Postdoc
UCSB
UCSB NLP group is hiring a postdoctoral research scientist. Interested candidates should contact William Wang at william@cs.ucsb.edu with CV.
Link:
http://nlp.cs.ucsb.edu
Research Scientist - NLP
Thomson Reuters
The Research & Development department at Thomson Reuters is looking for a Research Scientist in their Minneapolis/St. Paul, MN & Toronto locations to perform applied AI research and take part in the design and development of world class Legal, Tax & Accounting, and News products. Our focus areas include recommendation and search, entity extraction, question answering, language understanding, large-scale analytics, social computing, and natural language generation.
We are looking for passionate Research Scientists who have applied experience in NLP. We are looking for creative individuals who can understand complex business problems, and who can develop scalable algorithms and prototypes to demonstrate the art of the possible. You will be part of an interdisciplinary team focusing on ensuring that the foundations of Thomson Reuters technologies are at or above the state-of-the-art. Our team has strong internal ties to product groups across TR as well as external ties to the research community.
As a Research Scientist, you will contribute directly to the algorithmic design, implementation and analysis of information-based products and services for professionals around the world. You will collaborate closely with other scientists, engineers, and business stakeholders to productionize your research into high-value business applications. At the same time, you will be able to maintain an active academic presence through research publications and conference attendance (i.e., NIPS, SIGIR, ACL, KDD, WSDM, AAAI, ICML, CIKM, etc.).
You have expertise in acquiring, processing, analyzing and modeling of information from massive amounts of textual and structured data. You should have experience with robust statistical NLP techniques for developing large scale. If you thrive on mastering new technical challenges and desire the opportunity to apply creative solutions to real-world problems, we want to hear from you!
Link:
http://jobs.thomsonreuters.com/ShowJob/Id/152120/Research-Scientist/
NLP/ML engineer
Cx MOMENTS
Cx MOMENTS is looking for an NLP/ML engineer to join the team in full-time capacity in Dublin, or working remotely.
Profile: at least 2 years experience working on NLP projects (ideally in a commercial environment), either supervised (classification) on unsupervised learning (clustering), ideally both.
Experience working with word vectors (i.e. word2vec, sent2vec), spacy, gensim, keras, tensorflow is preferred.
Link:
https://www.cxmoments.com/
Research Intern
Snap Research
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 +190M daily active users.
We also hire for Research Scientist/Engineer/Associate positions.
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://lnkd.in/gCkjJqP
Research Scientist (NLP, IR, Complex Networks, Recommender Systems)
Dataminr
Who we are:
We are Dataminr. We deliver real-time, actionable alerts that are derived from vast amounts of publicly available data. Our groundbreaking AI-enabled platform cuts through the noise in an increasingly complex landscape by detecting, classifying, and determining the significance of public information. Our culture promotes cross team interaction, work-life balance and the sharing of information and ideas because it enables us to do our best work and have fun. We've grown to over 450 talented employees across six global offices, attained unicorn status after our recent investment round, and been referred to as the “super tool of journalists and hedge funds."
We are a mission-driven company committed to the power of real-time information as a force for good in the world.
Who you are:
You’re a research scientist who has published in top tier conferences and are passionate about having a positive impact on the world. You are enthusiastic about working on some of the most challenging problems in AI and directly contributing to products while advancing the state of the art. You are very creative, can work independently, and are an excellent collaborator and communicator.
Responsibilities
Perform research to advance the state of the art and solve specific problems at scale in one or more of the following areas: NLP, Information Retrieval, Complex Networks, Recommender Systems.
Work closely with a diverse, interdisciplinary team to deliver value to customers (existing and new products).
Contribute to the research community via publications in top tier venues, participation in program committees, etc.
Excel in placing a human-centered focus on the work (context, end-user impact, etc), finding solutions that work in practice and have significant impact.
Senior candidates are expected to lead technical areas and/or people.
Link:
https://boards.greenhouse.io/dataminr/jobs/1593311
Machine Learning Engineer
InCloudCounsel
InCloudCounsel is seeking a Software Engineer to join the Machine Learning team of our rapidly growing company. We are changing the way corporate legal services are delivered through technological innovation and a unique service delivery platform.
You will work in a lean engineering team whose mission is to build ML-enabled tools for our users - we are bringing technological innovation to an industry traditionally weighed down by inefficiencies and skyrocketing costs. Your role will be to help people do their work faster and with increased accuracy while simultaneously driving down the cost of legal work. You will do this by building a platform for machine learning and collaborating with the product team to deliver functionality that creates value and freedom for our clients and attorneys. This position has a particular focus on data processing and infrastructure.
The role will report directly to our Director of Machine Learning and the package includes a competitive base salary, equity, and benefits. The company has offices in Los Angeles, San Francisco, New York, Seattle, and London; the preferred location for this role is Los Angeles.
This is a new team working with paradigm-shifting technology at its cutting edge. It is an opportunity to take the exciting new research of natural language processing, neural networks, and machine learning systems to deliver real value to an industry that has historically been behind in technology. We have an incredibly rare and valuable opportunity in front us with the drive and resources to transform the legal industry. We believe strongly in open-sourced software and open research.
There is a lot to do, and we are looking for resourceful engineers with the experience to pick up large projects and execute on them. As a founding member of the team, you will be shaping the future of machine learning at InCloudCounsel as well as the broader legal services industry.
Link:
https://www.incloudcounsel.com/work/?gh_jid=4248879002
AI Research Scientist
Bloomberg LP
News and social media move financial markets. Bloomberg is one of the largest producers of news in the world and we ingest millions of news stories every day from over 70,000 external news feeds and social media such as Twitter. This data keeps our clients informed, and our team's insights help make sense of it for our customers.
Who are we? Bloomberg's Artificial Intelligence (AI) group: researchers and engineers who have a passion for solving complex problems. Our charter: to extract and identify relevant, meaningful, tradable, and actionable information (such as pricings, earnings, recommendations and major events) from data (including news, web, social media, and structured data) in real-time. Since our customers rely on this information to make swift financial decisions, we guarantee precision, accuracy, and latency numbers beyond most academic and industry standards.
We aren't just building customer-facing products, as the infrastructure and algorithms we develop are themselves used across the company. We also publish papers, attend conferences, organize workshops, and contribute back to the larger data science community whenever we can (see https://www.techatbloomberg.com/nlp/ and https://bloomberg.com/company/d4gx/).
Who are you?
A research scientist and engineer who wants to work in the areas of machine learning, natural language processing, information extraction, reinforcement learning, graphical models, recommender systems, and/or knowledge graphs. You want to join a close-knit group and make a big impact.
Full job details: https://careers.bloomberg.com/job/detail/74022
In addition, do check out our blog, TechAtBloomberg.com/NLP, to learn more about our publications and projects in data science.
Link:
https://careers.bloomberg.com/job/detail/74022
AI Research Scientist
Bloomberg LP
News and social media move financial markets. Bloomberg is one of the largest producers of news in the world and we ingest millions of news stories every day from over 70,000 external news feeds and social media such as Twitter. This data keeps our clients informed, and our team's insights help make sense of it for our customers.
Who are we? Bloomberg's Artificial Intelligence (AI) group: researchers and engineers who have a passion for solving complex problems. Our charter: to extract and identify relevant, meaningful, tradable, and actionable information (such as pricings, earnings, recommendations and major events) from data (including news, web, social media, and structured data) in real-time. Since our customers rely on this information to make swift financial decisions, we guarantee precision, accuracy, and latency numbers beyond most academic and industry standards.
We aren't just building customer-facing products, as the infrastructure and algorithms we develop are themselves used across the company. We also publish papers, attend conferences, organize workshops, and contribute back to the larger data science community whenever we can (see https://www.techatbloomberg.com/nlp/ and https://bloomberg.com/company/d4gx/).
Who are you?
A research scientist and engineer who wants to work in the areas of machine learning, natural language processing, information extraction, reinforcement learning, graphical models, recommender systems, and/or knowledge graphs. You want to join a close-knit group and make a big impact.
Full job details: https://careers.bloomberg.com/job/detail/74154
In addition, do check out our blog, TechAtBloomberg.com/NLP, to learn more about our publications and projects in data science.
Link:
https://careers.bloomberg.com/job/detail/74154
ML Engineer
Sentropy Technologies
Online communities have changed how humans build relationships and interact, but digital anonymity has enabled toxic behavior across the web that threatens the stability of communities and user relationships. Human-led counter-measures provide contextual understanding, but expose ‘good’ users to toxic behavior and can’t scale to evaluate billions of interactions. Existing technical approaches, on the other hand, are unable to address the rapidly shifting vocabulary and linguistic variation used by determined, adaptive adversaries.
We’re a venture-backed startup based in Palo Alto creating cutting-edge machine learning to fight harassment, hate speech, and abuse in online communities. Our goal is ambitious: we want to make the internet safer. We’re building tools to help companies safeguard the foundations of their communities by identifying, tracking, and mitigating toxic behavior across billions of user interactions. Our team is led by a team of veterans from Microsoft, Apple, and Palantir that most recently led Lattice Data, a machine learning company acquired by Apple in 2017.
Link:
https://jobs.lever.co/sentropy/16753542-c7d9-4450-8264-861081f2eb75
Research Scientist - AI
Bloomberg LP
Each year, Bloomberg donates over 80% of our profit to charities, institutions, ans causes that are making the world a better place. Join our AI team to solve the most interesting ML and NLP challenges, and feel good about it!
Link:
careers.bloomberg.com/job/detail/74535
Associate Research Scientist, NLP
Educational Testing Service (ETS)
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.
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.
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.
Find more details here:
https://etscareers.pereless.com/index.cfm?fuseaction=83080.viewjobdetail&JID=287221&BUID=2538&cid=83080
Link:
https://etscareers.pereless.com/index.cfm?fuseaction=83080.viewjobdetail&JID=287221&BUID=2538&cid=83080
Data Scientist
Allianz Global Investors
Allianz Global Investors is seeking a Data Scientist specializing in NLP to support our Systematic team. Systematic team is an active quantitative equity portfolio management team.
This position will provide active engagement in experiencing the correlation between data science, especially deep learning and NLP, and real-world applications. If you are passionate about your NLP and deep learning knowledge and expertise coming to fruition in a tangible scope, this role is for you.
Role and Responsibilities:
• Analyzes financial text using NLP and deep learning techniques
• Implements and maintains production level systems to generate investment ideas
• Identifies and leverages new technologies to enhance analytical best practices
• Develops new features for production level systems
Required Qualifications:
• Master’s or PhD degree in Computer Science, Statistics or Physics
• 1-3 years related experience
• Strong statistical modelling and programming skills in Python
• Extremely detail-orientated with excellent analytical skills
Preferred Qualifications:
• Experience with natural language processing research
• Proficiency in SAS, HTML and SQL
• Extremely hard working and ambitious, with an attitude of continuous learning
• The ability to work well in a demanding, team-centric environment
Link:
None
AI Delivery Engineer
Clinc, Inc
AI Delivery Engineer
Who We Are
We started Clinc in 2015 with the mission to use the best advancements in academic research, science and technology to create a meaningful and tangible impact on the world. Since then, we have seen exponential growth delivering cutting-edge technology at global scale, and empowering people to lead more enjoyable lives with conversational AI. We are a passionate group of change-makers inspired by the world’s most difficult challenges and a gritty resolve to take them on. If you want to influence the future of AI and make our world a better place to live, join us.
About the Role
We are seeking a technical professional with a background in Software Engineering or in AI platforms, tools, crowdsourcing, and data curation. Work will be carried out in both our AI-building platform and a terminal when custom scripts using Python are necessary to manage data or apply cutting-edge features before they're fully available in the platform. This position requires interaction with customers and our AI research team to deliver state-of-the-art AI experiences to end-users.
What you should bring to the table
Bachelor’s Degree in Computer Science or related field or higher from an accredited university.
1-2 year minimum software engineering experience. Python expertise or familiarity is a plus.
Familiarity with AI and Natural Language Processing concepts.
A desire to interface directly with customers.
A teamwork-oriented approach to getting things done.
What you'll do if you join us
Develop, modify and maintain Python tools of varying complexity for customer-specific business rules to provide an AI-enabled end-to-end experience.
Create and maintain conversational AI experiences for customers using our AI-training platform.
Manage and validate data and AI models produced from crowdsourcing, contractors, and developers to build high-quality AI models.
Educate and manage customers and junior developers in training their AI.
Culture, Diversity and In
Software Engineer, Machine Learning
Clinc, Inc
Who We Are
We started Clinc in 2015 with the mission to use the best advancements in academic research, science and technology to create a meaningful and tangible impact on the world. Since then, we have seen exponential growth delivering cutting-edge technology at global scale, and empowering people to lead more enjoyable lives with conversational AI. We are a passionate group of change-makers inspired by the world’s most difficult challenges and a gritty resolve to take them on. If you want to influence the future of AI and make our world a better place to live, join us.
About the Role
We're looking for software engineers with a background in machine learning to add depth to our team at our Ann Arbor HQ!
What you'll do if you join us
Participate in cutting edge research in artificial intelligence and machine learning applications
Develop robust solutions for real world, large scale problems
Collect and curate data from crowdsourcing platforms
Conduct design and code reviews.
What you should bring to the table
BS degree in Computer Science, similar technical field of study or equivalent practical experience
Software development experience in one or more general purpose programming languages
Working proficiency and communication skills in verbal and written English
What will make you stand out from everyone else
Master's, Ph.D. degree, further education or experience in engineering, computer science or other technical related field
Experience with one or more general purpose programming languages including but not limited to: Python, Javascript
Experience with one or more machine learning frameworks including but not limited to: Tensorflow, Caffe2
Experience with one or more crowdsourcing platforms (e.g., MTurk)
Experience with one or more of the following: Natural Language Processing, text understanding, classification, pattern recognition, recommendation systems, targeting systems, ranking systems or similar
Researcher
Microsoft Research AI
Microsoft Research AI (MSR AI) seeks exceptional researchers in the areas of deep learning, reinforcement learning, artificial intelligence, and related fields. MSR AI is comprised of researchers, engineers, and postdocs who take a broad perspective on the next-generation of intelligent systems. We seek applicants from all areas of deep learning, reinforcement learning, machine learning, artificial intelligence, and related fields with a passion and demonstrated ability for independent research, including a strong publication record at top international research venues.
Examples of current projects and directions in deep learning include:
Multi-modal intelligence, fusing vision and language capabilities
Reinforcement learning, including applications to dialog systems, games, and operational control problems
Natural language processing with applications to language understand and language generation
Neuro-symbolic systems and reasoning
Neural program synthesis
Foundations of deep learning, algorithms and machine teaching
Responsibilities
As a researcher in Microsoft Research AI, you will have the opportunity to develop your research career as a member of a world-class research organization. We offer a vibrant environment for cutting-edge, multidisciplinary research, boththeoretical and applied, including access to diverse data sources, an open publication policy, and close links to top academic institutions around the world.
Qualifications
Successful candidates will have a PhD and a well-established research track record as demonstrated by publications and open source software.
Additionally, scientific leadership as demonstrated by participation on program committees is desirable.
You are encouraged to define your own research agenda, while also collaborating with members of the lab.
You may also get the chance to see your ideas realized in products and services that will be used worldwide.
Research SDE
Microsoft Research AI
We are a small, agile team of field-leading researchers and developers in the Deep Learning Group at Microsoft Research AI working on the next generation of dialog and conversational technologies. We are developing a platform that enables developers to deploy AI-first conversational systems ("bots"), without any prior training in machine learning. We take a hybrid product/research approach: we put cutting-edge research at the heart of our product, and the data resulting from usage of the product fuels our research. We have deep relationships with multiple product groups, and partner closely to ship. Within Microsoft, our team helps shape company strategy for dialog and conversation. As one of the team making up MSR AI, we are also deeply engaged in the world-wide research community, where we regularly publish papers, give talks, and organize workshops and challenge tasks at venues like NIPS, ACL, SIGDIAL, and others.
Responsibilities
You will work closely with our partner product/research teams across Microsoft to provide the next generation of tools to build conversational applications. You’ll also have opportunities to get to know our customers and get in a tight feedback loop to know we’re meeting their needs. Our team culture promotes creativity and innovation and we want your unique ideas. We use engineering best practices and ship rapidly so can quickly address customer needs with excellent experiences. We are a small, high-experience team and are looking for a partner who has experience with ML/NLP and solid coding skills, and can operate at all levels of detail, spanning strategic thinking to digging into details and getting things done.
Qualifications
Required Qualifications
BS in computer science or 6 years professional experience in the technology industry
4+ years of software and/or services development and product delivery experience
3+ years of experience developing web and/or client applications
Machine learning / NLP Applied Scientist
Apple
Machine Learning has already made a deep impact in Apple’s front-line products, such as Siri. Machine learning engineer at Siri's Natural Language team are taking this a step further by redefining artificial intelligence, and creating groundbreaking technology for natural language understanding, machine learning, and conversational AI systems. Come join the Siri’s Natural Language team, and work with the people who created the intelligent assistant that helps millions of people get things done — just by asking.
Link:
http://linkedin.com/in/lin-li-89241020
postdoc position in NLP/ML
monash university
There is a postdoc openning in my team at monash university, melbourne, australia.
The topics include (but are not limited to) effective training methods for deep neural nets to learn from less human supervision, eg few shot learning, learning to learn, reinforcement/imitation learning, semi-supervised learning, domain adaptation, transfer learning, etc. if interested, plz feel free to touch base at naacl.
The salary is 85k+, a thriving environment with 40 faculty members working on AI/ML
Senior Applied Scientist
Amazon
How would you like to take one of the world's best customer service organizations to the next level? We are looking for a high-octane thinker to join our world-wide (WW) Customer Service Quality team to build the next generation of intelligent customer service technology at Amazon. We love data and we have lots of it. We use big data and advanced statistical tools to understand customer needs, to anticipate customer behaviors, and to solve customer problems.
You will work with a strategic team that balances research with business applications; you will explore the frontier of Machine Learning techniques and take what you have found to solve real-world problems. You will take Amazon Customer Service where no other Customer Service Org has gone before. You will work closely with other ML scientists, engineering, and business teams to lead the end-to-end process of identifying the problem, implementing the solution and scientifically measuring the impact on the company’s bottom line and the customer experience. You will leverage structured and unstructured data (customer comments, customer clickstreams, customer segmentation, contact transcripts) to understand customer journey and to get a richer set of customer experience indicator right out of the machines without relying on the customer survey responses. In addition to measuring the customer satisfaction, you will also get real-time trends of the customer interaction measures of the overall contact experience (the language used, soft skills, etc.) and customers’ satisfaction with our associates and policies.If you love big data, if you are innovative, if you can develop creative solutions, if you can connect dots, if you believe there is no limit on how data can improve the way we serve customers, if you want to see your work in Machine Learning have an immediate and measurable impact on customers, then this is the team for you.
Link:
https://www.amazon.jobs/en/jobs/701766/sr-applied-scientist
Applied Scientist
Amazon
Do you want to join an innovative team of scientists who use machine learning, NLP and statistical techniques to provide the best customer experience on the earth? Do you want to change the way that people work with customer service? Our team wants to lead the technical innovations in these spaces and set the bar for every other company that exists. We love data, and we have lots of it. We're looking for machine learning scientists to develop cutting edge machine learning, NLP and statistical solutions.
If you like to own end-to-end business problems and metrics which would have a direct impact on the bottom line of our business while improving customer experience, if you see how big data and cutting-edge technology can be used to improve customer experience, if you love to innovate, if you love to discover knowledge from big structured and unstructured data and if you deliver results, then we want you to be in our team.
Link:
https://www.amazon.jobs/en/jobs/725991/applied-scientist
Applied Scientist
Amazon
Do you want to join an innovative team of scientists who use machine learning, NLP and statistical techniques to provide the best customer experience on the earth? Do you want to change the way that people work with customer service? Our team wants to lead the technical innovations in these spaces and set the bar for every other company that exists. We love data, and we have lots of it. We're looking for machine learning scientists to develop cutting edge machine learning, NLP and statistical solutions.
If you like to own end-to-end business problems and metrics which would have a direct impact on the bottom line of our business while improving customer experience, if you see how big data and cutting-edge technology can be used to improve customer experience, if you love to innovate, if you love to discover knowledge from big structured and unstructured data and if you deliver results, then we want you to be in our team.
Major responsibilities
· Use statistics, NLP and machine learning techniques to create scalable solutions for business problems
· Analyze and extract relevant information from large amounts of both structured and unstructured data to help automate and optimize key processes
· Design, experiment and evaluate highly innovative models for predictive learning
· Work closely with software engineering teams to drive real-time model experiments, implementations and new feature creations
· Work closely with business staff to optimize various business operations
· Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation
· Track general business activity and provide clear, compelling management reporting on a regular basis
· Research and implement novel machine learning and statistical approaches
Link:
https://www.amazon.jobs/en/jobs/716911/applied-scientist
Machine Learning Scientist
Amazon.com
Do you want to join an innovative team of scientists who use machine learning, NLP and statistical techniques to provide the best customer experience on the earth? Do you want to change the way that people work with customer service? Our team wants to lead the technical innovations in these spaces and set the bar for every other company that exists. We love data, and we have lots of it. We're looking for machine learning scientists to develop cutting edge machine learning, NLP and statistical solutions.
If you like to own end-to-end business problems and metrics which would have a direct impact on the bottom line of our business while improving customer experience, if you see how big data and cutting-edge technology can be used to improve customer experience, if you love to innovate, if you love to discover knowledge from big structured and unstructured data and if you deliver results, then we want you to be in our team.
Major responsibilities
· Use statistics, NLP and machine learning techniques to create scalable solutions for business problems
· Analyze and extract relevant information from large amounts of both structured and unstructured data to help automate and optimize key processes
· Design, experiment and evaluate highly innovative models for predictive learning
· Work closely with software engineering teams to drive real-time model experiments, implementations and new feature creations
· Work closely with business staff to optimize various business operations
· Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation
· Track general business activity and provide clear, compelling management reporting on a regular basis
· Research and implement novel machine learning and statistical approaches
Link:
https://www.amazon.jobs/en/jobs/716911/applied-scientist
Senior Applied Scientist, Natural Language Processing
Amazon Lab126
Amazon is looking for a passionate, talented, and inventive Senior Scientist with a strong machine learning background to help build industry-leading Natural Language Understanding (NLU) solutions. Our mission is to push the envelope in NLU and Entity Resolution (ER) technologies to provide the best possible experience for our customers. Products such as Amazon Echo, Echo Show, and Fire TV are illustrative of the user-delighting spoken language solutions Amazon is building.
As a Senior Applied Scientist on our team, you will collaborate with other scientists and software engineers to research and develop novel algorithms and modeling techniques to advance the state of the art in NLU and ER. Your work will directly impact our customers in the form of products and services that make use of speech and language technology. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances in natural language understanding.
Position Responsibilities:
· Participate in the design, development, evaluation, deployment of data-driven machine-learned (ML) models targeting NLU and ER applications.
· Develop and apply statistical modeling techniques (e.g. Bayesian models and deep neural networks), optimization methods, and other ML techniques to different applications in business and engineering.
· Routinely build and deploy ML models on available data.
· Research and implement novel ML and statistical approaches to add value to the business. Mentor engineers and scientists.
Link:
https://www.amazon.jobs/en/jobs/766078/senior-applied-scientist-natural-language-processing
Applied Scientist, Natural Language Processing
Amazon Lab126
Amazon is looking for a passionate, talented, and inventive Scientist with a strong machine learning background to help build industry-leading Natural Language Understanding (NLU) solutions. Our mission is to push the envelope in NLU and Entity Resolution (ER) technologies to provide the best possible experience for our customers. Products such as Amazon Echo, Echo Show, and Fire TV are illustrative of the user-delighting spoken language solutions Amazon is building.
As a Scientist on our team, you will collaborate with other Scientists and Software Engineers to research, develop, and deploy NLU and ER models at Alexa scale. Your work will directly impact our customers in the form of products and services that make use of speech and language technology. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances in Natural Language Understanding.
Link:
https://www.amazon.jobs/en/jobs/797409/applied-scientist-natural-language-processing
Postdoctoral Position Available in Natural Language Processing and Human-Robot Interaction, Army Research Lab
US Army Research Lab
The US Army Research Laboratory (ARL) is welcoming applications for a one-year renewable (up to 3 years) postdoctoral position at the intersection of natural language processing (NLP) and human-robot interaction (HRI), focusing on dialogue with robots. The successful candidate will contribute to the research and development of the project, “Learning about the Physical World Autonomously through Information-Theoretic Dialogue”, funded by the Office of the Secretary of Defense's Laboratory University Collaboration Initiative (LUCI) Fellowship. The goal of the project is to investigate techniques for robots to learn, from natural language dialogue, about objects and actions in the physical world.
In support of this effort, ARL is looking for an individual with a PhD or equivalent experience, with interest and a background in human-robot interaction, natural language processing, symbol grounding, and/or dialogue systems. We plan to develop an approach to detecting uncertainty about objects and actions using multiple modalities (e.g., language and vision), so that robots can initiate natural language questions that humans can answer that maximize the agent's information gain in a situation.
The project is supervised by Dr. Matthew Marge (ARL), with co-PI Dr. Gordon Briggs (NRL), and faculty collaborator Prof. Matthias Scheutz (Tufts University). The successful candidate will collaborate with the PIs on designing human-robot interaction experiments and developing techniques to support human-robot dialogue systems.
The position is available immediately with a duty station at the Adelphi Laboratory Center (ALC), Adelphi, MD (Washington, D.C. metro area), with extended travel (~8 weeks per year) to Boston, MA to visit the Human-Robot Interaction Lab at Tufts University and periodic travel to the Laboratory for Autonomous Systems Research at the Naval Research Laboratory, Washington, D.C.
Link:
https://aclweb.org/aclwiki/Employment_opportunities,_postdoctoral_positions,_summer_jobs#Postdoctoral_Position_Available_in_Natural_Language_Processing_and_Human-Robot_Interaction.2C_Army_Research_Lab
Research Scientist - 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 and Software Engineer Intern
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/
NLP / neural net language modeling
Kloa
Full-, part-time and summer opportunities in language modeling with Univ of Washington tech startup. Developing a deep learning language model for a novel mobile input and messaging app. Previous experience with text generation and neural net LMs that use deep learning is of high interest. Alternatively experience implementing trained models on mobile using CoreML for iOS also needed. Visit the Kloa booth in the Hyatt Exhibition Hall for more info.
Link:
LinkedIn.com/company/Kloa/
postdoc position on knowledge graphs
monash university
hi. i have a postdoc opening in my team on knowledge graphs, where topics include (but are not limited to) Markov logic networks, information extraction, reasoning, deep reinforcement learning, etc.
salary will be 85k+, thtiving environment with 40 profs working on AI/ML
I am at naacl, plz feel free to get in touch.
Multiple positions available at IBM Research
IBM
Several summer, postdoc and full-time openings available at the Scalable Knowledge Intelligence group (https://researcher.watson.ibm.com/researcher/view_group.php?id=9820). We are looking for candidates with strong interest and publication record in NLP/ML/KDD. Please connect with me to find out more.
Link:
None
NLP Scientist
Babylon Health
At Babylon we are working towards making healthcare affordable and accessible for every human being on Earth. It is an ambitious mission that will require us to solve many challenges on multiple forntiers.
Our research team is currently working in various fields such as Intent Recognition, Information Extraction, Automatic Speech Recognition, Graph Convolutional Networks and Probabilistic Graphical Models.
We are interested in developing text representation models for classification with no or little labelled data; more adequate similarity metrics for embedded text (see our poster on Monday afternoon); developing flexible conversational agents that are able to handle free text inputs while maintaining transperancy; language models applied to speech recognition as well as other generative models applied to tasks such as disease prediction.
We are also interested in further exploring word sense disambiguation in the context of medical concept linking and general named entity recognition. Another topic of interest is text summarisation for narratives as well as conversations.
We are looking for NLP scientists to join our team based in London.
Link:
https://jobs.lever.co/babylonhealth/9818dd85-cf22-46b9-a194-21794ba2667f
Scientist and Postdoc Research Opportunities at QCRI
Qatar Computing Research Institute, HBKU
Scientist and Postdoc Research Opportunities at QCRI
https://drive.google.com/file/d/17MetEQDGsf9JJF5cVPoRqLYBOK5NI7RB/view
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:
1. Fact-checking, stance, bias and propaganda detection
2. Machine translation with focus on neural machine translation
3. Arabic language processing including dialectal Arabic
4. Speech processing, e.g., Arabic speech recognition, dialect detection, etc.
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. They must be able to work both independently and cooperatively with others, and need to have good communication and writing skills. Previous experience with deep learning and unsupervised techniques is a plus.
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 Preslav Nakov (pnakov@hbku.edu.qa), who is attending NAACL-2019.
Link:
https://drive.google.com/file/d/17MetEQDGsf9JJF5cVPoRqLYBOK5NI7RB/view
ML Engineer (Knowledge Graph)
Apple
The Knowledge Graph team is looking for outstanding engineers to build the next-generation of knowledge graph and data infrastructure at Apple to power features including Siri and Spotlight. If you are interested in building a world-class knowledge graph that powers Apple's amazing range of products, this is the place to be.
The Siri Knowledge Graph team is creating groundbreaking technology in the areas of question answering, knowledge base construction and machine learning. We aim to be a “know-it-all” question answering system, capable of answering questions from hundreds of millions of users about nearly anything. The question answering system is backed by a knowledge graph that was automatically constructed from a vast number of data sources including natural language text, HTML tables, and many others. You will have exciting opportunities to develop novel techniques to rapidly build a more complete and accurate knowledge graph with impact across all of Apple. This knowledge graph not only powers question answering in Siri but also many other features across Apple.
The problems we tackle include
- Information Extraction from natural language text and semi-structured data such as HTML tables
- Data Integration (e.g., Entity Resolution and Knowledge Fusion)
- Knowledge graph reasoning and inference
- Named Entity Linking
- Crowdsourcing
Excited about shipping products used by hundreds of millions of customers? Applying cutting-edge technologies to create services that just work? If so, this might just be the place for you. Come work in an environment that will challenge you to push your limits, and train you to succeed as part of a team. Candidates must be willing to take on demanding projects in the areas of knowledge base construction, information extraction, and data integration. Key to success will be the ability to deliver results, a passion for perfection, and a willingness to keep learning and improving oneself.
Data Scientist (NLP)
Pluralsight
This is a senior position with focus on NLP.
Link:
https://jobs.smartrecruiters.com/Pluralsight/743999687859563
Research Scientist, Research Intern
BBN (Raytheon BBN Technologies)
BBN (Raytheon BBN Technologies) has several exciting opportunities available for the right candidates. Come work with a team of experienced staff on a variety of technologies, including speech recognition, machine translation, information extraction, machine learning, natural language processing. You are encouraged to publish research findings in leading academic venues.
If you're interested, please apply through the links below. Bonan Min (bonan.min@raytheon.com) is available to chat at NAACL.
BBN also have multiple internship/co-op job openings in NLP. Please email your CV to Bonan Min (bonan.min@raytheon.com).
Apply here:
Scientist, Staff Scientist, Associate Scientist
https://bbn-e.github.io/jobs/
Link:
https://bbn-e.github.io/jobs/
Senior Research Engineer (Machine Translation)
Microsoft
Multiple positions open in the Microsoft Translator team!
Link:
https://careers.microsoft.com/us/en/job/625278/Sr-Research-SDE
Principal Researcher (Machine Translation)
Microsoft
Research position in the Microsoft Translator team
Link:
https://careers.microsoft.com/us/en/job/623471/Principal-Researcher
ML Engineer at Village Tech (understanding babies' language)
Village Tech
Village is looking for a Machine Learning Engineer to help build and scale its AI-powered mobile app. At Village you'll use your expertise in deep learning to classify audio & speech data from adults and infants. Your work will have a direct impact on the life of millions of families and help parents identify developmental risks early on.
The ideal candidate will have a background in ML and is familiar with problems that deal with unstructured data.
REQUIREMENTS
* Master’s degree in computer science, mathematics, engineering or related fields
* At least 2 years of industry experience building and deploying commercial and scalable ML models using deep learning frameworks (i.e. Tenserflow)
* Experience applying both supervised and unsupervised methods to real world datasets.
* Solid Programming Skills: You're comfortable doing ML programming (Python) as well as other programming tools
* Exceptional communication skills. You can build strong collaborative relationships and work closely with teammates that are non-technical
* Can do attitude: Ability to learn and solve problems with limited resources and guidance
Compensation
$70k – $90k
0.1% – 1.0%
Link:
https://angel.co/company/village-technologies/jobs/558129-machine-learning-engineer?utm_campaign=talent&utm_content=promote_jobs_box-listing-startup_profile&utm_medium=al_tweet&utm_source=twitter&utm_term=village-technologies
Senior R&D Software Engineer - Roku Voice
Roku
Roku pioneered streaming to the TV. We connect users to the streaming content they love, enable content publishers to build and monetize large audiences, and provide advertisers with unique capabilities to engage consumers. Roku streaming players and Roku TV™ models are available around the world through direct retail sales and licensing arrangements with TV brands and pay TV operators.
Roku is now working on improving the artificial intelligence capabilities of its existing voice service. The Roku Voice team is looking for ambitious research scientists or engineers with a background in one or more of the following areas: natural language understanding, machine learning, natural language question answering, content personalization, knowledge graphs, multi-modal dialog, and conversational systems.
Link:
https://www.roku.com/jobs/position/1629475/senior-randd-software-engineer-roku-voice?loc=Los%20Gatos%2C%20California
Data scientist
Anthem
Responsible for the development and implementation of machine learning algorithms and techniques to solve business problems and optimize member experiences.
Anthem, Inc. is ranked as one of America’s Most Admired Companies among health insurers and fortune 50 company of us.
Manager, Machine Learning
Amazon
Do you want to join an innovative team of scientists who use machine learning, NLP and statistical techniques to provide the best customer experience on the earth? Do you want to change the way that people work with customer service? Our team wants to lead the technical innovations in these spaces and set the bar for every other company that exists. We love data, and we have lots of it. We're looking for a leader to lead a team of machine learning scientists to develop cutting edge machine learning, NLP and statistical solutions.
If you like to own end-to-end business problems and metrics which would have a direct impact on the bottom line of our business while improving customer experience, if you see how data and technology can be used to improve customer experience, if you love to innovate, if you love to discover knowledge from big structured and unstructured data and if you deliver results, then we want you to be in our team.
Preferred qualifications -
- A PhD in CS Machine Learning/NLP, Statistics, Operational Research or in a highly quantitative field
- 1+ years of experience of managing a team
- 5+ years of industry experience in predictive modeling and large data analysis
Link:
https://youtu.be/QwC0iR6FhZs
Research Scientist
Bosch Research, Robert Bosch LLC
NLP research scientist (senior and principal level positions also available).
Link:
https://jobs.smartrecruiters.com/BoschGroup/743999688142962-research-scientist-natural-language-processing-senior-and-principal-level-positions-also-available-
Postdoc@uclanlp
UCLA
I’m looking for a postdoc In the area of fairness and robustness in NLP. PM me if you’re interested.
Link:
Http://kwchang.net
Research Intern（NLP）
Alibaba Group
岗位要求:
1、 计算机或相关专业在校学生，有过自然语言处理、机器学习、深度学习、项目经验，了解NLP的相关概念和技术
2、有在领域内的顶级会议或期刊发表论文的经历
3、扎实的工程实现能力，熟练使用python或c++，熟练使用常用的深度学习框架(tensorflow, pytorch等)
4、对技术研究充满热情、责任心强、敢于承担，团队合作、沟通能力佳
Link:
https://damo.alibaba.com/labs/language-technology
Manager, Machine Learning
Facebook
Core Machine Learning: We have our Machine Learning-oriented Product Development teams. These teams do machine learning research and software engineering as part of new product and feature development efforts. The largest such teams work on Ads Ranking, Feed Ranking, and Search Ranking, but there are other teams applying machine learning to a wide array of products and features such as Marketplace, Messenger, Videos, Site Integrity, Instagram, Internal Systems, and many more. In fact, it's hard to find a new feature or product development effort these days that isn't leveraging Machine Learning in a significant way.
AML: Our Applied Machine Learning organization. This org tends to be more focused on specific machine learning subdomains such as Deep Learning, Computer Vision, Natural Language Processing, Augmented Reality, and Core ML and AI Platforms. Our AML teams build the platforms, algorithms, models, and expertise that can be leveraged by machine learning software engineers in our product development teams. The people on these teams also balance their time between research and software development.
AI Infra Platforms: General EM with ML & Distributed Systems. We are building an AI Platform for AML and require understanding and be able to work cross function with Product ML Teams who are the consumers and AML teams. AI Infra will be a tensor flow type of platform for product teams and AML to use. Building Platforms for Ads Personalization as the first primary platform.
HPC Super Computing Platform required to create a Deep Learning Platform for AI Infra. This team will sit between AML teams and Infrastructure teams. Require skills in CUDA programming, GPU, HPC skills to build this deep learning platform. Building primarily NLP, Video Streaming for Computer Vision.
FAIR: Facebook AI Research group. Unlike the first two organizations, FAIR Research Scientists are evaluated by the papers that they publish in top conferences. They are contributing to the cutting
Link:
None
Machine Learning Research Scientist
CS Disco
Always looking for talented Machine Learners with Deep Learning experience. We are a legal tech company building best in class deep learning based tools for the legal space.
Link:
None
Quantitative Researcher in Machine Learning
Two Sigma
As a Quantitative Machine Learning Researcher, you will use a rigorous scientific method to develop sophisticated trading models, apply machine learning to vast often esoteric datasets, and partner with engineers to test complex investment hypotheses.
PREFERRED QUALIFICATIONS
Bachelor’s, Master’s, or PhD degree in a technical or quantitative field
Have applied machine learning to real-world datasets
Intermediate programming skills in Java, C++, or Python
Have published work in journals and/or have presented at conferences
Link:
https://www.twosigma.com/naacl/
Researcher in Deep Learning
Two Sigma
The Deep Learning team splits its time between fundamental research in Deep Learning (both algorithmic and systems) and its applications to Finance. As part of this team you’ll remain connected to the broader research community by partnering with external collaborators and publishing papers.
PREFERRED QUALIFICATIONS
Master’s or PhD degree in Computer Science
Expertise in machine learning with a focus on Deep Learning
Intermediate programming skills in Java, C++, or Python
Strong publication record or Open Source contributions in Deep Learning or related areas
Experience working on practical applications using real-world datasets
Link:
https://www.twosigma.com/naacl/
Data Scientist in Investment Research
Two Sigma
As machine learning and data-driven business intelligence have permeated industries, an abundance of new datasets and techniques have created opportunities for granular measurement of varied aspects of our economy. You’ll further scale our long-standing efforts to leverage these advancements to measure and predict the world’s financial outcomes.
PREFERRED QUALIFICATIONS
Have applied data analysis & prediction, preferably in an industry setting
Demonstrably strong data science modeling intuition and feature engineering creativity
Intimate familiarity with the potential flaws & fallacies in the applications of specific statistical methods
Have a portfolio of open-data analyses or data-driven research publications
Link:
https://www.twosigma.com/naacl/
Entry-level or Experienced Data Scientist (ML and NLP)
Nationwide
Nationwide is one of the largest insurance and financial services companies in the world, focusing on domestic property and casualty insurance, life insurance and retirement savings, asset management, and strategic investments. We have 34,000 employees, are ranked #66 in the 2018 Fortune 500 list, and ranked #53 in Fortune's "100 Best Companies to Work For".
We are constantly growing our team of 40+ Data Scientists who automate processes and decision-making within the enterprise by deploying statistical and machine learning predictive models, including natural language processing and computational linguistics methods.
We have openings at all levels, from recent graduates to experienced practitioners to people leaders.
Browse jobs and apply at
https://www.nationwide.com/about-us/careers.jsp
and/or send me your resume at
bergec2@nationwide.com
Link:
https://www.nationwide.com/about-us/careers.jsp
AI scientist, AI engineer, AI internship
Grab
Grab’s AI Accelerator team enables new features and products for Grab with innovations in AI. We develop and apply deep learning and machine learning to our huge datasets and wide-ranging applications. We foster a culture where we enjoy raising the bar constantly for ourselves and others, and that strongly supports the freedom to explore and innovate. We are looking for impact in the short term as well as long term.
AI Engineer
· Work on problems that run the gamut from building Machine Learning / Deep Learning
models to developing full-scale production systems.
· Own end-to-end implementation, system building and customer delivery of AI features
· Take on responsibility for high quality design and coding of large scale distributed systems
· Train and Predict on Grab’s unique large-scale data sets, leveraging Grab’s unique position as South-East Asia’s most popular Super App
· Build, deploy, maintain and optimize machine learning-based solutions, including computer vision and search-related applications
· Analyze data and define metrics for feature evaluation and model performance.
· Design and implement robust data pipelines.
· Identify and build new approaches and methods for machine learning as we grow.
AI Scientist
· Develop and apply algorithms for computer vision, natural language processing, speech recognition and machine learning to solve business problems
· Own end-to-end implementation, system building and customer delivery of AI features
· Integrate, simulate and test impact of algorithms and features on the overall system
· Design and build machine learning and optimisation algorithms efficiently
· Develop and execute analyses, simulations or A/B tests to validate models and identify improvement opportunities
· Store, retrieve and visualise results in a manner that facilitates required analyses
· Design and build data ingestion and featurization
· Drive product improvements and roll-out of new features
Also have positions for internship.
Link:
None
NLP/speech research scientist/engineer
LAIX/liulishuo
We are looking for full time research scientists or engineers with background in speech recognition or NLP.
LAIX/liulishuo is a AI+education company. We are developing language learning products powered by speech and NLP technology. Our app has more than 100 million registered users.
We are also hiring in Shanghai.
Link:
None
Research Scientist
Priberam
We are currently expanding Priberam Labs, and are looking for highly motivated candidates to work in exciting projects related to Machine Learning and Natural Language Processing. We offer a stimulating research environment, with connections to the international ML and NLP state-of-the-art research scene. As a Research Scientist at Priberam Labs, you will apply your skills to develop new algorithms and solutions backed by strong experimental design.
The key responsibilities will be:
Researching innovative and scalable machine learning techniques for NLP and text mining;
Writing prototype code and interacting with the product development team;
Integrating ML algorithms into the global NLP system;
Writing scientific papers, presenting our work at scientific conferences and occasionally working with student interns.
The ideal candidate should have the following skills:
MSc or PhD degree in Computer Science, Computational Linguistics, Electrical Engineering, or other related field;
Knowledge of Natural Language Processing and Machine Learning;
Experience in developing, analyzing, and implementing algorithms;
Excellent programming skills (preferably in C++ and Python);
(optional) a track record of publication in international conferences or journals.
Experience in Big Data technologies, entity linking, sentiment analysis, or health care analytics will be considered a plus.
Link:
https://www.priberam.com/careers/
NLP, Speech, ML scientists - various levels and locations
Capital One
Capital One is changing banking for good. Join us to help change the life of our customers and solve challenging ML, NLP and speech problems.
https://www.capitalonecareers.com/job/mclean/machine-learning-scientist-nlp/1732/11494284
https://www.capitalonecareers.com/job/mclean/machine-learning-scientist-nlp-sr-manager/1732/11676981
Link:
None
NLP Research Scientist
Ada
Ada offers a chatbot service to help automate responses to customer service inquiries. All of our ML work is NLP-related and we work on NLU, Entity Recognition/Extraction, Topic Modelling, Text Generation, and more.
We have a really fun company (100 people and growing) and a strong customer based (including AirAsia, AT&T, Coinbase, Medium).
I currently lead the ML team at Ada, if you’re at all interested in us, I’d love to chat!
https://ada.support
Link:
https://boards.greenhouse.io/ada/jobs/4034742002
Sr NLP Data Scientist
Capital Group
Our main NLP focus areas include (1) search & complex answer retrieval, (2) news relevancy & recommendation, (3) conversational AI application dev.
Degree in Computer Science, Mathematics, Cognitive Science, Neuroscience, Computational Linguistics, Operations Research, or related field. Master’s degree is required and PhD degree is preferred.
4+ years of relevant experience with a proven track record of leveraging analytics and large amounts of data to drive significant business impact.
Passion for learning and innovating new methodologies in the intersection of applied math, computer science, and statistics. Proficiency in translating business problems into concrete mathematical framework. Strong problem solving skills.
Expertise in machine learning, deep learning, natural language processing, and data mining algorithms. Must have knowledge/experience in all of the following: relational databases, linear and logistic regression, support vector machines, tree methods, ensemble methods, regularization, model selection, common clustering algorithms, common optimization algorithms, deep learning frameworks and methods for natural language processing and computer vision. Experience with recommender systems is a plus.
Link:
https://jobs.capitalgroup.com/job/Irvine-NLP-Senior-Data-Scientist-CA-92618/483168300/?locale=en_US
Research Scientist / Engineer – JD (JingDong) Digits AI Lab
JD Digits AI Lab
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
Machine learning scientist
Amazon
We are a team of nlp scientists responsible for building chat bots that can either talk to our customers to solve their problems or assisting agents while they are talking to customers in multiple languages. We are hiring! Message me if you are interested for a chat. Also you can send your resume directly to my email address
Keywords:
Goal oriented dialogue
Natural language understanding
Machine translation
Dialogue generation
PhD positions at University of Gothenburg, Sweden
University of Gothenburg
4-year salaried Ph.D. studentships available at the Center for Linguistic Theory and Studies in Probability (CLASP) at the University of Gothenburg, Sweden. All areas of NLP, computational and formal semantics, dialogue and interaction, psycholinguistics, etc eligible. Thesis topic is chosen by student in consultation with supervisors from within anything reasonably considered computational linguistics.
Should have completed relevant master's degree at time of application. Please see job ad link for full details and conditions. Contact me if you want to talk about it during the conference.
Link:
https://clasp.gu.se/recruitment/phd-positions-2019
PRINCIPAL INVENTIVE SCIENTIST - DIALOG
Interactions
Essential Job Functions*:
Conduct research on algorithms and techniques for dialog management for spoken and multimodal interactive systems.
Find novel applications of machine learning techniques such as deep neural networks and reinforcement learning to the creation and optimization of intelligent virtual assistants.
Conceive, implement, and evaluate innovative conversational interactive systems.
Work closely with product management and engineering teams to bring differentiating technologies into our award winning Intelligent Virtual Assistant platform.
Work with large audio and text databases to train novel supervised and unsupervised machine learning models of speech, language, and dialog.
Contribute to the technical thought leadership of the company through conference presentations, publications, meet-ups, and professional service.
Required:
Bachelors Degree in Computer Science, Engineering, Linguistics or related field.
PhD in Dialog or Natural Language Processing OR MS in Dialog or Natural Language Processing coupled with 3+ years of industry experience in dialog and natural language processing.
In depth understanding of speech and language processing technology.
Strong software background with a high level of proficiency in at least one of: Python, Java, C++.
Strong background and experience in application of machine learning to dialog and natural language tasks.
Proven research record with publication in major international conferences.
Pluses:
Industry experience building interactive conversational systems using Python
Experience with TensorFlow and/or PyTorch
Experience with automated speech recognition and image recognition
Experience conducting experimental evaluations of interactive systems
Demonstrated ability and drive to take results from research experiments and incorporate them into working software prototypes
Link:
https://interactions.hua.hrsmart.com/hr/ats/Posting/view/973
Applied Research Scientist, Natural Language Processing
Facebook
Facebook's mission is to give people the power to build community and bring the world closer together. Through our family of apps and services, we're building a different kind of company that connects billions of people around the world, gives them ways to share what matters most to them, and helps bring people closer together. Whether we're creating new products or helping a small business expand its reach, people at Facebook are builders at heart. Our global teams are constantly iterating, solving problems, and working together to empower people around the world to build community and connect in meaningful ways. Together, we can help people build stronger communities — we're just getting started.
Facebook is seeking an Applied Research Scientist to join our Language and Translation Technologies Team in Menlo Park. This team is part of the Applied Machine Learning organization within Facebook, working to unlock the meaning of language across all languages used on Facebook. In pursuit of this mission, the team has been working on creating Natural Language Processing (NLP) platforms that are used to build and deliver AI applications to more than 2 billion people that use Facebook every month. This journey is only 1% finished, and we are looking for candidates interested in extending our capabilities on cross-lingual NLP and enabling novel NLP technologies. The ideal candidate will have a strong background in developing NLP systems, a strong knowledge of ML and neural networks, and have experience working with massive amounts of data. They should also have strong software engineering skills and the ability to build systems that reach Facebook scale.
RESPONSIBILITIES
Conduct research to advance the state of the art in neural networks and NLP.
Utilize that research to develop and deploy scalable neural network models into production to impact billions of people using Facebook.
Link:
www.facebook.com/careers/jobs/755885087931907
Postdocs in neural NLG
The Ohio State University
Looking for multiple postdocs for an industry-sponsored project on structure in neural NLG. Researchers will have substantial freedom to define their own directions and join a wonderful community of NLP and language researchers.
Link:
https://u.osu.edu/mwhite/
Research Scientist - Siri Knowledge (ML)
Apple
***please contact Pablo Mendes via pablomendes@apple.com for inquiries regarding the position in Cambridge, UK***
Do you like building radically better solutions to real world problems? We are a team of engineers and research scientists working on a new and fundamentally different way of building Machine Learning systems. Join the Siri Knowledge (ML) team and make a positive impact on hundreds of millions of people interacting with Apple products around the world.
Key Qualifications
Expertise in machine learning and natural language processing, especially question answering, information extraction, deep learning, semi-supervised learning, active learning, etc.
Excellent programming skills in one or more of the following: Python, Go, C++, Java
Comfortable using ML libraries such as Tensorflow, Pytorch, Cafe, etc.
Strong data science / data mining skills, with knowledge of SQL, Spark or other data processing frameworks.
Contributions to research communities, e.g. ACL, NIPS, ICML, CVPR, etc.
Description
Our goal is to take smart assistants to the next level through the development of cutting edge techniques in machine learning, question answering, information extraction and related areas. On our team you will perform opportunity analysis, identify algorithmic weaknesses/strengths, develop innovative solutions, measure the impact of changes, etc. always leveraging large amounts of automatically and manually generated training data. We collaborate with several teams across the company and regularly ship improvements to products used by hundreds of millions of people.
Education & Experience
Masters or PhD in Computer Science, with a specialization in Machine Learning, Natural Language Processing, Software Engineering, Human-Computer Interaction or related fields, or equivalent experience
Additional Requirements
Natural Language and Machine Learning experience is a plus Bilingual or multilingual preferred.
Link:
None
Research Scientist
Facebook
Facebook's mission is to give people the power to build community and bring the world closer together. Through our family of apps and services, we're building a different kind of company that connects billions of people around the world, gives them ways to share what matters most to them, and helps bring people closer together. Whether we're creating new products or helping a small business expand its reach, people at Facebook are builders at heart. Our global teams are constantly iterating, solving problems, and working together to empower people around the world to build community and connect in meaningful ways. Together, we can help people build stronger communities — we're just getting started.
Facebook is seeking a Research Scientist to join Facebook AI Research (FAIR), a research organization focused on making significant progress in AI. Individuals in this role are expected to be recognized experts in identified research areas such as artificial intelligence, machine learning, computational statistics, and applied mathematics, particularly including areas such as deep learning, graphical models, reinforcement learning, computer perception, natural language processing and data representation. The ideal candidate will have a keen interest in producing new science to understand intelligence and technology to make computers more intelligent. To learn more about our research, visit https://research.facebook.com (https://research.facebook.com/).
RESPONSIBILITIES
Lead research to advance the science and technology of intelligent machines.
Lead research that enables learning the semantics of data (images, video, text, audio, speech and other modalities).
Devise better data-driven models of human behavior.
Work towards long-term ambitious research goals, while identifying intermediate milestones.
Influence progress of relevant research communities by producing publications.
Link:
https://www.facebook.com/careers/jobs/2002758203318383/
Senior Data Scientist
Microsoft (Azure CGA)
We are looking for a passionate, talented, and innovative Data Scientist with a strong machine learning and deep learning background to help build industry-leading solutions. As a senior data scientist in the Azure CGA team, you'll collaborate with partner teams and other researchers at Microsoft to build new ML solutions to solve critical and complex business problems. As part of this process, and with support from our data platform and engineering team, you will be working with huge volumes of data to solve real-world data science problems.
Feel free to email me your CV with the subject title 'NAACL' and the profile you are interested in.
Link:
https://careers.microsoft.com/us/en/job/551783/Senior-Data-Scientist
Junior Data Scientist
Microsoft (Azure CGA)
We are looking for a passionate, talented, and innovative Data Scientist with a strong machine learning and deep learning background to help build industry-leading solutions. As a data scientist in the Azure CGA team, you'll collaborate with partner teams and other researchers at Microsoft to build new ML solutions to solve critical and complex business problems. As part of this process, and with support from our data platform and engineering team, you will be working with huge volumes of data to solve real-world data science problems.
Feel free to email me your CV with the subject title 'NAACL' and the profile you are interested in.
Link:
https://careers.microsoft.com/us/en/job/573996/Data-Applied-Scientist
Senior Computational Linguist
Leidos
Our Leidos Innovation Center has an immediate opening for you, our next Computational Linguist specializing in natural language processing and machine learning to work in Arlington, VA . Perform in a demanding, high-energy position requiring flexibility and innovative technical solutions to the challenges of processing, interpreting, and analyzing unstructured text documents. We need someone knowledgeable in various text processing, data curation, and linguistic annotation methods, as well as familiarity with state-of-the-art research in natural language processing and practical application of related machine learning methods to human language data. Someone with experience constructing corpora, adapting/tuning NLP models, and evaluating natural language processing technologies in an operational environment would be a huge plus for us. You will be part of a small but dedicated AI/ML team to provide new data and technology for approaches and methods for advanced text analytics.
Link:
https://careers.leidos.com/jobs/3673017-senior-computational-linguist-nlp-machine-learning-text-analytics
Informatics Specialist - Clinical NLP
Mayo Clinic
Join the authority in medicine. At Mayo Clinic, we believe there is a better path to healing that humanizes the practice of health care and inspires hope in the people who need it most. You will be part of an amazing team committed to solving the most serious and complex medical challenges – one patient at a time.
We are looking for NLP scientists and motivated interns in biomedical domain.
Link:
https://jobs.mayoclinic.org/jobs/informatics-specialist-117046br
Postdoc@The University of Tokyo, Japan (Ja-En Machine Translation)
The University of Tokyo
We are looking for a Japanese-English, context-aware, spoken-language machine translation researcher. Japanese spoken texts have a lot of zero pronouns which should be correctly recovered from the context and translated in the target English texts. If you are interested in this research topic (actually the research topic is not limited to this), this position, working in Japan, etc., please contact me!
Postdoc in NLP at Columbia University
Columbia University
There is an open position for a postdoctoral researcher in NLP in my group at Columbia University! Interested candidates should contact Smaranda Muresan at smara@columbia.edu with a CV.
Link:
http://www.cs.columbia.edu/~smara/
NLP scientist
Hugging Face 🤗
Contribute to the advancement of NLP in a startup team!
Link:
http://huggingface.co/#science
Siri - Machine Translation R&D Scientist
Apple Inc.
You will take part in the next revolution of confluence between machine translation and human-computer interaction. Build significant impact in shipping machine translation technology to real-world users. Enable our users to seamlessly communicate without language barriers or access content in a foreign language through intuitive interfaces. Tackle practical problems related to mainstream adoption of MT including core technology, learning from user feedback, error recovery and user-interface design. We are looking for people who have a deep real passion for technology and collaborate with a team of researchers, engineers and designers towards making it available in the hands of millions of dedicated customers.
Senior Data Scientist - Pearson
Pearson
We are a highly agile team responsible for cutting-edge educational technology with an emphasis on text-based formative, complex assessments across a spectrum of learners, domains and technologies. 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. Using techniques from NLP and ML, you will research and develop innovative ways to contribute to the future of learning.
Responsibilities
Design, develop and evaluate text analytics, statistical models and computational algorithms to improve the value of Pearson products, services and processes.
Apply a variety of ML techniques, from linear regression to the latest neural network modeling techniques to improve the efficacy of our educational technologies.
Design data collection approaches that capture relevant user behavior to enhance both content and overall learning experience.
Build functional proofs of concepts.
Work collaboratively with other members of the Lab and product partners to advance the goals of the Lab.
Qualifications
PhD (or masters with 3 years equivalent experience) in a quantitative field with evidence of successfully applying NLP and ML to substantive problems
Evidence of solving significant problems with one or more deep learning frameworks (Tensorflow, PyTorch…). Experience in applying GPUs in training and prediction a strong plus.
Programming experience in modern languages such as Python, proficiency with database technologies including SQL and non-relational solutions, and data analysis.
Experience with linguistic and statistical analysis of natural language utilizing applications from AI/NLP, including corpus-based continuous language models based on word embeddings such as LSA and/or Word2Vec.
Interest in human cognition, teaching and learning. Experience with educational data is a plus.
Evidence of good communication skills, both presentations and publications.
Link:
https://pearson.jobs/boulder-co/senior-data-scientist/FEEF5440AF52418D9A2DC9E0A138DB77/job/
Staff Computational Linguist
MITRE
The position involves researching, developing, engineering, evaluating, integrating, and assisting sponsors with tools for computational linguistics. The areas include but are not limited to machine translation, translation memory, information extraction, name-matching, speech/audio processing, document exploitation, and evaluation. The candidate must be able to range between high-level strategic activities and day-to-day sponsor site activities.
Link:
https://g.co/kgs/yk2qk5
Data Scientist - NLP
Outreach.io
Our vision of you:
You have a solid background in statistical learning techniques for NLP (Deep Learning, HMMs, CRFs, SVMs, LDA, LSI, MRFs, etc), and experience applying these techniques to solve real problems in one of the modern distributed ML and deep learning frameworks (TensorFlow, PyTorch, MxNet, etc.)
You have experience working with distributed data processing frameworks such as Spark.
You have strong programming skills in Python and are familiar with at least one other object oriented programming language (C++, Java, Scala, etc.)
You understand the entire lifecycle of machine learning product development, from inception to production
You are hands on, able to quickly pick up new tools and languages, and excited about building things and experimenting
You go above and beyond to help your team
You are honest, admit mistakes, and own fixing them
You are a motivated and talented craftsperson: always looking to sharpen and adapt your skills
You have an MS in Computer Science, Statistics, or a related quantitative field, or equivalent industry experience. PhD degree and a track record of publications at conferences such as NAACL, ACL, CoNLL, ICML, ICLR, IJCAI, SIGIR, EMNLP, KDD, WWW, NeurIPS, AAAI, CoLING are preferred.
About Outreach
Since our first days here at Outreach learning about how people communicate, we became obsessed with understanding our customer's’ problems. As a result, we’ve built the most loved product on the market and won the hearts and minds (and business) of some incredible organizations around the world.
In addition to our relentless focus on the customer, we’ve received over $239 million in venture funding, been listed on Seattle Business Magazine’s 100 Best Places to Work, among many other awards. We achieved Unicorn status with $1.1 billion valuation after our $114 million Series E funding in April 2019.
We aren’t slowing down anytime soon.
Link:
outreach.io
NLP Software Engineer
Textio
We believe that a great writing experience is fast, outcome-focused, and alive with your ideas. Going from start to finish on a document in three minutes. Knowing who will respond to anything you've written before you even press send. Writing software that puts your ideas at the center, with language that is certain to land the way you want.
We are looking for exceptionally curious and creative Software Engineers to join our Seattle team and build the future of writing with category-defining data products. You will be joining a welcoming and collaborative natural-language processing team at a company with language at its heart.
You will partner closely with other engineers and linguists, applying your expertise to construct the core pipelines that process document data from Textio customers worldwide: engineering model features, designing annotation tasks, training and shipping production models, and building into new writing domains. We'll support your growth as an engineer, as you make substantive contributions to Textio’s linguistic analyses.
What you'll do at Textio:
* Creatively apply and re-envision NLP and ML algorithms to solve challenging language problems
* Build pipelines for language analysis at increasing levels of depth and complexity
* Bring a strong ethical orientation to your analysis of linguistic behaviors and social realities
* Balance the trade-offs between linguistic sophistication and practical feasibility
We'd love to hear from you if:
(Read more here: https://textio.com/careers/job/?id=21175265-b25d-4196-b52b-7be1acdc215e)
Link:
https://textio.com/careers/job/?id=21175265-b25d-4196-b52b-7be1acdc215e
Senior Machine Learning Engineer - Webex Intelligence
Cisco
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.
Link:
https://jobs.cisco.com/jobs/ProjectDetail/Senior-Machine-Learning-Engineer-Webex-Intelligence/1257539
Senior NLP Software Engineer
Textio
We believe that a great writing experience is fast, outcome-focused, and alive with your ideas. Going from start to finish on a document in three minutes. Knowing who will respond to anything you've written before you even press send. Writing software that puts your ideas at the center, with language that is certain to land the way you want.
We are looking for exceptionally curious and creative Senior Software Engineers to join our Seattle team and build the future of writing with category-defining data products. You will be joining a welcoming and collaborative natural-language processing team at a company with language at its heart. You will make critical contributions to the architecture and development of Textio’s natural language processing systems. You will mentor, lead, or partner closely with other engineers and linguists to build the core pipelines that process document data from Textio customers worldwide.
What you'll do at Textio:
* Creatively re-envision NLP and ML algorithms to solve new and challenging problems
* Bring a strong ethical orientation to your analysis of linguistic behaviors and social realities
* Synthesize and evangelize a shared viewpoint, bringing together complementary understandings of our language-analysis challenges
* Prototype varying approaches to hard problems, advocate for the best path forward, and lead final implementation
* Serve as a source of fundamental computational linguistic domain knowledge, guiding the team through the trade-offs of linguistic sophistication and runtime performance
We'd love to hear from you if:
(Read more here: https://textio.com/careers/job/?id=a0673337-6812-45ca-b42a-862e5d15473d)
Link:
https://textio.com/careers/job/?id=a0673337-6812-45ca-b42a-862e5d15473d
Research Engineer (NLP/Speech)
Educational Testing Service (ETS)
This is an excellent opportunity to have a significant impact on existing and next-generation NLP, speech, dialog, and multimodal systems and their use in educational applications. This position requires Master's degree.
See full description at https://etscareers.pereless.com/index.cfm?fuseaction=83080.viewjobdetail&JID=278671&cid=83080 or talk to any ETSer at this conference if you want to learn more!
Link:
https://etscareers.pereless.com/index.cfm?fuseaction=83080.viewjobdetail&JID=278671&cid=83080
Senior Research Scientist - ML/AI/NLP
Nuance Communications
Join Nuance as a senior research scientist in the natural language understanding (NLU) team! You will be working on applying machine learning and deep learning (neural networks) to develop NLU algorithms for virtual assistants, powering increasingly intelligent solutions for the Enterprise and Healthcare domains. You will leverage the latest scientific advancements from the deep learning research community in various areas such as transfer learning and novel NLU model architectures.
Link:
https://jobs.nuance.com/job/montreal/chercheur-machine-learning-deep-learning-senior-research-scientist/843/11839700
Visiting Scholar
U.S. Securities and Exchange Commission
The U.S. Securities and Exchange Commission is looking for computational linguists to perform socially impactful research using regulatory datasets. We are looking for faculty members of U.S. univerities or colleges specializing in IE/IR, summarization, and/or text analysis. The application details can be found in the provided link. For more technical context (or other questions), please email Marco.
Link:
https://www.ssrn.com/index.cfm/en/janda/job/?id=4826
Siri - Senior ML Research Scientist (NLP)
Apple
Working as part of an extraordinary team, including world renowned academics, top software engineers and expert machine learning practitioners, we are passionate about applying groundbreaking techniques to conversational dialogue.
Siri processes more than a billion requests every week, so you will enjoy implementing machine learning at scale and you'll take on all the complexities involved in taking research work through to production.
You will love the state of the art resources at Apple. Huge compute grids, top-quality machine learning tools, and large quantities of data will help you improve user facing features.
Day to day you will be leading the development of new NLP components and prototyping solutions within the Siri system. You will provide technical leadership as well as direct hands-on contributions to model design, evaluation and reporting of scientific results. If you are interested in taking on line management responsibilities, there will be opportunities to do so. However you contribute, our goal is to make a real difference to the lives of Siri users.
There are many difficult problems for us to solve, so we're keen to take on new ideas and ways of thinking.
If this is you, we'd love to hear from you.
Qualifications:
PhD in Machine Learning or a related topic (or equivalent practical experience)
Link:
None
Analytical Linguist
Grammarly
We’re looking for a collaborative Analytical Linguist who can be a part of our Natural Language Processing team based in New York City. The team is also open to strong candidates who may prefer to work out of our office in San Francisco.
We use a combination of machine learning, deep learning, and pattern-based methods to drive our high-quality writing feedback. Linguists are essential to improving the quality of our checks, developing training and evaluation sets for our statistical approaches, and conducting user experiments. The team you will be partnering with is critical to moving forward Grammarly’s data-based approaches.
Link:
https://www.grammarly.com/jobs/engineering/analytical-linguist?gh_jid=1543041
NLP/ CV/ AI/ ML - Internships, Engineers, Scientists, Managers
Verisk Analytics
Interested in highly talented and motivated researchers (all levels) capable of doing publishable research, building robust deployable solutions and collaborating with academia on tough research problems. We work on a large variety of topics in NLP - knowledge representation and reasoning, information extraction, document understanding, NLI, QA, multimodal (text, speech, and vision) and active learning, human-machine collaboration systems, interpretability and beyond — vision, speech and almost all areas in AI/ ML.
Verisk is a 40+ year-old B2B data analytics FinTech company with around 10,000 employees in over 25+ business units in 30+ countries around the world. We’ve been ranked in the Forbes list of most innovative companies and best employers. (And our stock has almost doubled in around 3 years).
Verisk| AI is a 2-year young corporate R&D group. We’re building a team (now at 15 people and growing) to do, high quality publishable and patentable R&D with cross-modal and cross-business impact on all AI topics. We work a variety of large, market-wide, consortium datasets.
NLP research engineer
Rulai
https://www.linkedin.com/jobs/view/1143360652/
Link:
None
Research Programmer
USC Information Sciences Institute
The ISI VISTA Center (https://www.isi.edu/centers/vista/overview) seeks applicants for a Research Programmer II position in the field of natural language processing (NLP). VISTA NLP researchers work on grant-funded research in areas such as information extraction, machine translation, and information retrieval. We are a fast-paced, deadline-driven research environment focused on creating robust intelligent systems that succeed when applied to real world problems and data. As an academically situated institute, we encourage development of and contributions to open source projects.
Sample Job Postings
https://usccareers.usc.edu/job/waltham/research-programmer-ii-natural-language-processing/1209/11634648
https://usccareers.usc.edu/job/waltham/computer-scientist-natural-language-processing/1209/11634650
Link:
https://usccareers.usc.edu/job/waltham/research-programmer-ii-natural-language-processing/1209/11634648
Director of Language Research & Development
Textio
We believe that a great writing experience is fast, outcome-focused, and alive with your ideas. Going from start to finish on a document in three minutes. Knowing who will respond to anything you’ve written before you even press send. Writing software that puts your ideas at the center, with language that is certain to land the way you want.
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 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 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 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 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.
(Read more: https://textio.com/careers/job/?id=49de278d-d59d-4d09-a7cb-52d885cd2e6c)
Link:
https://textio.com/careers/job/?id=49de278d-d59d-4d09-a7cb-52d885cd2e6c
Machine learning engineer - On-device Voice UI
Qualcomm
We hire machine learning SW and Systems engineers to enable on-device voice UI with ASR/NLP/TTS
Link:
https://jobs.qualcomm.com/public/search.xhtml
NLP Research Scientist
Zalando Research
We're growing our NLP research team in Berlin! We're looking for people with a PhD in ML or NLP who love deep learning research, writing papers and contributing to open source projects.
Check out our NLP framework Flair:
https://github.com/zalandoresearch/flair
And our research lab:
https://research.zalando.com/
Link:
https://github.com/zalandoresearch/flair
Applied Scientist, Natural Language Processing
Amazon
Amazon e-commerce foundational technologies team is looking for scientists interested in the intersection of NLP and software engineering. We use the data produced by our internal software development tools/processes to build products aimed at horizontal scaling of our tech teams.
Amazon has a strong culture of ownership and customer obsession. If you like to own end-to-end business problems and metrics which would have a direct impact on the bottom line of our business, if you love to innovate, if you love to discover knowledge from big structured and unstructured data to deliver results, then we want you to be in our team.
Machine Learning Engineer
Vanguard
Making data deliver for investors
From our rare ownership structure to our low-cost options, Vanguard is committed to the belief that nothing should stand in the way of investors meeting their goals. We’re making use of advanced data analytics to tackle our most hard problems, removing obstacles to investment and develop deeper market and business insights. As a Senior Data Engineer at our Center for Analytics & Insights (CAI), you’ll build sophisticated solutions that support a wide range of advanced data driven capabilities.
Make it count.
In this role, you will:
• Apply your technological expertise to address the data challenges that our business and our clients face, using insights to turn challenges into opportunities
• Translates business specifications into design specifications and codes accordingly, in a well-structured and modularized fashion
• Keen on learning about various tools and techniques for data wrangling and pipelining. Heavy focus on ML and AI aspects of data engineering
• Prototype new approaches and production solutions at scale
• Collaborate with our Advanced Analytics team to collect and manage large-scale datasets that support better investment decisions
• Keep up to speed with the latest industry and technology developments, and apply them to solve data and analytics challenges focused on business performance
• Lead activities such as quality assurance and data migration and integration to ensure clients and investors get the best business benefit
Link:
https://www.vanguardjobs.com/job/9597938/machine-learning-engineer-malvern-pa/
Data Scientist II
Vanguard
Collect the insights to stand for investors
At Vanguard, our mission is to help investors meet their financial goals, and that starts with providing the analytical insights they need. The strategic use of data is important to helping our business develop new capabilities and solutions. As a Data Scientist at our Center for Analytics & Insights (CAI), you’ll combine analytical and innovative ways to pursue complex and strategically important problems. We have a rich array of data available to us and wealth of challenges to offer you. Make it count.
In this role, you will:
• Lead challenging analytic projects that provide deep insights into client needs and behavior and, ultimately, offer the best chance for investment success
• Identify ways of demonstrating data to address challenges and opportunities and, through sophisticated analysis, formulate insights that improve the way we do business
• Develop subject matter expertise and use it to guide business partners and leaders in the interpretation and use of analytic solutions for business issues
• Strengthen the business and help support clients by using data to describe and model the outcomes of investment and business decisions
Discover new approaches to complex business problems
Your real passion for data, along with your ability to communicate complex ideas through storytelling and visualization, will supply to the development of new ways of doing business. You’ll collaborate with a high performing, cross-disciplinary team including advanced data analysts, data engineers, consultants, and market researchers—all backed by Vanguard’s sophisticated modeling and data management tools. If you’re driven to lead projects that uncover innovative ways of investing, you could launch a dynamic career, helping to serve over twenty million clients, worldwide and transforming the way our industry operates. Invest your skills for the benefit of our clients and we’ll invest in your future.
Link:
https://www.vanguardjobs.com/job/9393452/data-scientist-ii-malvern-pa/
Natural language engineer
Pryon
Work on a team to Extend the capabilities of our ML, NLP, and inference engines and develop evaluation metrics and tools. Visit our poster at 3:30 Wednesday
Link:
Pryon.ai
Post doc in multimodal ML at Imperial College London
Imperial College London
For further information and to apply: https://www.imperial.ac.uk/jobs/description/ENG00862/research-associate-multimodal-machine-learning
We are seeking to hire a Research Associate to contribute towards multimodal machine learning, in particular to:
—Cross-lingual video captioning
—Applications to language tasks, with emphasis on machine translation, but also automatic speech recognition, text summarisation etc
This position is funded by: the British Council MMVC (A Multimodal and Multilingual Framework for Video Captioning) project.
the ERC MultiMT project (https://multimt.github.io/): Multimodal Context Modelling for Machine Translation.
Both projects are led by Professor Lucia Specia (http://www.imperial.ac.uk/people/l.specia) at Imperial College London.
Imperial College is consistently in the top 10 world university ranking. The Department of Computing has repeatedly been awarded the highest research ratings in the REF assessments, was ranked 1st in the Research Intensity table published by The Times Higher, and was rated as "Excellent" in the most recent national assessment of teaching quality.
Essential requirements
A strong track record in at least one of the following areas is essential for this post: machine learning, natural language processing or computer vision. Preference will be given to applicants with experience in multimodal work involving two of more of these areas.
In particular, the following skills are required:
—Experience in the modelling of natural language processing/computer vision or multimodal tasks using machine learning
—Experience with deep learning algorithms and deep learning frameworks (e.g. PyTorch, TensorFlow)
—Significant experience with coding
Link:
None
Research Scientist
Pryon
Work on a team to solve fundamental problems in ML, NLP, and HCI with applicability to practical commercial uses and help transition technology to our product environment. Visit our poster at 3:30 on Wednesday.
Link:
Pryon.ai
Quantitative Researcher in Machine Learning
Two Sigma
As a Quantitative Machine Learning Researcher, you will use a rigorous scientific method to develop sophisticated trading models, apply machine learning to vast often esoteric datasets, and partner with engineers to test complex investment hypotheses.
PREFERRED QUALIFICATIONS
Bachelor’s, Master’s, or PhD degree in a technical or quantitative field
Have applied machine learning to real-world datasets
Intermediate programming skills in Java, C++, or Python
Have published work in journals and/or have presented at conferences
Link:
twosigma.com/naacl
Researcher in Deep Learning
Two Sigma
The Deep Learning team splits its time between fundamental research in Deep Learning (both algorithmic and systems) and its applications to Finance. As part of this team you’ll remain connected to the broader research community by partnering with external collaborators and publishing papers.
PREFERRED QUALIFICATIONS
Master’s or PhD degree in Computer Science
Expertise in machine learning with a focus on Deep Learning
Intermediate programming skills in Java, C++, or Python
Strong publication record or Open Source contributions in Deep Learning or related areas
Experience working on practical applications using real-world datasets
Link:
twosigma.com/naacl
Data Scientist in Investment Research
Two Sigma
As machine learning and data-driven business intelligence have permeated industries, an abundance of new datasets and techniques have created opportunities for granular measurement of varied aspects of our economy. You’ll further scale our long-standing efforts to leverage these advancements to measure and predict the world’s financial outcomes.
PREFERRED QUALIFICATIONS
Have applied data analysis & prediction, preferably in an industry setting
Demonstrably strong data science modeling intuition and feature engineering creativity
Intimate familiarity with the potential flaws & fallacies in the applications of specific statistical methods
Have a portfolio of open-data analyses or data-driven research publications
Link:
https://www.twosigma.com/naacl/
NLP and ML Engineer
Apple
Ever wanted to work on core natural language processing with special focus on the languages of the world? Be a part of Siri International team and contribute to some of the most challenging problems in NLP and machine learning applied to various languages. 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://jobs.apple.com/en-us/details/200015869/natural-language-processing-machine-learning-engineer?team=SFTWR
Principal/Senior Data Scientist
Blue Cross / Blue Shield of IL, MT, NM, OK & TX
Blue Cross / Blue Shield of Illinois, Montana, New Mexico, Oklahoma and Texas (BCBS-IL) is looking to add principal and senior-level data scientists to our Enterprise Data Science team. This is an opportunity to be a methodological leader, championing the adoption of novel NLP and machine learning techniques across the organization. The team's charter is to leverage challenging unstructured data sources such as electronic health records, diagnostic imaging, and member interaction logs, in order to improve the quality, affordability, and accessibility of care for our members.
BCBS-IL is the fourth-largest private US health insurer, serving almost 15 million members. BCBS-IL is a not-for-profit carrier, and has been regognized as one of America's most ethical corporations.
Link:
https://hcscrccorp.peoplefluent.com/res_viewjob.html?optlink-view=view-68744
Applied Scientist
Microsoft
NLP, ML team in bing, Microsoft , india
Post-doc position on computational approaches to reference
Post-doc position on computational approaches to reference
Post-doc position at UPF, Barcelona
Universitat Pompeu Fabra
Post-doc position on computational approaches to reference with memory-enhanced neural networks, Barcelona
Link:
https://www.upf.edu/web/amore/home/-/asset_publisher/4tg886Bh6Ppq/content/id/224481372/maximized
German clinical NLP researcher
Friedrich Schiller University Jena
We’re looking for researchers to join us in processing German clinical texts in the SMITH project. We are interested in clinical entities and their interactions as well as modality (e.g. temporal). PostDocs very welcome!
Link:
https://julielab.de
Deep-learning research scientist for learning theory, knowledge transfer, and generative models
Qualcomm
Overview
We are looking for the deep-learning researchers interested in developing new theories and algorithms on the following areas:
Unsupervised / semi-supervised / self-supervised learning
Meta-Learning: few-shot learning
Domain adaptation / knowledge transfer
Deep generative models
Representation learning
Adversarial attacks, examples
Qualifications:
- Machine learning knowledge and experiences
- Recent deep learning research experiences
- Algorithm implementation experiences using python with deep learning platform, e.g. PyTorch, TensorFlow.
The developed theories and algorithms can be applied to computer vision, audio, and speech tasks such as
image classification, image generation, video classification, audio scene detection/classification, automatic speech recognition, and speaker identification/verification.
Also, the research results can be published as a conference paper.
The technologies to develop can be deployed on the mobile device applications and has a great worldwide impact on the on-device learning algorithms using Qualcomm chips.
Link:
https://jobs.qualcomm.com/public/jobDetails.xhtml?requisitionId=1974001
