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Jobs Posted on the Whova Community Board of The 2021 Conference on Empirical Methods in Natural Language Processing

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Researcher
Microsoft
Building large scale multilingual MT/language models.

We are looking for people who finish their ph.d in 2022.
Research intern
Microsoft
Building large scale multilingual MT/language models.

US based Ph.d students who can work on 12 weeks internship project in 2022.
Junior NLP MLE
SparkCognition Government Systems
See link. Junior NLP position at 2-year-old startup: US government defense subcontracting. Caveat: must be US citizen. Ability to get a security clearance preferred.

(My email is attached to this post because I'm the one attending the conference-- but no need to reach out to me first if you don't want to)
Link: https://recruiting2.ultipro.com/SPA1011SPKC/JobBoard/ff1e1258-6662-45c6-bede-d8f8dca9208f/OpportunityDetail?opportunityId=9fc90429-af5f-4190-9fce-8588ac4e3e25
Senior Data Scientist
LexisNexis Legal & Professional
Solve challenging problems in natural language processing in the legal domain.
Senior Research Scientist
Microsoft
Senior research scientist in the Cloud and AI team in Microsoft’s Developer Division. Push the limits of AI in the programming language domain and contribute to next general developer tools in VSCode, Visual Studio, and more!
Link: https://careers.microsoft.com/i/us/en/job/1195750/Senior-Research-Scientist
Research Assistant
Singapore University of Technology and Design
We are hiring for four social AI projects! Candidate should have a Bachelor’s and/or Master’s degree in Computer Science or closely-related disciplines. He or she should be competent in at least one programming language and have some experience in implementing data mining algorithms and machine learning models (school projects included).
Link: https://www.socialai.studio/join
Research Fellow
Singapore University of Technology and Design
We are hiring for four social AI projects! Candidate should have a Ph.D. degree and a promising academic record. Topics considered particularly relevant include social media mining, computational social science, machine learning, deep learning, recommender systems, natural language generation. A strong background in other computational social science, data mining and machine learning topics will also be considered.
Link: https://www.socialai.studio/join
Data Science Manager - NLU/NLG
SKAEL


As a Data Science Manager at SKAEL, you will have a chance to work and conduct research on cutting-edge technologies related to NLP, NER and conversation logic through algorithms that improve the way human employees interact with digital employees.

You will design and lead a team to develop solutions within the Artificial Intelligence spectrum to bring innovation to our hyperautomation platforms. You will report to executive management and influence change.

As part of your role, you may need to:
- Lead and manage a team of data scientists developing the next generation of natural language generation algorithms
- Collaborate with other data scientists, engineers, and product managers to design the building blocks and overall requirements for projects
- Analyze data covering a wide range of information from various document formats and databases
- Demonstrate feasibility of new ideas using proof-of-concept, and help integrate them to the products
- Communicate complex concepts and the results of analyses in a clear and effective manner to technical and non-technical audiences
- Collaborate with other team members and cross-functionally to share knowledge and discuss initiatives

Minimum Qualifications
- A PhD in Computational Linguistics or a related field from an accredited institution
- An expert in NLG technologies (6+ years of post-graduate experience working on projects involving NLP and Python)
- Experience managing a team of data scientists
- Capable of applying basic principles of data science (machine learning, statistics, computer science, mathematics) to solve technical problems
- Can share results and communicate clearly with team members and stakeholders, even in non-technical forums
- Able to mentor and guide junior team members

Additional Job Information
- Comprehensive benefit package
- Remote: Work from anywhere in the US, Canada or Mexico

For a more detailed job description see link below.

Link: https://skael.bamboohr.com/jobs/view.php?id=90
Postdoc in neural NLG
The Ohio State University
Looking for a postdoc to work on coherence and correctness in neural NLG (see link)
Link: https://u.osu.edu/white.1240/2021/05/29/looking-for-another-postdoc-to-work-on-coherence-and-correctness-in-neural-nlg/
Machine Translation Researcher
Microsoft
Join the Microsoft Translator team! Our work ranges from text to document to speech translation, including high and low resource languages, multilingual and multitask pretrained models at scale and more.
Tenure Track position in ML/CL at Center of Mind/Brain Italy
CIMeC University of Trento,
Tenure Track position on Machine Learning with applications to Computational Linguistics and Neurocognitive Science. Submission deadline 2nd of December 2021, at 13:00 CET. contact me if you are interested.
Senior Machine Learning Engineer
People.ai
Work with the engineering team, product and customer success, designed and built new features in Intelligence Platform that substantially improve data richness and power multiple new use cases within people.ai platform
Leverage knowledge of data analysis and information retrieval techniques to extract signal from existing data, thus driving up data quality in a measurable and consistent manner.
Scale the Intelligence Platform through building efficient distributed services and data pipelines. Ensure robust operation by building observability tooling and minimizing the number of production incidents.
Partner with Customer Success team, participate in incident investigations and escalations, understand underlying problems, propose and implement solutions.
Accelerate the team’s velocity by following best practices of software development, delivered clean, documented, and maintainable code. Ensure monitoring, ease of debugging and tracing. Build the necessary tooling to enable the customer support team to investigate and solve support requests in a self-service manner.
Link: https://people.ai/careers/
Senior Applied Research Scientist - NLP
Thomson Reuters
In this opportunity you will:
Experiment and Develop: You will drive the end-to-end model development lifecycle, championing best practices to ensure reproducible research and well-managed software delivery.
Collaborate: Working on a collaborative cross-functional team, you will share information, value diverse ideas, and partner effectively with colleagues across the globe.
Delivery: You will be accountable for timely, well-managed deliverables.
Innovate: You will be empowered to try new approaches and learn new technologies. You will foster innovative ideas to solve real-world challenges.
Inspire: You will be a proactive communicator who is excited to share your work. You will be articulate and compelling in describing ideas to both technical and non-technical audiences.

Link: https://thomsonreuters.wd5.myworkdayjobs.com/External_Career_Site/job/CAN-Toronto-120-Bremner-Blvd/Senior-Applied-Research-Scientist---NLP_JREQ145720
Senior Data Scientist, NLP
Thomson Reuters
We are looking for a Senior Data Scientist, NLP to join our London team!

Are you excited about working at the forefront of applied research in an industry setting? Thomson Reuters Labs in London is seeking an experienced scientist with a passion for solving problems using state-of-the-art Machine Learning and Natural Language Processing.

What does Thomson Reuters Labs do? We experiment, we build, we deliver. We support the organization and our customers through applied research and development of new products and technologies. TR Labs innovates collaboratively across our core segments in Legal, Tax & Accounting, Government, and Reuters News. We undertake a diverse portfolio of projects today, while investing in long term research for the future.

As a scientist in Labs, you will be part of a global interdisciplinary team of experts. We hire specialists across a variety of AI research areas, as well as Engineering and Design, to drive the company’s digital transformation. TR Labs is known for consistently delivering Artificial Intelligence projects that advance the state of the art in support of high growth products and serve Thomson Reuters customers in new and exciting ways.

Link: https://thomsonreuters.wd5.myworkdayjobs.com/External_Career_Site/job/GBR-London-5-Canada-Square/Senior-Data-Scientist--NLP_JREQ144810
Applied Research Scientist - NLP
Thomson Reuters
Thomson Reuters Labs in Toronto and Minneapolis is seeking scientists with a passion for solving problems using state-of-the-art Information Retrieval, Machine Learning and Natural Language Processing.
What does Thomson Reuters Labs do? We experiment, we build, we deliver. We support the organization and our customers through applied research and the development of new products and technologies. TR Labs innovates collaboratively across our core segments in Legal, Tax & Accounting, Government, and Reuters News. We undertake a diverse portfolio of projects today while investing in long-term research for the future.
As a scientist in Labs, you will be part of a global interdisciplinary team of experts. We hire specialists across a variety of AI research areas, as well as Engineering and Design, to drive the company's digital transformation. TR Labs is known for delivering innovative AI products that serve Thomson Reuters customers in new and exciting ways.
More about Thomson Reuters Labs - http://tr.com/ai-jobs
Link: https://thomsonreuters.wd5.myworkdayjobs.com/External_Career_Site/job/CAN-Toronto-120-Bremner-Blvd/Applied-Research-Scientist---NLP-ML_JREQ145643-1
Software Engineer - Machine Learning
Sunshine Products
You are an amazing software engineer that loves taking new ideas and algorithms and applying them in creative ways. We are small, fast growing start-up, eager to build meaningful, everyday apps at scale. Our first product is Sunshine Contacts, but we are excited about building so much more with your help.

We believe that AI is transformational, but it hasn’t generally been applied to solve the most practical, everyday problems. We’re utilizing AI to build tools that help people spend less time on mundane tasks and more time on what they find valuable and inspiring.

We are looking for software engineers with strong backgrounds in artificial intelligence and machine learning (PhDs strongly preferred), who thrive in exploring new datasets and ambiguous problem spaces. NLP,  computer vision, deep learning, and even basic classifiers have useful applications on the everyday, practical problems we are tackling.

As an early team member, you should be comfortable working in a fast-paced environment and enjoy applying your experience to new domains to help find fresh ideas. If finding novel, potentially cutting edge, uses of artificial intelligence on everyday problems sounds interesting to you, please consider applying!
Link: https://jobs.lever.co/sunshine/50c9d5c0-9357-4b8f-ac65-a0f5cba72268/apply
2 PhD positions in Dialogue Modelling
Heinrich Heine University
The positions are part of Milica Gasic’ ERC Starting Grant project DYMO. The goal of the project is to develop the next generation of dialogue systems that are dynamically extensible in terms of their knowledge, management and generation.
Link: https://www.cs.hhu.de/en/research-groups/dialog-systems-and-machine-learning/jobs
Research scientists (Jr to Sr) on NLP
Rakuten
The Senior Research Scientist will be working with Research Scientists who are part of Rakuten Institute of Technology (RIT), Boston to collaborate on global projects in a friendly but agile work environment. RIT is the corporate R&D department of the Rakuten group and is responsible for leading strategic technological progress. The Senior Research Scientist should have strong expertise in the fields of Natural Language Processing (NLP) and Machine Learning (ML) and/or in the field of image captioning. The Senior Research Scientist will primarily be tasked with significantly improving existing production systems with AI solutions based on State-of-the-art ML algorithms and Deep Neural Networks with a focus on converting new innovations into high quality conference papers and patents and hosting workshops and data challenges as part of industry tracks in top tier conferences.

Link: https://rakuten.wd1.myworkdayjobs.com/RakutenAmericas/job/Boston-Massachusetts/Senior-Research-Scientist_1005398
Post-Doctoral Researcher
University of Potsdam
Language & Vision, Interaction, Dialogue Systems, Multimodality, Human/Robot Interaction
Link: https://clp.ling.uni-potsdam.de/positions/
Research Scientists and Engineers
DiDi Labs
DiDi Labs in Los Angeles is focused on NLP and speech. Interested in all levels to come work with our highly collaborative team.
Link: https://jobs.lever.co/didi-global/3ac2694b-846b-431b-a62b-93f584534150
Senior Researcher: Multilingual models and MT
Microsoft
We are a team at Microsoft Azure AI with a mission to evolve Microsoft products with the adoption of deep learning multilingual pre-trained models. We are building large scale multilingual language models to enable new capabilities for various products across Microsoft.
We are hiring Researchers on various levels to join us on our exciting journey, come join us.

https://lnkd.in/gzs5nXfA
https://lnkd.in/gqBcNmF7
https://lnkd.in/gnGZ3N6f
Link: https://careers.microsoft.com/us/en/job/1167771/Senior-Researcher
Researchers - Multilingual models and MT -PhD Graduates 2022
Microsoft
We are a team at Microsoft Azure AI with a mission to evolve Microsoft products with the adoption of deep learning multilingual pre-trained models. We are building large scale multilingual language models to enable new capabilities for various products across Microsoft. We are hiring Researchers on various levels to join us on our exciting journey, come join us.
https://lnkd.in/gzs5nXfA
https://lnkd.in/gnGZ3N6f
Link: https://careers.microsoft.com/us/en/job/1128470/Researcher-Full-Time-Opportunities-for-PhD-Graduates
Research Intern: Multilingual models and Machine Translation
Microsoft
This is a remote internship for PhD students at universities in US and Canada only due to COVID restrictions.

The Azure Cognitive Services team is on a mission to advance the state of the art in AI and deliver towards our company vision for how integrative, multilingual and multimodal AI will shape the next phase of innovation. The Cognitive Services team includes top researchers from across Microsoft to create a center of excellence in speech, computer vision and natural language.
We are looking for exceptional interns to work on cutting edge research in various AI areas, including:
Machine Translation, including various aspects of model customization, robustness.
Large Scale Pre-trained models, including multilingual models and its applications for NLU, NLG and MT.

https://careers.microsoft.com/i/us/en/job/1185293/Research-Intern-Azure-AI-Machine-Translation-and-Language-Research
Link: https://careers.microsoft.com/i/us/en/job/1185293/Research-Intern-Azure-AI-Machine-Translation-and-Language-Research
Post-Doctoral Researcher
Saarland University
We have an opening for a postdoc interested in neurosymbolic methods for parsing (syntactic or semantic), dialogue, or NLG.

The position is initially limited to three years and can be extended. It comes with a light teaching load, but is thematically flexible and can be a great way to develop your own research agenda.

See the website for more details.
Link: https://www.coli.uni-saarland.de/~koller/page.php?id=jobs
Post Doctoral Researcher
Data Science Institute, National University of Ireland Galway
The Data Science Institute (DSI) at NUI Galway is inviting applications for the position of postdoctoral researcher for 1 year in the context of the SFI Insight Research Centre for Data Analytics.

This postdoctoral position is in the area of Research Challenge 4 on “Multimodal Data Interpretation” and Research Challenge 5 on “Networked Knowledge” and will focus on the combination of existing natural language processing and linked data technologies. In addition, the project will focus on the use of these technologies to improve NLP for under-resourced languages including for minority and historical languages.
Link: https://www.universityvacancies.com/national-university-ireland-galway/postdoctoral-researcher-natural-language-processing-and-linked
Research Scientist, Language and Vision
Samsung AI Research
Samsung AI Centre in Toronto (Canada) is looking for strong candidates with broad expertise in AI, with specialty in language and vision and ML to join our growing team of researchers. The ideal candidate will have research experience in the use of learning and reasoning techniques to solve problems that require understanding of the visual as well as the linguistic worlds, e.g., image and video captioning, vision and language instruction following, multimodal representation learning, search and retrieval, etc. The candidate will have the opportunity to work with other top researchers across the global AI centres at Samsung, to publish at elite venues, and to have real-world impact.

Samsung AI Centre (SAIC) Toronto is a recently established AI centre, and a key part of Samsung’s global research efforts with centres around the world. SAIC Toronto is in the heart of Toronto, next to the university of Toronto and several key AI research institutes, and at the epicentre of a vibrant AI community. Come join us for a fantastic research career!

Requirements:
- PhD in Computer Science, with an established research program at the intersection of computational linguistics, computer vision, and machine learning.
- Track record of publishing at top venues.
- Strong communication skills.
- Self-motivated and independent,
- Ability to lead a small team of scientists and engineers on projects.
- Expertise in the latest applications of deep learning to multimodal problems.
- Solid technical and programming skills.
Link: None
Senior Data Scientist
LexisNexis Legal & Professional
 ACCOUNTABILITIES:

      Solve some of the most challenging problems in natural language processing, machine learning, and information retrieval including topical classification, legal sentiment analysis, user intent detection, open Q&A.

·       Research, build, and deploy models based on both shallow and deep machine learning. Train robust NLP-based models a very large corpus of legal, regulatory, and news data.

·       Apply machine learning techniques for improving search algorithms.

·       Drive best practices for NLP/Machine Learning pipelines.

·       Maintain current knowledge base of state-of-the-art ML algorithms (BERT, ELMo, GPT, etc.), API's, and open-source methods and be able to quickly evaluate alternatives.

·       Translate complex business requirements into actionable stories with reasonable time estimates.

·       Participate in model reviews with key stakeholders, including stakeholders with limited statistical backgrounds from among that set.

·       Work with product leaders to apply data science solutions.

·       Participate in knowledge sharing sessions (e.g. Guilds and Chapters).

 

DATA SCIENCE AND NLP SKILLS

·       In-depth understanding of machine learning techniques such as classification, clustering, recommendation systems, and statistical models.

·       5+ years’ experience using Machine Learning and associated packages like scikit-learn, pandas, Numpy.

·       Proficiency training large scale models in at least one modern deep learning engine such as Tensorflow, Keras, PyTorch/Torch, MXNet, Caffe/Caffe2

·       3+ years’ experience using NLP tools and methods such as OpenNLP, Stanford NLP, LDA, Gensim, spaCy
Postdoctoral Researcher
University of Stuttgart, Institute for Natural Language Processing
1 postdoctoral researcher, full time (39.5 hours/week) for 1 year (or longer if part-time employment is desired). Background: Computer Science, Machine Learning, Media Informatics, Natural Language Processing, or similar.

Group and project:
The postdoc will work in the interdisciplinary research group E-DELIB (Powering up e-deliberation: towards AI-supported moderation) (https://www.ims.uni-stuttgart.de/en/institute/researchgroups/edelib/) headed by Gabriella Lapesa and funded by the German Ministry of Education and Research.

Turning citizens from voters into decision makers is the signature feature of direct democracy. In this context, the Internet makes it possible for direct democracy to reach out to a larger public, thus favoring emergent collaborative phenomena. E-deliberation is a digitally augmented version of direct democracy, which exploits technological innovations to enable the general public to participate in decisions that are usually made by members of parliaments, city administrations, etc. Participating in such decisions means making concrete proposals, discussing them, and converging on one or more options that can then be voted for or against. E-DELIB aims at developing Natural Language Processing solutions to support e-deliberation. The end product will be a prototype of a NLP moderator for e-deliberation which will help to keep user discussions coherent and goal-oriented. At the same time, its objective is to ensure that every voice is heard and everybody has the chance to contribute t
o decision making.

Tasks of the Postdoctoral:
A. Development of the project data/research infrastructure (main responsibility)
B. Modeling of the moderator actions in deliberation datasets (together with the two doctoral researchers)
C. Interaction with collaboration partners by devising potential strategies for the integration of the moderator prototype in existing platform and design of the evaluation experiments (together with the PI).
Link: https://www.ims.uni-stuttgart.de/en/institute/researchgroups/edelib/
Post-doctoral research
Michigan state university
Natural language processing and machine learning, Integration of symbolic domain knowledge in deep learning. See https://hlr.github.io, also see our demo paper at EMNLP 2021, DomiKnowS: …
Link: http://www.cse.msu.edu/~kordjams/
Part time- Wordpress blog advertisement
Dere 787
Work with identifying keywords to advertise a blog in google, and facebook. The site is a Law-blog designed for law students, lawyers and students interested in Law resources. You will be in charge of advertisement.
Link: None
Senior Scientist, Dialogue Systems
SiriusXM / Pandora
As part of the Foundation, Search, and Voice Science team, you will design and build the next generation of Pandora, SiriusXM, and Stitcher’s voice experiences. Voice enables new personalized content discovery and provides users more control than previously possible across our mobile apps, automotive products, and third-party devices (e.g., Alexa, Google Home, Roku, etc.). You will launch novel experiences, and improve existing ones, by designing algorithms, training models, launching experiments, and analyzing performance. You will join a team of scientists with diverse expertise in machine learning, statistics, natural language understanding, and recommendation systems.

As a Senior Data Scientist you will be an expert in areas spanning speech recognition, natural language processing and understanding, dialog management, personalization, natural language generation, and information retrieval. You will collaborate with scientists, engineers, and product managers to research and invent state-of-the-art solutions in these fields to impact over 100MM listeners. In this role you will proactively communicate and coordinate with cross-functional teams to navigate complex and uncertain environments.
Link: https://jobs.jobvite.com/siriusxm/job/o2Tvgfwq
Lead ML Scientist, Search
SiriusXM / Pandora
As part of the Foundation, Search, and Voice Science team, you will design and build the next generation of Pandora, SiriusXM, and Stitcher’s search experiences. Search is our most common listener interaction after play/pause, and is core to content discovery. You will lead the scientific direction for Search Science and design algorithms, train models/embeddings, launch experiments, and analyze performance to drive ranking quality across our search products (mobile apps, automotive products, and third-party devices). You will join a team of scientists with diverse expertise in machine learning, statistics, natural language understanding, and recommendation systems.

As the lead search scientist, you will be an expert in areas spanning information retrieval, learning to rank, query understanding, document embedding, semantic search, and personalization. You will research and invent state-of-the-art solutions in these fields, drive the scientific roadmap, mentor other scientists, and build experiences that impact over 100MM listeners. In this Staff-level role, you will represent the Science & Machine Learning organization when proactively communicating and coordinating with cross-functional teams.
Link: https://jobs.jobvite.com/siriusxm/job/o9Qyefwv
Wissenschaftliche*n Mitarbeiter*in - NLP (Data Linguist)
Fraunhofer IIS
Sie begeistern sich für Sprache und Mensch-Maschine Interaktion?

Dann sind Sie bei uns richtig!
Unsere Gruppe »Natural Language Processing« fokussiert sich auf die menschliche Interaktion mit Medien und Maschinen mittels natürlicher Sprache. Hierfür kombinieren wir Verfahren aus der (Computer)Linguistik und des maschinellen Lernens.
Bei uns entwickeln Sie digitale Produkte/Services, mit dem Ziel, die Mensch-Maschine Interaktion zu verbessern.

Ihre Aufgaben
- Sie arbeiten in Forschungs- und Industrieprojekten im Bereich Sprachdialogsysteme
- Sie sammeln, kuratieren und analysieren sprachliche Trainingsdaten für Modelle des maschinellen Lernens
- Sie konzipieren und implementieren Lösungen zur natürlichen Sprachverarbeitung (NLP) gemeinsam mit unseren Kunden aus der Industrie
- Sie kommunizieren Projektergebnisse sowohl intern als auch an Industriepartner und im wissenschaftlichen Umfeld
Link: https://recruiting.fraunhofer.de/Vacancies/63036/Description/1
Senior Researcher Natural Language Processing
Fraunhofer IIS
Join us in the exciting world of voice assistants and conversational AI.

As part of our team, you will develop methods for natural language processing in user-centered dialog systems for a variety of tasks and domains. Furthermore, you may integrate and evaluate NLP components of voice assistant prototypes that you helped to develop. You will also communicate and coordinate activities with project partners as well as internal and external stakeholders.
Link: https://recruiting.fraunhofer.de/Vacancies/53926/Description/2
NLP Internship at Snapchat Research
Snapchat
The Computational Social Science team is looking for interns in these research areas:
- NLP
- Computational Social Science
- User behavior modeling
- Graph representation learning and mining

https://lnkd.in/eRhP4Hn
Link: https://lnkd.in/eRhP4Hn
Lead ML Scientist, NLP, Content Understanding, & Recommendation
SiriusXM / Pandora
As a scientist in the Content Science team, you will be building products and services to identify, organize, and recommend music and non-music content to hundreds of millions of Pandora and SiriusXM listeners at scale. You will join a team of scientists with diverse expertise in machine learning, statistics, natural language understanding, and recommendation systems. For this special role, we are looking for a staff machine learning scientist who shares our enthusiasm for music and talk content and will develop cutting edge solutions to create and personalize unique creator-fan experiences and help creators (artists, curators, programmers, podcasters, and others) promote their content effectively across Pandora and SiriusXM reaching an audience of 100 million listeners. You will have expertise in recommendation systems, ranking, or related areas, and use your expertise to research and develop state-of-the-art solutions, shape technical roadmaps, and mentor other scientists in the area.
Link: https://jobs.jobvite.com/siriusxm/job/o5OZffwR
Summer Science Interns
SiriusXM / Pandora / Stitcher
Multiple roles across NLP, NLU, NLG, Search, Information Retrieval, Summarization, Dialogue Systems, and many more!

You'll research machine learning-based solutions for personalization and discovery of music and talk content. You’ll join a team of applied scientists and ML engineers who work on reusable ML components for personalization and recommendation, search ranking and retrieval algorithms, and natural language understanding for dialogue systems. Your ML research will leverage over a hundred billion explicit thumbs from billions of hours of listening, and billions of search/voice queries by hundreds of millions of listeners. Unique to SiriusXM, Pandora, and Stitcher, you'll have extremely rich interlinked music and talk metadata, including annotations of our expert musicologists and talk annotators.

If you are excited by personalization, recommender systems, reinforcement learning, learning-to-rank, embedding-based-retrieval, natural language understanding, dialogue management, come join our team!

Example job postings:
- https://jobs.jobvite.com/siriusxm/job/omFYgfwZ
- https://jobs.jobvite.com/siriusxm/job/ovFYgfw8

If you have other research ideas too, please apply!
Link: https://jobs.jobvite.com/siriusxm/job/omFYgfwZ
AI/ML Engineer
Educational Testing Service Canada Inc.
The AI/ML Engineer develops capabilities required to build personalized adaptive learning technologies that enable effective, efficient, and engaging learning experiences. The AI Engineer will be part of a team that is actively pursuing technology innovation in the personalized adaptive learning technologies space.
Link: https://www.etscanada.ca/pdfs/job_postings/ETS-Canada-Job-Posting-for-AI_ML-Engineer-Open-Rank_COVID-Requirement.pdf
Dialog and Speech Scientist
Educational Testing Service Canada
ETS Educational Testing Service Canada Inc. has an opening for a Dialog and Speech Scientist to work with other research scientists and engineers in areas related to NLP, Speech and Dialog systems. Areas of work include foundational and applied research, infrastructure, and applications driven by user needs in the educational domain.
Link: https://www.etscanada.ca/pdfs/job_postings/ETS-Canada-Job-Posting-for-Dialog-and-Speech-Scientist-Open-Rank_COVID-Requirement.pdf
Research Scientist – Fairness, Equity, Validity and Efficacy
Educational Testing Service Canada
ETS Educational Testing Service Canada Inc. is seeking a Research Scientist to conduct research on fairness, equity and inclusion, or validity and efficacy research, in K-12 and postsecondary learning and assessment. A passion for and commitment to social justice is essential in this role.
Link: https://www.etscanada.ca/pdfs/job_postings/ETS-Canada-Job-Posting-for-Research-Scientist-Fairness-Equity-Validity-and-Efficacy_COVID-Requirement.pdf
Statistical Data Analyst
Educational Testing Service Canada
Assist in performing activities that support the statistical operations and data processing for assigned testing programs. Consult with supervisory staff in the application, modification, and documentation of
such processes. Monitor the completion of tasks identified in the context of processing schedules, including the receipt of critical information from other areas.
Link: https://www.etscanada.ca/pdfs/job_postings/ETS-Canada-Job-Posting-for-Statistical-Data-Analyst_COVID-Requirement.pdf
Research Engineer / Dense Neural Retrieval
Zeta Alpha
We are looking for exceptional researchers and engineers to join Zeta Alpha, an early stage Amsterdam-based high tech startup in AI powered search technology. We make AI systems that empower people to make the best decisions in knowledge intensive environments, and we pioneer the use of machine learning-based NLP models in production search systems. We are looking for people with knowledge of the state-of-the-art neural retrieval, who love to build cool systems for the future of enterprise search.

You have a strong interest in document search, discovery, recommender systems, and NLP. You are able to design, architect, and build maintainable state-of-the-art distributed systems.

While you enjoy having impact with your own engineering work and solving hard technical challenges, you also cherish good team work and succeeding as a group. We are looking for builders, who take responsibility, allow others to develop, and contribute to the company culture and team spirit. If you think this might be your next step, let’s chat.
Link: https://www.zeta-alpha.com/
R&D Engineer
Text IQ
Text IQ is a Top 100 AI company trusted by the world's largest enterprises including Twitter, Honeywell, AstraZeneca, Intel, Boehringer Ingelheim, BASF and Cardinal Health. With a re-imagined approach to identifying, managing and mitigating risk in enterprise data, Text IQ's pioneering AI technology uncovers 90% of sensitive information at a 75% reduction in cost and time. Enterprises, law firms, and government organizations have used Text IQ's AI to identify and protect sensitive and confidential information, reduce risk, elevate their privacy programs, and create fair and inclusive workplaces. Read more about Text IQ on TechCrunch (https://techcrunch.com/2019/06/19/textiq-a-machine-learning-platform-for-parsing-sensitive-corporate-data-raises-12-6m/), Fortune (https://fortune.com/2021/03/30/humans-are-plagued-by-hidden-biases-a-i-can-help/), Forbes (https://www.forbes.com/sites/alexkonrad/2017/02/01/ai-startup-textiq-shaves-millions-off-legal-costs/?sh=2950961c6692), and VentureBeat (https://venturebeat.com/2021/05/28/relativity-acquires-text-iq-to-augment-ai-platform-for-lawyers/).



We're looking for R&D Engineers to join our Engineering Team. At Text IQ, you will dive into your passion for Machine Learning, NLP and jumpstart your career alongside innovators who are revolutionizing AI and its applications.


As R&D Engineer, you will:


- Architect and build our next-generation AI algorithm platform using cutting-edge tools and frameworks

- Design and develop performant, scalable and maintainable AI-powered applications in mission-critical domains

- Solve novel research problems together with best-in-class AI experts
Link: https://www.textiq.com/career?gh_jid=4352311002#hs_cos_wrapper_module_160217510986777
Manager, Data Science, NLP
Thomson Reuters
We are looking for a Manager, Data Science, NLP to join us in London!

Are you excited about working at the forefront of applied research in an industry setting? Thomson Reuters Labs is seeking an experienced Manager, Data Science who can lead and inspire a team of high performing scientists based in London.

What does Thomson Reuters Labs do? We experiment, we build, we deliver. We support the organization and our customers through applied research and development of new products and technologies. TR Labs innovates collaboratively across our core segments in Legal, Tax & Accounting, Government, and Reuters News. We undertake a diverse portfolio of projects today, while investing in long term research for the future.

As a Manager, Data Science in Labs, you will be part of a global interdisciplinary team of experts. We hire specialists across a variety of AI research areas, as well as Engineering and Design, to drive the company’s digital transformation. TR Labs is known for consistently delivering Artificial Intelligence projects that advance the state of the art in support of high growth products and serve Thomson Reuters customers in new and exciting ways.
Link: https://thomsonreuters.wd5.myworkdayjobs.com/External_Career_Site/job/GBR-London-5-Canada-Square/Manager--Data-Science--NLP_JREQ146538
NLP research intern at Rakuten
Rakuten
Rakuten is the one of the largest internet services companies globally and provides more than 70 services spanning eCommerce, finance, telecommunication, sports and much more to approx. 1.4 billion customers worldwide. Rakuten Institute of Technology is the R&D lab of Rakuten group with teams in Tokyo, Boston, San Mateo, Paris, Singapore and Bangalore and is in charge of the “core science” part of Rakuten AI platform programs.

The Language program, which is one of our core science programs, aims to understand and process e-Com texts (e.g., products’ titles, descriptions, and user-reviews) using advanced natural language processing (NLP) and machine learning. We are working on the areas such as estimating product attributes for large-scale item datasets for enriching catalogs, building a highly-accurate item classification for supporting more pleasant shopping, linking products across e-Com platforms using items’ text descriptions, and other applications to automate and process the huge amounts of text data in Rakuten's businesses.

We are looking for 3-month internship students with a background in the field of natural language processing, data mining, and machine learning. During this internship, students will be paired with a mentor and work on one of our relevant research topics.

The projects this year are in the domains of

- NLU on items: learning (weakly/semi-/unsupervised learning) from large text data sets, to uncover structural information, i.e., categories, attributes and corresponding values,
- NLG on items: generating texts that can help shoppers, e.g., concise titles fitting for mobile display interface, from items’ descriptions

Requirements:
- Graduate student in NLP/Data Mining/Machine Learning
- Enjoy coding, fluent in Python or other languages, familiarity with a deep learning framework

Beneficial:
- Publication record
- Track record of research projects, competitions or code contributions
Applied Scientists
AWS
See job link.
Link: https://www.amazon.jobs/en/jobs/1559706/applied-scientist-aws-ai
Computational Linguist / Machine Learning Scientist
3M
We are looking for a scientist with a strong foundation in NLU and ML and ideally experience in summarization of conversations like meetings or between doctors and patients.

This is a full time position in a research team at 3M | HIS / M*Modal focusing on research of methods to help physicians with the documentation workflow while they see patients.
Link: https://3m.wd1.myworkdayjobs.com/Search/job/US-Pennsylvania-PITTSBURGH/XMLNAME-3M-HIS-Computational-Linguist---Machine-Learning-Scientist_R01051237
Applied Scientists - AWS Comprehend
AWS Comprehend
See job description.
Link: https://www.amazon.jobs/en/jobs/1453867/applied-scientist-aws-ai
ML Engineer
Speak
**Our mission at Speak is to teach the next billion people how to speak English.**

We believe that automatic speech recognition and NLP will transform how people learn English.

## About this role
We are looking for a passionate and experienced software engineer versed in building and deploying ML systems efficiently at scale. This is a very special opportunity for the right engineer to work on enormously impactful problems with clear solutions powered by real-world deep learning. As one of the first hires into the ML team, you will have a great latitude in shaping the direction of the ML roadmap and the infrastructural decisions.

**What is the role?**

- Take ownership of productionalizing, optimizing, and scaling of machine learning systems to power speech and NLP-based product features.
- Build device-based machine learning tooling to efficiently deploy on-device models and unlock new product features.
- Work on building a robust ML infrastructure that accelerates ML team output and enables continuous improvement - orchestration of pipelines, model versioning, data versioning, model monitoring, model serving etc.
- Bring in the best software engineering practices to a growing ML organization.
- You have 5+ years of software engineering with versatile experience in ML systems.
- You obsess about SLAs.
- Proficiency in programming languages and libraries that enable efficient server-side deployments.
- You have acquired best practices to lead the team towards building a robust ML infrastructure.
- Experience in building ML products using cloud-based platforms.
- Solid machine learning background and familiarity with standard speech, NLP, and machine learning techniques with experience with at least one major deep learning framework.
- Autoscaling, containers, performance tuning and optimization
Link: https://speak.com/ml
Research Intern
Text IQ
Text IQ is a Top 100 AI company trusted by the world's largest enterprises including Twitter, Honeywell, AstraZeneca, Intel, Boehringer Ingelheim, BASF and Cardinal Health. With a re-imagined approach to identifying, managing and mitigating risk in enterprise data, Text IQ's pioneering AI technology uncovers 90% of sensitive information at a 75% reduction in cost and time. Enterprises, law firms, and government organizations have used Text IQ's AI to identify and protect sensitive and confidential information, reduce risk, elevate their privacy programs, and create fair and inclusive workplaces. Read more about Text IQ on TechCrunch (https://techcrunch.com/2019/06/19/textiq-a-machine-learning-platform-for-parsing-sensitive-corporate-data-raises-12-6m/), Fortune (https://fortune.com/2021/03/30/humans-are-plagued-by-hidden-biases-a-i-can-help/), Forbes (https://www.forbes.com/sites/alexkonrad/2017/02/01/ai-startup-textiq-shaves-millions-off-legal-costs/?sh=2950961c6692), and VentureBeat (https://venturebeat.com/2021/05/28/relativity-acquires-text-iq-to-augment-ai-platform-for-lawyers/).


Text IQ's R&D team is looking for research intern to work on Machine Learning & Natural Language Processing based problems.
Link: https://textiq.com
Applied Scientist
Text IQ
Text IQ is a Top 100 AI company trusted by the world's largest enterprises including Twitter, Honeywell, AstraZeneca, Intel, Boehringer Ingelheim, BASF and Cardinal Health. With a re-imagined approach to identifying, managing and mitigating risk in enterprise data, Text IQ's pioneering AI technology uncovers 90% of sensitive information at a 75% reduction in cost and time. Enterprises, law firms, and government organizations have used Text IQ's AI to identify and protect sensitive and confidential information, reduce risk, elevate their privacy programs, and create fair and inclusive workplaces. Read more about Text IQ on TechCrunch (https://techcrunch.com/2019/06/19/textiq-a-machine-learning-platform-for-parsing-sensitive-corporate-data-raises-12-6m/), Fortune (https://fortune.com/2021/03/30/humans-are-plagued-by-hidden-biases-a-i-can-help/), Forbes (https://www.forbes.com/sites/alexkonrad/2017/02/01/ai-startup-textiq-shaves-millions-off-legal-costs/?sh=2950961c6692), and VentureBeat (https://venturebeat.com/2021/05/28/relativity-acquires-text-iq-to-augment-ai-platform-for-lawyers/).

Text IQ's R&D team is looking for applied scientists to work on Machine Learning & Natural Language Processing based problems.
Link: https://www.textiq.com/career?gh_jid=4352311002#hs_cos_wrapper_module_160217510986777
Fully-Funded Post-Doc / PhD
HPI AI and Intelligent Systems Group
Fully-Funded Post-Doc / PhD opportunities in the Berlin area in Germany
http://deepdata.demelo.org/join/
Feel free to reach out to Gerard de Melo for further
details.

Link: http://deepdata.demelo.org/join/
Machine Learning Engineer
Amplyfi
We are global pioneers in machine enhanced research and insight analysis, drawing on technological, academic, financial & business expertise to power global decision making. You'll be working on interesting information extraction and information analysis problems.


Essential qualifications:
Experience with Deep learning and Machine Learning frameworks (e.g. PyTorch, Tensorflow, Spacy)
Experience in Information Extraction (Relation Extraction, Entity Linking etc.)
Experience in Natural Language Understanding.
Proficient in Python.
Excellent written & verbal communication skills.

Desired experience:
Knowledge Graph
ElasticSearch
Cloud Platform experience
Link: https://amplyfi.com/upload-your-cv/
Analytical Linguist
Grammarly
Grammarly empowers people to thrive and connect, whenever and wherever they communicate. Every day, 30 million people and 30,000 teams around the world use our AI-powered writing assistant. All of this begins with our team collaborating in a values-driven and learning-oriented environment.

To achieve our ambitious goals, we’re looking for a full-time Analytical Linguist to join our Natural Language Processing (NLP) team. 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.

SF posting: https://www.grammarly.com/jobs/product/analytical-linguist?gh_jid=3248243
Link: https://www.grammarly.com/jobs/product/analytical-linguist?gh_jid=3239984
Manager, Data Scientist, NLP
Capital One
Build machine learning and NLP models through all phases of development, from design through training, evaluation and validation, and partner with engineering teams to operationalize them in scalable and resilient production systems that serve 50+ million customers.
Partner closely with a variety of business and product teams across Capital One to conduct the experiments that guide improvements to customer experiences and business outcomes in domains like marketing, servicing and fraud prevention.
Write software (Python, Scala, e.g.) to collect, explore, visualize and analyze numerical and textual data (billions of customer transactions, clicks, payments, etc.) using tools like Spark and AWS.
Link: None
Research Scientist
Meta
FAIR’s mission is to advance the state-of-the-art in artificial intelligence through open research for the benefit of all. As part of this mission, the goal of the Universal Speech Translator  team is to provide real-time, natural-sounding translations at near-human level quality. The technology we develop will make multimedia content accessible to people in their own language and enable multilingual live communication in the metaverse. We aim for our technology to be inclusive: it should support both written and unwritten languages. Finally, in order to preserve the authenticity of the original content, especially for more creativity related content, we aim to preserve some aspects of prosody in the generated audio translations.
Link: https://www.facebookcareers.com/jobs/292208212480731/
Postdoctoral Researcher
Meta
FAIR's mission is to advance the state-of-the-art in artificial intelligence through open research for the benefit of all. As part of this mission, the goal of the Universal Speech Translator  team is to provide real-time, natural-sounding translations at near-human level quality. The technology we develop will make multimedia content accessible to people in their own language and enable multilingual live communication in the metaverse. We aim for our technology to be inclusive: it should support both written and unwritten languages. Finally, in order to preserve the authenticity of the original content, especially for more creativity related content, we aim to preserve some aspects of prosody in the generated audio translations.
Link: https://www.facebookcareers.com/jobs/294746435676339/
Research Scientist
Meta
FAIR’s mission is to advance the state-of-the-art in artificial intelligence through open research for the benefit of all. As part of this mission, the goal of the Universal Speech Translator  team is to provide real-time, natural-sounding translations at near-human level quality. The technology we develop will make multimedia content accessible to people in their own language and enable multilingual live communication in the metaverse. We aim for our technology to be inclusive: it should support both written and unwritten languages. Finally, in order to preserve the authenticity of the original content, especially for more creativity related content, we aim to preserve some aspects of prosody in the generated audio translations.
Link: https://www.facebookcareers.com/jobs/500751954278204/
Post-doctoral position in conversational agents, coreference and reference
Queen Mary University of London
This is a pre-announcement that a postdoctoral researcher position full time for up to 3 years in our lab will be available from 1st of February 2022 to work on conversational agents able to interact with players in games and to interpret coreference and reference. We are looking for candidates with a PhD in conversational agents, machine learning, or natural language processing. The post-doc will work with Massimo Poesio, Julian Hough, Diego Perez-Llebana, and Matt Purver in the Computational Linguistics Lab at Queen Mary University of London (http://compling.eecs.qmul.ac.uk/) and Richard Bartle, Jon Chamberlain, and Juntao Yu at the University of Essex.
Link: http://www.massimopoesio.org
Machine Learning Engineer
EQT
Join us disrupting the private capital market! We have a range of NLP and ML models in production impacting investment decisions everyday. From venture capital to private equity.
Link: https://eqt.teamtailor.com/jobs/1097319-machine-learning-engineer-motherbrain
Applied Scientist / Applied Scientist / ML Engineer (all levels)
Amazon Alexa AI
Alexa AI is looking for talent in a variety of roles including Applied Science Manager, Senior Applied Scientist, Applied Scientist, and Machine Learning Engineer. If you have experience in designing and building ML models and systems, and you are interested in these topics to push the state-of-the-art in conversational AI systems together, please let me know. Just a partial list of high-level topics - natural/spoken language understanding, ranking and relevance, search, ad ranking, recommender systems, explainable AI, large-scale representation learning, common sense reasoning, and many more.
Research intern
Amazon Alexa AI
Alexa AI is looking for research interns in NLP/NLU for 2022. If you are interested in these topics to push the state-of-the-art in conversational AI systems together, please let me know. Just a partial list of high-level topics - natural/spoken language understanding, ranking and relevance, search, dialog, ad ranking, recommender systems, explainable AI, large-scale representation learning, common sense reasoning, and many more.
Applied Research Scientist
Grammarly
We’re looking for an Applied Research Scientist to join our Engineering team. In this role, you’ll be able to bring state-of-the-art research into Grammarly and advance the state of the art by finding new solutions for problems that have never been solved before. Our team is thinking big-picture about the state of NLP and opportunities to help people communicate more effectively. This requires writing production code to bring machine learning models, including deep learning models, efficiently into production.
Link: https://www.grammarly.com/jobs/engineering/applied-research-scientist?gh_jid=2392187
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