be conducting original research on dialog management and applying it to real world challenges in building robust and effective conversational systems.

See the attached listing for more details on the role and feel free to reach out to me at the conference.

Best,
Michael
Link: ‪https://interactions.hua.hrsmart.com/hr/ats/Posting/share/973‬
MT post-doc, H2020 Bergamot
Uni. Tartu
The H2020 project Bergamot (http://browser.mt) is looking for a post-doc to work in Tartu, Estonia. Broadly speaking: you’ll balance high degree of independence with high expectations :-) more specifically as part of Bergamot we are working on light-res NMT system adaptation to domain / other additional info. Ping me if interested!
Link: None
Deep learning and NLP researchers at MSRA
Microsoft Research Asia
We're hiring all-level researchers. If you are passionate on deep leaming and NLP, welcome to join us!

Qualifications
1. Expert understanding of state-of-the-art deep learning techniques, evidenced by a strong publication record in relevant conferences (e.g., NeurIPS, ICLR, ICML, ACL, EMNLP, NAACL, …) or product development.
2. Hands-on experience with current frameworks (e.g., TensorFlow, PyTorch, ...).
3. Interest in deep research with high real-world impact, especially NLP applications.
4. Completed PhD (or close to completion of PhD).
Link: https://www.microsoft.com/en-us/research/people/taoqin/
Applied Scientist-Alexa Shopping
Amazon
You: Alexa, I am looking for a new career opportunity, where I could do innovative development in AI and impact millions of customers, what do you suggest?
Alexa: The Alexa Shopping team is looking for Research Engineers to help me become the best personal shopping assistant. Do you want to hear more?
You: Yes, please!

The Alexa Shopping team is looking for Applied Scientists to build the next generation of shopping assistants.

As an applied scientist in Alexa Shopping, you will be responsible for the research, design and development of new natural language, search, and machine learning technologies for voice shopping. You will be working with top scientists and engineers, as well as with product teams and other research partners, both locally and abroad. Your work will combine data mining, systems and software development, exploration of new technologies, as well as publications and presentations at top scientific conferences.

The ideal candidates have deep expertise in one or several of the following fields: Information Retrieval, Web search, Web data mining, Machine Learning, Natural Language Processing, Artificial Intelligence. An ideal candidate shows a bias for action and has a strong understanding of empirical methods. The ability to write clearly and speak convincingly as evidenced through participation in academic conferences and service in the scientific community are a must.
Link: https://www.amazon.jobs/en/jobs/660282/applied-scientist-alexa-shopping
Applied scientist - Alexa
Amazon
Do you want to work on Alexa, the brains behind user-delighting spoken language products that Amazon is building like the Amazon Echo, Amazon Dash, and Fire TV? The Entity Resolution (ER) team works on one of the core server-side components for Alexa’s Natural Language Understanding (NLU) module, which provides additional context and information about the user’s question to Alexa. We are still a long way away from perfecting it, and are looking for curious and passionate leaders that are interested in building something that will make a difference in millions of users' daily lives.

We are looking for Applied Scientist who can expand their NLP and ML knowledge to give a customer delighting answers.

You will have the opportunity to make an impact to the design, architecture, and implementation of products that span multiple internal Amazon teams to deliver solutions that are customer delighters. This role will have regular interactions with various internal business owners to help prioritize tasks/projects, handling system issues, and managing communication across all stakeholders.
——
If you are interested please either contact me or Rommel Morales at Amazon booth
Link: https://www.amazon.jobs/en/jobs/796332/applied-scientist-alexa-ai
🏅Microsoft: NLP AI Applied Scientist (ALL Levels, including interns)
Microsoft (China)
Address the challenging problems in various MS products by Deep Learning or Reinforcement Learing, and publish high impact papers.

Track state-of-the-art NLP technology and keep lead positions in public competitions of various NLP tasks, including IR, QnA, MRC, dialogue, etc.
Link: https://careers.microsoft.com/us/en/job/660253/Principal-NLP-Scientist-Manager-NLP-Scientist
Software Engineering, Machine Learning
Lumi Labs
Lumi Labs is an early-stage technology start-up founded by Marissa Mayer and Enrique MuĂąoz Torres, based in downtown Palo Alto. We are focused on building consumer applications enabled by artificial intelligence.

We are looking for software engineers with strong backgrounds in artificial intelligence and machine learning, who thrive in exploring new datasets and ambiguous problem spaces. As a early team member, you should be comfortable working in a fast-paced environment and enjoy applying your experience to new domains to help find fresh ideas. If finding novel, potentially cutting edge, uses of artificial intelligence on everyday problems sounds interesting to you, please consider applying!
Link: https://lumi-labs.workable.com/jobs/782838
ML/NLP Scientist (all levels)
JPMorgan Chase
J.P. Morgan Intelligent Digital Solutions (IDS) is a newly developed division of J.P. Morgan Asset & Wealth Management – one of the largest asset and wealth mangers in the world – and primarily focuses on using statistical analysis, modeling techniques, and deep learning methods to drive innovative solutions for investment insights, improved client engagement, and operational effectiveness.  This is an exciting opportunity to join a small, dynamic team with the resources and impact of one of world’s largest companies.
Link: https://jobs.jpmorganchase.com/ShowJob/Id/229318/Asset-Wealth-Management-%E2%80%93-Intelligent-Digital-Solutions-%E2%80%93-Data-Science-and-Machine-Learning-Team-%E2%80%93-Analyst-Associate/
Research Engineer (All levels)
Educational Testing Service
ETS is the world’s premier educational measurement institution and a leader in educational research. As an innovator in developing achievement and occupational tests for clients in business, education, and government, we are determined to advance educational excellence for the communities we serve.

JOB DESCRIPTION

ETS's Research & Development division has an opening for an associate research engineer in the NLP & Speech research group. The projects in this research group focus on the application of NLP, speech, dialogue, and multimodal processing algorithms in automated scoring capabilities for assessment and learning tasks involving constructed responses (such as essays and spoken responses). In addition to its signature automated scoring systems for speech and text assessments, the group is actively pursuing technology innovation in education and learning spaces by performing foundational research, prototyping next-generation capabilities, and collaborating with academic and industry partners. The NLP & Speech research group currently comprises around 20 PhD-level research scientists, 10 research engineers, and 10 research assistants and administrative staff.

This is an excellent opportunity to be part of a world-renowned research and development team and have a significant impact on existing and next-generation NLP, speech, dialogue, and multimodal systems and their use in educational applications.

Please visit the link for more information.
Link: https://etscareers.pereless.com/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=278671
Research Scientist
Salesforce Research Asia
Please apply on the link if interested.

Job Details:

Salesforce Research is pioneering in the field of deep learning, natural language processing and artificial intelligence. At Salesforce, the research team is committed to collaborating with the wider research community; while research scientists have the opportunity to work directly on advancing technologies that customers use as part of the Einstein AI Platform, they may also focus exclusively on high-impact publications. We believe that making substantive progress on hard applications can drive and sharpen the research questions we study, and, in turn, scientific breakthroughs can spawn entirely new applications. With this in mind, the team maintains a portfolio of projects, some with an immediate path to production, others that may not find an immediate application for several years.

Salesforce Research Asia is looking for outstanding entry level research scientists, located in Singapore. As a research scientist, you discover new research problems, develop novel models, design careful experiments and generally advance the state of the art in research. Research scientists have the freedom to set their own research agenda and move between pure and applied research.

Candidates should have a strong background in one or more of the following fields in AI: deep learning, machine learning, natural language processing, computer vision, speech recognition, or reinforcement learning. Additionally, applicants should have in-depth experience with one or more applications, such as dialogue systems, question answering, machine translation, text categorization, text summarization, information extraction, asian-language or multi-language processing, language and vision, image classification, object detection, semantic segmentation, or other related applications in AI.
Link: https://salesforce.wd1.myworkdayjobs.com/en-US/External_Career_Site/job/Singapore---Singapore/Research-Scientist_JR33601
Research Engineer / Applied Scientist
Salesforce Research Asia
Job Details

Salesforce Research Asia and Einstein.AI are looking for extraordinary research engineers / applied scientists. As a research engineer at Salesforce Research, your role will be at the intersection of software engineering and research, and may range from implementing novel research models to rapid-prototyping demos that show off applications of cutting-edge deep learning and AI capabilities on production data. You will work closely with research scientists to develop models, prototypes, and experiments that push the state of the art in AI research, paving the way for innovative products for the Einstein AI Platform. You will have the opportunity to take on real-world problems from Salesforce’s enterprise customers with the latest deep learning models.

You are expected to have strong programming skills and a background in one or more of the following domains: deep learning, machine learning, speech, natural language processing, and computer vision, with applications to such as: Automatic Speech Recognition (ASR), Text-To-Speech (TTS), text categorization, machine translation, text summarization, sentiment analysis, question answering, dialogue systems, language and vision, image classification, object detection, instance segmentation, and semantic segmentation, etc.

* If interested, please apply online where you can fund the full job description *
Link: https://salesforce.wd1.myworkdayjobs.com/en-US/External_Career_Site/job/Singapore---Singapore/Research-Engineer-Applied-Scientist--Salesforce-Research-Asia--Entry-Level-_JR45063
Senior Research Engineer/ Applied Scientist
Salesforce Research Asia
Salesforce Research Asia and Einstein.AI are looking for extraordinary senior/lead research engineers (applied scientists). As a senior/lead research engineer, you will work with research scientists and engineers to develop and productize new cutting-edge models and associated artifacts such as data preparation pipeline and model characterization logic. You will ensure these models are developed to support accuracy, performance or other specific customer requirements. You will work with platform team to support deployment of these models. In other words, you are a problem solver, a deep learning model designer, and an engineer who makes sure the model is deployed at scale to serve our customers with state-of-the-art speech, vision, and language technologies.

We believe that making substantive progress on hard applications can drive and sharpen the research questions we study, and, in turn, scientific breakthroughs can spawn entirely new applications. With this in mind, the team maintains a portfolio of projects, some with an immediate path to production, others that may not find an application for several years.

You have a strong background in one or more of the following fields: voice recognition, natural language processing, computer vision, deep learning, machine learning, reinforcement learning. Additionally, applicants should have in-depth experience with practical problems, such as automatic speech recognition (ASR), text-to-speech (TTS), text categorization, machine translation, text summarization, sentiment analysis, question answering, dialogue systems, language and vision, image classification, object detection, instance segmentation, and semantic segmentation, etc.

Link: https://salesforce.wd1.myworkdayjobs.com/en-US/External_Career_Site/job/Singapore---Singapore/Senior-Lead-Research-Engineer-Applied-Scientist--Salesforce-Research-Asia_JR45073
Machine translation researchers/engineers
Apple
Multiple positions available for different levels. Please contact me if interested.
Link: None
PhD position in computational psycholinguistics @SDSU
San Diego State University
Computational psycholinguistics and cognitive modeling of human dialogue.
Lexical semantics.
Linguistic theories in general.
Link: clcs.sdsu.edu
JOB OPENINGS @ HUAWEI
HUAWEI
We are hiring @ Huawei Noah’s Ark Lab

The Noah’s Ark Lab is the AI research lab of Huawei Technologies, located in major cities around the world. The mission of the lab is to make significant contributions to both the company and society by innovating in artificial intelligence, machine learning and related fields. We welcome talented researchers and engineers to join us to realize their dreams. To learn more about us, please visit http://www.noahlab.com.hk/

The Speech and Semantic Lab (of Noah’s Ark Lab) dedicates to research and applications of speech and natural language processing, and deep learning. We are looking for researchers and engineers in the related areas at all levels, including junior and senior positions.

Location:
Shenzhen, Beijing, Hong Kong, Montreal, Moscow

Responsibilities:
Conduct cutting-edge research in the field of natural language processing, speech recognition and synthesis, multimodal learning, knowledge graph and deep learning.
Develop AI-enabled products and services with other groups in the company
Collaborate with world-class organizations in academia

Qualifications:
For researcher positions, we are looking for candidates who

possess a PhD degree in computer science, statistics, applied mathematics, or have equivalent research experiences

demonstrate the ability to generate new ideas and innovate

have 3 years of academic or industrial working experiences in natural language processing speech recognition and synthesis, multimodal learning, knowledge graph, deep learning, or related fields

have strong programming skills, experienced in one or more programming languages including but not limited to: C/C++, Java, Python.


Application: Interested candidates should send application materials including resume to Noahlab@huawei.com.
Link: http://www.noahlab.com.hk/
Post doctoral researcher in NLP
Fraunhofer IIS
You will develop and implement methods for natural language processing. This comprises

research on state of the art methods, their comprehensive evaluation and improvement

integration of implementations into a prototype system

communicating and coordinating activities with project partners as well as internal and external stakeholders

About us

The Audio and Media Technologies department develops world-class audio processing technology. Audio and media technologies at Fraunhofer IIS is one of the largest organizations in the world for audio and speech processing. Over 200 engineers and scientists develop first-rate audio technology which is sold world-wide – in Europe, USA, China, Korea and Japan.
In the past 25 years, Fraunhofer IIS repeatedly won international competitions in the audio and media field: e.g. with mp3 and codecs of the AAC-family.

What we expect from you

PhD in Computer Sciences with focus on Computational Linguistics, in NLP or in a related field

Profound knowledge of natural language processing and computational linguistics

Excellent skills in Python

Solid knowledge of machine learning

Hands-on experience with deep neural networks, e.g. TensorFlow or PyTorch

Excellent written and oral communications skills in English

What you can expect from us

Opportunities to bring your ideas into life and to push frontiers in research and applications of language processing

Involvement in diverse activities and the chance to take responsibility within interdisciplinary teams

An open and friendly work atmosphere

Flexible hours and access to various services for a proper work-life balance

Working in a vibrant research environment
Link: https://recruiting.fraunhofer.de/Vacancies/44996/Description/2
(Senior) Research Scientist
SAP SE
We are looking for a (senior) research scientist in machine learning for our research team in Berlin. Ideal candidates have a strong publication record and experience in NLP. Our team operates at the cross section of academia and industry, getting the best of both worlds.
Link: https://jobs.sap.com/job/Berlin-%28Senior%29-Research-Scientist-%28Senior%29-Researcher-for-SAP-Machine-Learning-Research-Job-BE/519988201/
Data Scientist
Elsevier
The services that Elsevier provides are becoming increasingly dependent on Smart Content to support Elsevier’s corporate strategy of greater volume, types and sophistication of content. Elsevier is looking for a Data Scientist with a focus on Machine Learning, NLP, and Statistical techniques to help build state of the art applications for the health sciences domain. Hands on coding of NLP/ML/statistical algorithms is an absolute must.
The data scientist will participate in the design, prototyping and implementation of TDM/ML and automation applications for our businesses. These applications have two main goals: cost savings by building workflow efficiencies or revenue generation by working directly on products or product capabilities. You will work closely with both the nursing education and health sciences teams. Sample projects may include extracting medical information from electronic health care records, recommender systems for adaptive nursing and education, integrating big data sets to perform predictive analytics, classifying and curating our image assets, content enrichment pipelines for clinical decision support and search algorithms.
You will also work closely with the EMMeT (Elsevier Medical Merged Taxonomy) team providing data analytics on EMMeT and related terminologies to support decision-making, designing automated approaches to bulk updates, ontology validation and terminology mappings, and will bring ML/NLP expertise to the team. You will work with a team of medical experts, as well as product leads to determine how to best build and leverage semantic capabilities. Knowledge of database query language (SQL) and scripting language (Python) are mandatory. Experience with Natural Language Processing application is necessary, and experience with medical terminologies such as UMLS, SNOMED CT, ICD-9, ICD-10, CPT, LOINC etc is a plus.
Link: https://4re.referrals.selectminds.com/jobs/data-scientist-24602
Data science researcher
In-Q-Tel
Lab41, an In-Q-Tel Lab, has a core mission to build capability, provide thought leadership, and develop cutting edge research to support the intelligence community. Through prototyping and engineering, Lab41 works on cutting edge machine learning problems that will inform the United States government. In addition to working with startup companies, Lab41 brings industry, academia, and government together to tackle difficult big data challenges in audio and speech, video and image processing, computer vision, natural language processing, and general machine learning.
Link: None
Research Scientist
Salesforce Research
We’re hiring at all levels!

Salesforce Research (previously MetaMind) is looking for outstanding research scientists.

Research scientists discover new research problems, develop novel models, design careful experiments and generally advance the state of the art in AI. At Salesforce, the research team is committed to collaboration with the wider research community; while research scientists have the opportunity to work directly on advancing technologies that customers use as part of the Einstein Platform, they may also focus exclusively on publications. We believe that making substantive progress on hard applications can drive and sharpen the research questions we study, and, in turn, scientific breakthroughs can spawn entirely new applications. With this in mind, the team maintains a portfolio of projects, some with an immediate path to production, others that may not find an application for several years. Research scientists have the freedom to set their own research agenda and move between pure and applied research.

Ideal candidates have a strong background in one or more of the following fields: deep learning, machine learning, natural language processing, computer vision, or reinforcement learning. Additionally, applicants should have in-depth experience with one or more of text categorization, text summarization, information extraction, question answering, dialogue learning, machine translation, language and vision, image classification, image segmentation, or object detection.

Candidates should have a strong publication record in top-tier conferences or journals (e.g. NIPS, ICML, ICLR, ACL, CVPR, KDD, PAMI, JMLR, TACL, IJCV).

In addition to their own research agenda, senior research scientists will have the opportunity to take on additional responsibilities leading project teams, mentoring interns, and advising junior research scientists.
Link: https://salesforce.wd1.myworkdayjobs.com/en-US/External_Career_Site/job/California---Palo-Alto/Research-Scientist---Salesforce-Research--Entry-Level-_JR45104-1
Research Engineer/Applied Scientist
Salesforce Research
We’re hiring at all levels!

Salesforce Research (previously MetaMind) is looking for extraordinary research engineers.
As a research engineer at Salesforce Research, your role will be at the intersection of software engineering and research, and may range from implementing novel research models to rapid-prototyping demos that show off applications of deep learning on production data. You will work closely with research scientists to develop models, prototypes, and experiments that push the state of the art in AI research, paving the way for innovative products for the Einstein AI Platform. You will have the opportunity to take on real-world problems from Salesforce’s enterprise customers with the latest deep learning models.

You have strong programming skills and a background in one or more of the following domains: deep learning, machine learning, natural language processing, or computer vision, with applications such as: text categorization, text summarization, sentiment analysis, information extraction, question answering, dialogue learning, language and vision, image classification, image segmentation, and object detection.

If interested, please apply online where you can also find additional job descriptions.
Link: https://salesforce.wd1.myworkdayjobs.com/en-US/External_Career_Site/job/California---Palo-Alto/Research-Engineer--Salesforce-Research--Entry-Level-_JR15798
Applied Scientist II - Alexa AI
Amazon
Do you want to work on Alexa, the voice activated digital assistant powering Amazon Echo, Dot, Show and Fire TV? Are you an Applied Scientist who dreams of building solutions that combine the latest technology in applied machine learning, NLP and distributed Cloud services? The Alexa AI Natural Understanding team works on the core server-side components for Alexa’s Natural Understanding (NU) modules. We are looking for a talented, detail-oriented and self-motivated Applied Scientist who is passionate about new technologies to join the team. You will be working alongside top notch machine learning scientists and engineers building complex new capabilities for Alexa. Our systems need to meet remarkably high standards of quality, performance and reliability, operating around the clock on a massive scale. As a member of the team, you will be responsible for leading the development and launch of core product features. You will deliver key machine learning solutions into production, while inventing and building algorithms from the ground up. You will have significant influence on the overall strategy by helping define these product features, drive the system architecture, and spearhead the best practices that enable a quality product to delight Alexa customers.

Link: None
New fast-growing AI Lab: Scientists/Engineers/Interns
Blue Prism Group PLC
https://www.blueprism.com/news/blue-prism-expands-r-d-capabilities-adding-dedicated-ai-labs-and-outlines-roadmap-for-embedded-ai-capabilities

https://www.blueprism.com/who-we-are/culture-and-careers/research-engineer

If you are interested, let's have a chat in the conference or you can drop me an email with your CV.
Researcher & Engineer in NLP
Alibaba Group, Damo Academy
We target the next generation of recommendation, searching and ads targeting by creating high quality shopping contents, e.g., shopping guide/tips, bundles/themes associated with the current hot topic, based on the abundant information in Alibaba eco-system. We have many expert-handcrafted training data sources provided by our content-creating platforms, and there are many opportunities for NLP techniques such as Text generation, summarization, reading comprehension, knowledge graph, to play big roles in real frontier applications. For detailed information please contact us.
NLP Scientist
ByteDance
Key Responsibilities:
- Conduct cutting-edge research in artificial intelligence, especially in the fields of natural language processing and machine learning
- Ensure successful technology transfers to ByteDance products

Preferred Qualifications:
Here is what we would like to see in you:
- Ph.D. or master degree in relevant fields.
- Strong analytical skills, algorithmic and coding skills (such as C++, Java, Python, CUDA programming).
- Research experience in but not limited to the following:
- Machine learning: deep learning, large-scale optimization, probabilistic inference, reinforcement learning, etc.
- Syntactic and semantic parsing
- Text summarization
- Natural language generation
- Dialog system
- Question answering, machine comprehension
- Text classification
- Knowledge graph and information extraction
- Machine translation
Link: job.bytedance.com/en
Computational Linguist (Kyiv)
Grammarly
As a Computational Linguist at Grammarly, you will be responsible for developing ways to identify and correct writing issues using rule-based, statistical, and dictionary-based approaches. You’ll conduct research on a number of linguistic issues (including different modes, genres, and styles of writing), work with large corpora, and explore different linguistic resources and tools.
Link: https://gram.ly/cbbHTh-
(Lead) Machine Learning Scientist & Engineer
Wayfair
Role:
I am looking for applied machine scientist & engineers to join our Machine Learning team at Wayfair Berlin, especially people with expertise and interest in NLP or reinforcement learning. Sample projects include Smart Response System (e.g. BERT etc) and Reinforcement Learning model for optimising Customer Service operation.

Company & Team
Wayfair is the biggest US e-commerce furniture company headquartered in Boston (with EU HQ in Berlin). Machine learning has been the driving force behind the phenomenal success and rapid growth of the company and it is applied in every aspect ranging from computer vision, recommendation, marketing and customer service.

Feel free to reach out to me as I am going to be at ACL all week. I would be happy to have a chat and talk more about the team & role.

Here is a generic job description:
https://www.wayfair.com/careers/job/machine-learning-data-scientist-/4291316002
Machine Learning Engineer
PolyAI
About PolyAI

Machine learning is the lifeblood of virtual assistants. Today, only tech giants have the AI arsenal to build good voice-based apps. PolyAI is developing a machine learning platform to make building great conversational apps as simple as designing a website.

PolyAI recently closed a large seed round with two leading UK-based Venture Capital Funds. We offer competitive salaries with substantial equity packages.

The Role

We are looking for an experienced machine learning engineer to join our core team. The central focus of the role is to turn research prototypes into products that can be deployed at scale. You will provide software development design and support for our research prototypes and work on developing robust data collection and evaluation frameworks for our algorithms. In turn, you will be a key contributor to solving one of the hardest problems in AI, working with a world-leading team of machine learning researchers.

Responsibilities and essential qualifications for this role:

- Master's Degree in Computer Science or a related field, or equivalent industry experience
- Experience with Applied Machine Learning
- Experience with cloud-based services (AWS, GCP, Azure)
- Familiarity with data collection frameworks (Amazon Mechanical Turk, Figure Eight)
- Strong command of algorithms and data structures
- Experience with Python and TensorFlow

Desirable Qualifications:

- Academic publications at top academic conferences
- Experience with large-scale data processing frameworks (Hadoop or Spark)
- Experience with database technologies (SQL, NoSQL, key-value stores)
Link: https://poly-ai.com/
Machine Learning Engineer
PolyAI
About PolyAI

Machine learning is the lifeblood of virtual assistants. Today, only tech giants have the AI arsenal to build good voice-based apps. PolyAI is developing a machine learning platform to make building great conversational apps as simple as designing a website.

PolyAI recently closed a large seed round with two leading UK-based Venture Capital Funds. We offer competitive salaries with substantial equity packages.

The Role

We are looking for an experienced machine learning engineer to join our core team. The central focus of the role is to turn research prototypes into products that can be deployed at scale. You will provide software development design and support for our research prototypes and work on developing robust data collection and evaluation frameworks for our algorithms. In turn, you will be a key contributor to solving one of the hardest problems in AI, working with a world-leading team of machine learning researchers.

Responsibilities and essential qualifications for this role:

- Master's Degree in Computer Science or a related field, or equivalent industry experience
- Experience with Applied Machine Learning
- Experience with cloud-based services (AWS, GCP, Azure)
- Familiarity with data collection frameworks (Amazon Mechanical Turk, Figure Eight)
- Strong command of algorithms and data structures
- Experience with Python and TensorFlow

Desirable Qualifications:

- Academic publications at top academic conferences
- Experience with large-scale data processing frameworks (Hadoop or Spark)
- Experience with database technologies (SQL, NoSQL, key-value stores)
Link: https://poly-ai.com/
Computational Linguist (SF)
Grammarly
As a Computational Linguist, you will be responsible for developing ways to identify and correct writing issues using rule-based, statistical, and dictionary-based approaches. You’ll conduct research on a number of linguistic issues (including different modes, genres, and styles of writing), work with large corpora, and explore different linguistic resources and tools.
Link: https://gram.ly/cbbHTh_
Lead Research Engineer
Grammarly
We're looking for a bright, experienced research lead with a keen interest and background in Natural Language Processing, Machine Learning, and Deep Learning. In this role, you will work with other researchers, engineers, and linguists to create the next generation of writing and communication assistance tools. So if you relish the challenge of leading a team of researcher engineers to research and build exciting new products that will impact millions of lives, we'd love to meet you!
Link: https://gram.ly/cbbHTh2
PhD Position in conversational AI for healthcare
Philips Research
Obtain your Doctoral degree by carrying out industrial research, enlarging relevant knowledge and bringing-in new knowledge regarding advanced machine learning algorithms combining both knowledge-driven and data driven approaches for conversational AI in healthcare applications.
Link: https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fphilips.wd3.myworkdayjobs.com%2Fjobs-and-careers%2Fjob%2FEindhoven%2FMarie-Curie-PhD-PHILHUMANS-ESR-2--Conversational-AI-for-automated-digital-health-counseling_302671-1&data=02%7C01%7C%7C23a9da0e974b4e6286a508d714bcdd49%7C1a407a2d76754d178692b3ac285306e4%7C0%7C0%7C637000673700967696&sdata=T1ADBsM%2BHiIm0BbrseuW3HDvSZ%2BQR2c7BLdff4axZzQ%3D&reserved=0
Student Assistants for Data Collection, Data Annotation and Data Analysis
Fraunhofer IIS
Your tasks: 

You will support us with collection of language data to train our machine learning system

You will support us with data cleaning and pre-processing through simple scripts

You will help with the preparation of annotation guidelines and with the assessment of inter-coder agreement to evaluate data quality

You will annotate language data to train our machine learning system

What we expect from you

You are studying Computational Linguistics, Corpus Linguistics, Linguistics or similar (Computerlinguistik, Korpuslinguistik, Linguistische Informatik, Linguistik)

You are interested in data annotation and related topics (data collection, annotation guidelines, inter-coder agreement, data analysis)

You have some basic scripting experience in at least one of the following: Python, Perl, R. Regex knowledge is a plus.

You are highly motivated to learn, work on complex tasks, use creativity for solving problems

You have good English and communication skills

What you can expect from us

An open and cooperative working environment

Collaboration in interesting and innovative projects

Many opportunities to gain practical experience and attend seminars

Flexibility concerning your working hours
Link: https://recruiting.fraunhofer.de/Vacancies/46712/Description/2
Senior Research Engineer
Microsoft
Come join our team for exciting work. We have openings for Senior research engineers as well as research scientists on all levels. I am at ACL this week, come chat with me if interested to hear more.
Link: https://careers.microsoft.com/us/en/job/675781/Sr-Research-Software-Development-Engineer
PhD student in Dialog Systems
Fraunhofer IAIS
We are looking for a PhD student to work on natural language dialogues resulting in executable code for Data Science. Speaking German is a plus. Please talk to me or Michael Galkin here at ACL.
Associate professor in ML/NLP
University of Oslo, Department of Informatics
Two permanent positions as Associate Professor are available at the Department of Informatics, University of Oslo, within the field of machine learning (ML). Natural Language Processing is one of the four candidate research areas that the positions can potentially be associated with (other areas include image processing, robotics and bio-informatics), depending on the background of the successful applicants.

Application deadline: 30th September 2019

For questions about the positions, please contact Erik Velldal from the Language Technology Group at UiO (erikve@ifi.uio.no).
Link: https://www.jobbnorge.no/en/available-jobs/job/172639/associate-professor-in-machine-learning-two-positions
AI Research Scientists, Engineers, and Interns in London
Blue Prism Group PLC
New fast-growing AI Lab in London looking for Research Scientists, Research Engineers, and Interns.

https://www.blueprism.com/news/blue-prism-expands-r-d-capabilities-adding-dedicated-ai-labs-and-outlines-roadmap-for-embedded-ai-capabilities

https://www.blueprism.com/who-we-are/culture-and-careers/research-engineer

If you are interested, let's have a chat in the conference or you can drop me an email with your CV.
Senior data scientist
Docebo
Docebo is a fast growing SaaS company headquartered in Biassono between Como lake and Milan. Backed by venture capital, Docebo has offices in Europe, Asia and North America, and is currently one of the fastest growing learning technology companies in the market.
Docebo is a truly global organization with a diverse, collaborative working environment. Our “work hard, play hard” mentality helps our teams in the US, Italy, Canada, and the UAE build the best online learning products on the market. We have fun (naturally), but more importantly, we take great pride in our products and strive for an unparalleled experience for both our clients and our people.

At Docebo our Senior Data Scientist is expected to design and implement a variety of robust and efficient data mining and analysis pipelines using best-in-class programming languages, data manipulation frameworks and tools, drawing from multiple heterogeneous and large-scale data sources, either semi-structured or unstructured.

From those pipelines, the Senior Data Scientist will build Machine Learning models to draw statistical insights and prediction for a wide spectrum of applications, and will be responsible to lead the transition of those models to production.
Reports to: AI Product Owner

Link: https://www.docebo.com/blog/breezy-position/senior-data-scientist/
Scientist and Postdoc
QCRI
The Arabic Language Technologies (ALT) research group at the Qatar Computing Research Institute (QCRI), HBKU is looking for talented scientist (permanent position) and postdoc candidates to join our team and conduct world-class research focused on large-scale computing challenges. We offer unique opportunities for a strong career spanning basic and applied research in language technologies.

Ongoing projects at ALT/QCRI cover the following areas:

- Fact-checking, stance, bias and propaganda detection
- Machine translation with focus on neural machine translation
- Arabic language processing including dialectal Arabic
- Speech processing, e.g., Arabic speech recognition, dialect detection, and text-to-speech

A Ph.D. in Computer Science from a top university is required. Candidates must have several years of experience in algorithm development in natural language processing, and should have good programming skills. Experience in deep learning and unsupervised techniques is expected. They must be able to work both independently and cooperatively with others and need to have good communication and writing skills.

There will be also an opportunity to work on a collaboration project with MIT-CSAIL.

We offer a highly competitive compensation package including an attractive tax-free salary and additional benefits such as furnished accommodation, excellent medical insurance, and generous annual paid leave, among others.

Interested candidates should send their CVs to qcri-alt-jobs@googlegroups.com


You can also contact any of the following ALT team members attending ACL:
Giovanni Da San Martino ; Nadir Durrani ; Ahmed Ali ; Hassan Sajjad ; Stephan Vogel

Link: http://alt.qcri.org/
Faculty and Postdoc Positions in ML/NLP
Monash University
There are multiple Faculty and Postdoc positions in Monash University, Melbourne, Australia. If interested, plz feel free to email your CV or contact me for more info: gholamreza.haffari@monash.edu

Best
Link: None
Machine Learning Engineer
Bosch
In addition to internships and PhD positions in our natural language processing and semantic reasoning research group, the Bosch Center for Artificial Intelligence has several open positions for machine learning engineers, e.g., in Renningen:
https://jobs.smartrecruiters.com/BoschGroup/743999689015443-applied-machine-learning-engineer
https://jobs.smartrecruiters.com/BoschGroup/743999691337926-backend-engineer-machine-learning

If interested, please get in touch via email or come to our booth.
Quantitative Researcher in NLP
G-Research
Imagine beating the efficient market hypothesis with the full big data toolset

G-Research is a leading quantitative research and technology company. By using the latest scientific techniques, we produce world-beating predictive research and build advanced technology to analyse the world’s data.
We use the latest scientific techniques and advanced data analysis methods to discover the undiscovered. Our researchers are free to explore ideas, finding patterns in large, noisy and real-world data sets to predict the movements in global financial markets.

The Role

You will join a team of quantitative researchers working on very large data sets, applying the latest techniques for entity recognition and sentiment extraction, with the goal of identifying features of real time text feeds that can we used to predict future behaviour of financial markets.

Who are we looking for?

The ideal candidate will be an expert in Natural Language Processing, through academic or industry experience (or both).

You will have experience applying machine learning and deep learning methods to a range of NLP-related tasks, such as Named Entity Recognition, Entity Linking, Sentiment Analysis and Text Classification.

Experience working with existing NLP and deep learning libraries (word embeddings, spaCy, CoreNLP, NLTK, PyTorch / TensorFlow / keras, etc.).

Familiarity with the many recent exciting advances in NLP (pre-trained Language models such as BERT, contextualised word embeddings such as ELMo, Attention and novel neural network architectures, etc.).

You will have an interest in applying mathematical and NLP concepts to real world financial problems, and implementing theoretical insights as working code.

Publications at leading NLP and ML conferences such as NIPS, ICML, EMNLP, ACL and COLING is highly desirable.
Link: https://www.gresearch.co.uk/jobs/quantitative-researcher-in-natural-language-processing-nlp/
Quantitative Researcher in NLP Summer Internship 2020
G-Research
Summer Internship 2020

Interested in an NLP internship in Quant Finance?

This is a paid 10 week internship from July to September 2020. Applications will open in September however do feel free to apply to our current opportunity and we will be in touch when the time comes!

The Role

You will join a team of quantitative researchers working on very large data sets, applying the latest techniques for entity recognition and sentiment extraction, with the goal of identifying features of real time text feeds that can we used to predict future behaviour of financial markets.

Who are we looking for?

The ideal candidate will be an expert in Natural Language Processing, through academic or industry experience (or both).
You will have experience applying machine learning and deep learning methods to a range of NLP-related tasks, such as Named Entity Recognition, Entity Linking, Sentiment Analysis and Text Classification.
Experience working with existing NLP and deep learning libraries (word embeddings, spaCy, CoreNLP, NLTK, PyTorch / TensorFlow / keras, etc.).
Familiarity with the many recent exciting advances in NLP (pre-trained Language models such as BERT, contextualised word embeddings such as ELMo, Attention and novel neural network architectures, etc.).
You will have an interest in applying mathematical and NLP concepts to real world financial problems, and implementing theoretical insights as working code.
You will have, or be working towards gaining, a Masters or PhD degree in a highly quantitative subject (mathematics, statistics, computer science, physics or engineering). PhDs in NLP or Computational Linguistics are especially desirable.
Publications at leading NLP and ML conferences such as NIPS, ICML, EMNLP, ACL and COLING is highly desirable.

Please note, no finance knowledge is required!
Link: https://www.gresearch.co.uk/jobs/quantitative-researcher-in-natural-language-processing-nlp/
Manager, ML & Data Science
Wayfair
Role:
I am looking for an experienced applied machine scientist & Data Scientist to join our team at Wayfair Berlin. Sample projects include Smart Response System (e.g. BERT etc) and Reinforcement Learning model for optimising Customer Service operation.

This is a technical managerial role so you will be leading a technical team and interfacing with the business. You will start with two scientist team but can grow to 4 in 2020 and many more in the future.

Company & Team
Wayfair is the biggest US e-commerce furniture company headquartered in Boston (with EU HQ in Berlin). Machine learning has been the driving force behind the phenomenal success and rapid growth of the company and it is applied in every aspect ranging from computer vision, recommendation, marketing and customer service.

Feel free to reach out to me as I am going to be at ACL all week. I would be happy to have a chat and talk more about the team & role.
Link: None
NLP Machine Learning Engineer
Apple
Apple's Natural Language Processing group is bridging software, machine learning, and linguistics to power the world’s best software keyboards and text input systems. Our team is responsible for a wide range of text input technologies, including auto-correction, spellchecking, predictive typing, Chinese & Japanese input, tokenization, tagging and other solutions that are at the intersection of machine learning and NLP. We are looking for a passionate and creative engineer to develop new models and algorithms for delivering high-quality text input experiences on all Apple platforms.
Link: https://jobs.apple.com/en-us/details/200055684/machine-learning-engineer?team=SFTWR
PhD / Research Fellow in speech translation and related areas
Charles University
About Us

We are a prime research institute at the School of Computer Science, Faculty of
Mathematics and Physics, Charles University, located in the historical center of
Prague. Building upon several decades of close collaboration with linguists but
devoted to the most advanced methods of deep learning, we are training the
computers to handle natural languages as if they were their mother tongues.

Research Focus of the ELITR Project

The PhD and/or research fellow position will be funded from the EU project
ELITR (European Live Translator, http://elitr.eu/) with the focus on any of the
following areas:

● Robust speech recognition, esp. handling non-native dialects and
adverse sound conditions;
● Real-time speech translation, esp. adaptation of our state-of-the-art
machine translation systems for incoherent and incomplete utterances,
delivering immediate translation;
● Document-level translation, focusing particularly on hard cases where
the document itself defines and uses its own terminology;
● Speech and dialogue summarization, aiming towards automatic creation
of minutes from meetings.

Requirements

● Finished Master study or expected to finish Master in the academic year
2019/2020, in computer science or linguistics (with an interest in computer
science)
● Demonstrable experience in research of AI and publication record
● Preferred knowledge: UNIX or C/C++ or Python; machine or deep learning
● Interest in applied science
● Communication skills and ability to work in team are welcome

Contact Us

We are looking for motivated PhD students or fellow researchers who want to
take part in international projects, led by the field’s top researchers. To apply,
please send your CV and a motivation letter to doc. RNDr. Ondřej Bojar, Ph.D.
(info@elitr.eu).
Link: elitr.eu
Cognition and Speech Scientist
Microsoft
Link to job description

https://careers.microsoft.com/us/en/job/653143/Full-Time-Opportunities-for-PhD-Students-or-Recent-Graduates-Cognition-and-Speech-Scientist
Link: https://careers.microsoft.com/us/en/job/653143/Full-Time-Opportunities-for-PhD-Students-or-Recent-Graduates-Cognition-and-Speech-Scientist
PhD position for dialogue systems in healthcare
Philips Research
Obtain your Doctoral degree by carrying out industrial research, enlarging relevant knowledge and bringing-in new knowledge regarding advanced machine learning algorithms combining both knowledge-driven and data driven approaches for conversational AI in healthcare applications.
Link: https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fphilips.wd3.myworkdayjobs.com%2Fjobs-and-careers%2Fjob%2FEindhoven%2FMarie-Curie-PhD-PHILHUMANS-ESR-2--Conversational-AI-for-automated-digital-health-counseling_302671-1&data=02%7C01%7C%7C23a9da0e974b4e6286a508d714bcdd49%7C1a407a2d76754d178692b3ac285306e4%7C0%7C0%7C637000673700967696&sdata=T1ADBsM%2BHiIm0BbrseuW3HDvSZ%2BQR2c7BLdff4axZzQ%3D&reserved=0
Applied Scientist - NLP & Multi-Modal Deep Learning
Microsoft (Bing Image & Video Search)
Are you interested in NLP and Multi-Modal Deep Learning? Microsoft's Bing Image and Video search team is looking for a talented Applied Scientist to help drive our next generation of search algorithms. Deep correspondence is the next wave in search technology. Given a user query (either text or image) how can we find relevant search results from a corpus of documents that encompass text descriptions, images/videos and user interaction signals. Multi-modal similarity is a cutting-edge topic that blends the latest research from Natural Language Processing, Image Understanding, and Information Retrieval.
 
Microsoft's Bing Image & video search team provides an exciting and dynamic environment. Here you will have the opportunity to develop and implement state of the art algorithms. The role is a hybrid of Research and Development where you will have the opportunity to see your ideas through from prototype to product and directly impact millions of users every day.
 
Candidates should have a strong background in one or more of the following fields: deep learning, natural language processing, machine learning, computer vision or information retrieval. Additionally applicants should have in-depth experience with one or more applications such as: neural machine translation, word and sentence embeddings, multi-lingual encoding, text summarization, image embedding, object and entity detection, search and data mining.

Please apply at the posted link or contact me directly at: markbo@microsoft.com.
Link: https://careers.microsoft.com/us/en/job/624569/Senior-Applied-Scientist
Applied Research Intern
PolyAI
About PolyAI

Machine learning is the lifeblood of virtual assistants. Today, only tech giants have the AI arsenal to build good voice-based apps. PolyAI is developing a machine learning platform to make building great conversational apps as simple as designing a website. PolyAI recently closed a large seed round with two leading UK-based Venture Capital Funds.

The Role

We are looking for an applied research intern to work together with our team of machine learning engineers on real-world problems of conversational AI. This is the perfect opportunity if you seek to:

-Gain experience in Machine Learning and Natural Language Processing applied to dialogue systems;
-Design, train, and evaluate your own machine learning models (deep neural networks, etc.);
-Submit your research for publication at a top-tier ML/NLP conference;
-Live and work in London.

Responsibilities and essential qualifications for this role:

-Experience with Machine Learning models, applications, experimental design, and/or qualitative/quantitative analysis;
-Experience with Python and/or other programming languages;
-Available and eligible to work full-time for 3-6 months in London, UK.

Desirable Qualifications:

-Experience with research for Natural Language Processing or related fields, e.g. Natural Language Understanding, Natural Language Generation, and/or Dialogue Systems;
-Publication(s) at relevant journals or conferences (e.g. NIPS, ICML, ACL, CVPR, etc).
Link: https://poly-ai.com/
Applied Research Intern
PolyAI
About PolyAI

Machine learning is the lifeblood of virtual assistants. Today, only tech giants have the AI arsenal to build good voice-based apps. PolyAI is developing a machine learning platform to make building great conversational apps as simple as designing a website. PolyAI recently closed a large seed round with two leading UK-based Venture Capital Funds.

The Role

We are looking for an applied research intern to work together with our team of machine learning engineers on real-world problems of conversational AI. This is the perfect opportunity if you seek to:

-Gain experience in Machine Learning and Natural Language Processing applied to dialogue systems;
-Design, train, and evaluate your own machine learning models (deep neural networks, etc.);
-Submit your research for publication at a top-tier ML/NLP conference;
-Live and work in Singapore.

Responsibilities and essential qualifications for this role:

-Experience with Machine Learning models, applications, experimental design, and/or qualitative/quantitative analysis;
-Experience with Python and/or other programming languages;
-Available and eligible to work full-time for 3-6 months in Singapore.

Desirable Qualifications:

-Experience with research for Natural Language Processing or related fields, e.g. Natural Language Understanding, Natural Language Generation, and/or Dialogue Systems;
-Publication(s) at relevant journals or conferences (e.g. NIPS, ICML, ACL, CVPR, etc).
Link: https://poly-ai.com/
Computational Linguist
Google
About the job

Understanding natural language is at the core of Google's technologies. Our team guides, builds, and innovates methodologies around semantic analysis and representation, syntactic parsing, morphology and lexicon development. It's our goal to use insights from computational linguistics, natural language processing, and related fields to constantly improve our products. Our work directly impacts the Assistant, Search, the Knowledge Graph, Google Translate, as well as other Google AI research efforts and other products throughout the company that utilize core Natural Language Processing (NLP) functionality.

As a Computational Linguist, you will collaborate with other linguists, software engineers, and research scientists to develop language models that improve our ability to understand and generate natural language. Many linguists focus on one or more languages in which they have special expertise, and propose directions and solutions both to language-specific and horizontal language-independent problems.

Responsibilities

Improve NLP model building workflows through design and implementation of scaleable automated systems that bring about increased accuracy, coverage, and fluency.

Develop various grammars for different languages and NLP task-oriented applications.

Develop, train, and/or evaluate NLP systems, identify errors/regressions and propose solutions.



Minimum qualifications:

Master's degree or PhD. in Linguistics, Computational Linguistics, or equivalent practical experience.

2 years of work or educational experience in Machine Learning and/or Natural Language Processing.

Ability to speak and write in English and other additional languages, fluently and idiomatically.

Preferred qualifications:

Demonstrated track record working with cross-functional teams and building relationships across internal teams.

Knowledge of phonology, syntax, semantics, discourse analysis, and/or corpus linguistics.
Post-doc position in Data Mining on French Mophology
LORIA Research Lab
Context: The goal of the Demonext project is to build a morphological Database for French where all the derivational properties of the words are extensively and systematically described. Demonext is built from several lexical resources and it intents to answer several objectives : a systemetic and fine-grained study of French morphology, the development of a tool and resources for NLP, a tool for teaching vocabulary or for treating langages pathologies…

 The Post-doc Position aims at proposing data mining tools to help linguists in their task of building and enriching the Demonext Lexical database. The Post-doc will develop tools based on pattern mining, association rule mining and formal concept analysis to extract dependencies between morphological features, identify wrong or missing values in the database, and to build meta-knowledge about morphological families. The post-doc will work at LORIA lab (Computer Science) in connection with the ATILF lab (Linguistics).

Skill : good skills in Computer Sciences (including programing),  knowledge in Natural Language Processing and/or in morphology would be appreciated, some knowledge in French could help but are not mandatory. Candidates should have a PhD.
Tenure Position in Computer Science
LinkĂśping University
Lecturer in computer science, mainly responsible for teaching in computer programming and one or more of the following areas: AI, ML, HCI.

For further information contact @Jalal Maleki
Link: www.ida.liu.se
Research Scientist / Engineer /Intern
Bytedance - Applied Machine Learning
Our team is working on applied research on one of the biggest and most complicated industrial datasets. We are looking for people interested in using NLP/CV, or in general DL, RL ideas to solve recommendation and advertisement problems. If you have any idea on these areas, you are welcomed! Please contact me!
Link: None
post doc in MT in United Nation agemcy WIPO
WIPO World Intellectual Property Organization
research fellow needed starting date 1st of February 2020, duration 2 years.
Join a R&D team in an organization working activelly in applied Neural MT (patent domain, conferences etc)
PhD in NLP & ML
King’s College London
Funding for a PhD student in NLP & ML at King’s College London, starting 2020. Areas of interest include but not limited to: deep learning, transfer learning, low-resource NLP, generation, dialogue.
Link: None
PhD in conversational AI for healthcare
Philips Research
Obtain your Doctoral degree by carrying out industrial research, enlarging relevant knowledge and bringing-in new knowledge regarding advanced machine learning algorithms combining both knowledge-driven and data driven approaches for conversational AI in healthcare applications.
Link: https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fphilips.wd3.myworkdayjobs.com%2Fjobs-and-careers%2Fjob%2FEindhoven%2FMarie-Curie-PhD-PHILHUMANS-ESR-2--Conversational-AI-for-automated-digital-health-counseling_302671-1&data=02%7C01%7C%7C23a9da0e974b4e6286a508d714bcdd49%7C1a407a2d76754d178692b3ac285306e4%7C0%7C0%7C637000673700967696&sdata=T1ADBsM%2BHiIm0BbrseuW3HDvSZ%2BQR2c7BLdff4axZzQ%3D&reserved=0
NLP Researcher (Machine Translation)
Lingua Custodia
https://nlppeople.com/job/lingua-custodia-montigny-le-bretonneux-france-full-time-natural-language-processing-researcher/
Research scientist and engineer in NLP
JD Digits
JD Digits AI Lab at Silicon Valley, is looking for research scientists and engineers with strong background in natural language processing, deep learning, machine learning and data mining. Our mission is to build intelligent AI engines that connect hundreds of millions of users to our products.
Responsibilities:
1) Conduct applied research and development in natural language processing, deep learning, and machine learning.
2) Research and evaluate state-of-the-art AI algorithms for natural language understanding, customer/sale chatbot, intelligent dialogue system, personal assistant.

Key Qualifications:
• Master (at least 2-year industrial experience) or Ph.D. in at least one of the following field (but not limited to):
o Natural language processing: text labeling and parsing, text mining, dependency paring, question answering and chatbot dialogue systems, entity extraction and reasoning, knowledge graph, etc.
o Machine learning/data mining: deep learning, large-scale optimization, information retrieval, etc.
• Strong analytical skills (probability, algebra, optimization, etc.).
• Ability to quickly prototype with practical algorithms and write high quality code in a programming
language (such as Python, Java, C++). Preferred Qualifications:
• Experiences in developing new algorithms with track record on top journals/conferences
• Experiences in integrating new techniques into the live production system
• Familiar with at least one of deep learning frameworks: Tensorflow, Pytorch, Caffe, Mxnet, etc.
• Experience with large-scale computing platform, e.g., Spark, Hadoop
• Finance/insurance industry experience is a plus but not required.
• Self-motivated and eager to learn new things.
• Team orientation: we work towards our goal as an agile team together.

If you are interested, please send your CV and questions to: chaochun.liu@jd.com.

Link: None
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