Jobs Posted on the Whova Community Board of NAACL 2021 Annual Conference of the North American Chapter of Computational Linguistics
If you know anyone in the job market, feel free to share with them
Adobe Adobe Research, India is looking to hire outstanding researchers in the following areas:
Natural Language Processing Natural Language Generation Multimodal Content Understanding & Generation Human Computer Interaction and User Experience research Image and Video Synthesis Image, Audio, Video and Multi-Modal Data Processing Autonomic Systems and Computing
Job responsibilities will include inventing, designing, developing and prototyping AI discoveries; shaping these into innovative cutting edge technologies for Adobe's products; identifying new research areas; publishing in top journals and conferences; and collaborating with colleagues at top universities around the world.
If interested, you can apply through the link (https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Bangalore/Research-Scientist_R106344-1) or DM me.
PhD candidate Evaluating personalized conversations with chatbots in customer service
Tilburg university We offer a fully funded, 4-year project in which the candidate will design and evaluate personalized conversational AI (chatbots) in a customer service setting. In this project knowledge will be obtained on the effects of various technical, visual, and textual chatbot designs to personalize chatbot conversations on objective (e.g., the success rate of conversations), and subjective measures (e.g., customers’ experience).
Deadline: June 11, Amsterdam time.
Senior NLP Engineer (f/m/x)
deepset 5+ years experience | Cutting-edge NLP Models for QA
As a Senior NLP Engineer (m/f/x) at deepset you will work on the frontier of Machine Learning and craft cutting-edge NLP models building upon latest research and open-source code. Besides improving our open-source frameworks (FARM, haystack), you will help shaping German search systems by designing datasets and training latest models like Dense Passage Retrieval or Transformer based Question Answering.
Research manager, staff researcher, or senior researcher
Rasa Rasa is looking for experienced researchers with a proven track record to help us build the standard infrastructure layer for conversational AI. Research is a big part of what we do, and our rapidly growing team has strong roots in the NLP/ ML academic community (https://rasa.com/research/).
The ad below is for a research manager, but if you're interested in a role as a staff or senior researcher, then we absolutely want to talk to you.
Johns Hopkins University HLTCOE The Human Language Technology Center of Excellence (HLTCOE) at Johns Hopkins University seeks to hire outstanding senior and junior researchers in all areas of speech and language processing. Located adjacent to Johns Hopkins’ beautiful Homewood campus in Baltimore, Maryland, the HLTCOE conducts long-term and applied research on fundamental application-driven challenges. Its staff scientists publish widely in premier venues, and, through close collaboration with members of the Center for Language and Speech Processing (CLSP), make Johns Hopkins one of the world’s largest and growing academic research groups in the field.
A good candidate will have a strong general background and publishing experience in one or more of the following tasks:
– Characterizing Communicants – Information Extraction – Information Retrieval – Machine Learning – Machine Translation – Multi-Lingual Algorithms – Parsing and Tagging – Speaker and Language Identification – Speech Recognition – Spoken Language Applications
Applicants should hold a Ph.D or a master’s degree (with commensurate experience) in computer science, electrical engineering, linguistics, cognitive science, or a closely related field. U.S. citizenship is required
In addition to excellent medical, dental and vision insurance, JHU has a variety of other generous benefits* including:
50% tuition grants for employee’s children enrolled in any full-time, accredited, undergraduate, degree-granting institution; Up to $17,000 towards the closing cost of new home in Baltimore City and; University-made contributions of 12% of your base salary into your JHU 403(b) retirement plan. *For more detailed information regarding benefits, please visit:
To apply, please visit https://apply.interfolio.com/39944
Post doctoral researcher
Michigan State University I am looking for a post-doctoral researcher in Natural Language processing, Machine Learning, Combining vision & Language, Deep Structured Output Learning. In my group we are working on problems related to Information Extraction, Question Answering, Visual Question answering, Procedural reasoning and the focus has been to solve the challenges by exploiting the domain knowledge, structural information, constraints and symbolic representations in Deep Neural Networks. The interested candidates can Email their C.V. to me at (firstname.lastname@example.org). Here is the link to my research lab: (https://hlr.github.io).
University of Zurich I'm hiring a post-doctoral researcher at the Department of Computational Linguistics at the University of Zurich for up to 2 years.
You will join a research project that focuses on transfer learning across tasks and languages, and more generally on low-resource NLP tasks and/or languages. You will have some freedom to choose interesting tasks and develop your own approach, but will also be collaborating closely with others (primarily me and my PhD students), and you will have other opportunities to interact with the text technology group at the University of Zurich.
See link for more details.
Post-doctoral research fellow
Boston Children's Hospital/Harvard Medical School The Machine Learning for Medical Language Lab at Boston Children’s Hospital and Harvard Medical School is seeking post-doctoral research fellows to contribute to cutting edge research in the field of clinical natural language processing. The Research Fellow will be expected to participate in international conferences and publish conference and journal papers, to propose new directions and projects, assist in preparing research proposals, and interact with graduate and undergraduate students.
We extend the state of the art in NLP to tackle important medical research problems like classifying congenital heart disease phenotypes, predicting readmission of psychiatric patients, understanding post-COVID-19 syndrome, and detecting adverse events in medical devices.
AI Engineer - Machine Learning / Information Retrieval
University of Amsterdam We are looking for a research engineer with a strong skillset in machine learning and information retrieval to help us with the engineering of heavy areas of our research. Examples are collecting and maintaining large datasets, efficiently implementing ML models for search and recommendation, productionizing models in cloud environments, setting up compute infrastructure for experimentation, and building demonstrators for our research. You will work in close collaboration with our researchers, postdoctoral researchers, PhD students and industry partners, and be a vital part in proving the practical applicability of our research results, upholding good engineering practices, and making sure that our research software is robust and efficient.
Machine Learning Engineer
Abridge From transcribing medical parts of a doctor-patient conversations to delivering key takeaways, our trailblazing work in machine learning research makes the Abridge experience possible. We're currently looking to add a machine learning engineer to our team to help us build and release more machine learning-powered value to our users.
What You'll Do: Architect, design, and implement high-quality machine learning software applications, infrastructure, and tools. Collaborate with machine learning researchers and engineers to implement and deploy algorithms, such as machine learning models. Work with stakeholders across machine learning and operations teams to iterate on systems design and implementation. Create re-usable software and systems to accelerate development. Profile, tune, and optimize system performance and debug production issues. Maintain high standards by participating in reviews, designing for fault tolerance, and creating continuous improvement mechanisms.
Ideally, You Have: Experience in one or more relevant technical areas: natural language processing, machine learning, distributed systems, or building infrastructure for engineering/science users. Expertise in machine learning toolchains and techniques, such as Pytorch or Tensorflow. Demonstrated experience incubating and productionizing new technology, working closely with research scientists and technical teams from idea generation through implementation.
Research Scientist, NLP
Abridge From transcribing medical parts of doctor-patient conversations to delivering key takeaways, our trailblazing work in machine learning research makes the Abridge experience possible. We're currently looking for a research scientist with experience in natural language processing to help us strengthen and expand our medical conversation understanding capabilities.
What You'll Do: Conduct research to advance state of the art on information extraction and summarization related natural language processing tasks Utilize that research to develop and deploy scalable neural network models into production Actively contribute to the wider research community by sharing and publishing your findings Be results-oriented in the face of ambiguous problems and uncertain outcomes
Who You Are: Graduate degree (MS or PhD) in Electrical Engineering, Computer Sciences, Mathematics, or similar with specialization in natural language processing or machine learning 3+ years experience in building NLP systems Strong programming skills with proven experience crafting, prototyping, and delivering machine learning solutions Experience with one or more deep learning libraries and platforms (e.g., TensorFlow, Caffe, Chainer, or PyTorch)
Ideally, you have: Expertise in various facets of ML and NLP, such as conversational dialogue systems, classification, information extraction, semi-supervised learning, and topic modeling A passion for making ML methods robust and scalable
Research Scientist, Speech Recognition
Abridge From transcribing medical parts of doctor-patient conversations to delivering key takeaways, our trailblazing work in machine learning research makes the Abridge experience possible. We're currently looking for a research scientist with experience in speech recognition to help us improve the performance and robustness of our transcription modules.
What You'll Do: Research and implement speech recognition algorithms and methods Create language models from large corpora of medical text data Perform data preprocessing and define performance measures based on development and test sets Implement and improve tools, algorithms, and prototypes Be responsible for measuring and optimizing the quality of your algorithms
Who You Are: Graduate degree (MS or PhD) in Electrical Engineering, Computer Sciences, Mathematics, or similar with specialization in speech recognition or machine learning 2+ years experience in building speech recognition systems Deep knowledge of ASR technologies such as acoustic modeling, language modeling, neural networks, HMM, WFST, and feature extraction Hands-on experience in ASR tool kits such as Sphinx, Kaldi, HTK, or Julius
Ideally, You Have: Research work or publications pertaining to applying deep learning methods to speech recognition Deep fluency in academic fields relevant to speech recognition
Data Evangelist at Toloka
Yandex Toloka is one of the world's largest crowdsourcing platforms for collecting and labeling large amounts of data for machine learning projects, ultimately solving a variety of problems for businesses. The data labeled on the platform is used to drive computer vision, speech recognition, search algorithms, recommendation systems, and more. Toloka is a key tool for major IT companies globally. We are looking for an experienced data evangelist with a passion for data science and a talent for distilling technical concepts into clear, concise, and engaging content. Since your audience will be ML engineers, developers, data engineers, and other tech professionals, your content will need to resonate with them. Responsibilities:
- build examples and blog posts showing how to solve common problems using our technology; - engage in conversations on GitHub, on Slack, and in user community meetups as well as at industry and academic conferences, roadshows, boot camps, hackathons, lectures, and elsewhere; - run community events; - develop programs to engage customers in the broader community; - participate in educational activities; - listen to and document DS or MLE needs, problems, and success factors; - act as a key resource for data scientists and MLEs, facilitate product adoption; - provide strategic recommendations for engineering, product, research, and marketing teams to help prioritize company direction and the product roadmap; - participate in product development so you’re in touch with our product, market, and communities; - manage, analyze, and report progress on various evangelism initiatives.
Verneek Do you want to be part of the core team for building the next one-of-a-kind tech companies that can potentially change your career's trajectory?! We are striving to build the future of decision-making at Verneek. Come join us!
If you are fed up with how little impact you are making at your current job despite all the hard work, if you are bored with your corporate job where you cannot learn or innovate anymore, or if you are simply not satisfied with your academic AI ambitions anymore, Verneek could be a perfect opportunity for you: a new deep-tech AI startup, where you'd get to learn, innovate, and leave your mark every single day.
We are looking for a stellar & highly ambitious AI/NLP researcher as one of the first employees to help build complex AI/NLP models supporting the Verneek AI platform! You'll get to work on fundamental AI research problems, but all grounded within the scope of our particular AI platform. It'll be all much more rewarding and influential than working on narrow AI benchmarks! :)
Machine Learning Engineer
Verneek Do you want to be part of the core team for building the next one-of-a-kind tech companies that can potentially change your career's trajectory?! We are striving to build the future of decision-making at Verneek. Come join us!
If you are fed up with how little impact you are making at your current job despite all the hard work, if you are bored with your job where you cannot learn or innovate anymore, Verneek could be a perfect opportunity for you: a new deep-tech AI startup, where you'd get to learn, innovate, and leave your mark every single day.
We are looking for a stellar & highly ambitious machine learning engineer as one of the first employees to help build complex AI/NLP models supporting the Verneek AI platform! You'll get to work on fundamental AI research problems, but all grounded within the scope of our particular AI platform. It'll be all much more rewarding and influential than working on narrow AI benchmarks! :)
Every day, you'll get to solve very unique, highly complex, and socially impactful problems. This is an early-stage startup, so we'll be moving super-fast and there will be no legacy obstacles on your way to make a significant impact. Whatever you do every hour of every day counts!!
Postdoctoral Researcher: conversational AI / language/dialogue & vision
University of Potsdam, Germany Postdoctoral researcher position, conversational AI / language & vision / human-robot interaction / spoken dialogue systems
AWS Amazon is looking for a passionate, talented, and inventive Applied Scientists with a strong machine learning background to help build industry-leading Speech and Language technology.
Our mission is to provide a delightful experience to Amazon’s customers by pushing the envelope in Automatic Speech Recognition (ASR), Machine Translation (MT), Natural Language Understanding (NLU), and Machine Learning (ML).
As part of our AI team in Amazon AWS, you will work alongside internationally recognized experts to develop novel algorithms and modeling techniques to advance the state-of-the-art in human language technology. Your work will directly impact millions of our customers in the form of products and services that make use of speech and language technology. You will gain hands on experience with Amazon’s heterogeneous speech, text, and structured data sources, and large-scale computing resources to accelerate advances in spoken language understanding.
Co-founder / Chief Scientist / NLP researcher
KLOA KLOA is a startup at the Univ of Washington tech incubator. We seek a talented NLP researcher to establish a new AI/NLP team.
Kloa works at the intersection of human-computer interaction (HCI) and NLP for mobile. We’ve developed a new 10-button predictive typing interface. BIG buttons and accurate language prediction make touchscreen typing a breeze. Commercialization opportunities include messaging and mobile content creation.
We seek deeper expertise in language modeling for context-sensitive prediction, in particular multimodal modeling of image/text data and lexical grounding. Tasks include new research, LM development, 1 to 3 industry publications per year (ACL/EMNLP/NeurIPS), competition for NSF SBIR/STTR grants, recruitment, and building/mentoring a team.
A competitive applicant holds a Master’s or PhD degree in the field of deep learning for language or vision. Students in the final year of their PhD are eligible. Industry or post-grad academic experience is a bonus. Ties to academic institutions or industry groups are attractive. Members of demographics underrepresented in the field are especially encouraged to apply.
KLOA offers an opportunity to build and lead a new AI/NLP research team. KLOA has a competitive patent position in its field and unique knowledge of HCI for mobile text input. We are currently competing for investor funding. The opportunity includes competitive salary, equity, and unique work experience.
For more info, reply here or to the email address below.
Postdoctoral Fellow in Scholarly Document Information Extraction
National University of Singapore A postdoctoral fellow position is available in the Department of Computer Science at the National University of Singapore?s School of Computing, starting immediately. For this role, our Web, IR / NLP Group (WING) is primarily interested in developing and applying current deep learning approaches to scholarly documents to extract, visualize, recommend and summarize scholarly documents (such as journal articles, conference submissions and pre-prints).
The research program at the School of Computing at NUS has strong expertise and track record in Natural Language Processing, Information Retrieval and Digital Libraries research, where state-of-the-art approaches to current neural-based NLP are integrated with corpus analysis to achieve the next generation of scholarly communication research.
The post-doc will join a vibrant team of researchers and receive close mentorship for developing an independent teaching or research career as well as team science. We are recruiting for a research programme that will create widely applicable scholarly processing tools to help discipline-specific scholars better utilize, understand, predict and summarize the literature in their respective fields.
These projects involve large-scale data resources, computational infrastructure and open source tools and open access publications. There is ample project flexibility depending on applicant interests. We seek to publish in computer science conferences as well as to develop toolkits that general scholars beyond the domain of computer science can apply on scholarly works of their own domain?s interests. There are also opportunities for applicants to lead projects and to mentor Ph.D., MS, and talented undergraduate students and exceptional international interns.
Associate Research Scientist in Machine Learning and Natural Language Processing
UKP Lab, Technical University of Darmstadt The Ubiquitous Knowledge Processing (UKP) Lab at the Department of Computer Science, Technische Universität (TU) Darmstadt, Germany has several openings for an
Associate Research Scientist (PostDoc- or PhD-level; for an initial term of two to three years, depending on the project)
We are looking to strengthen the lab’s profile in several areas of Machine Learning (ML) and Natural Language Processing (NLP). Potential topics include but are not limited to (i) representation learning and commonsense reasoning, and (ii) ML and NLP for clinical psychology and psychiatry. The latter is a new research focus of the lab, for which we are currently building a team closely interacting with experts from psychology and psychiatry. We work with text and increasingly with multimodal content. Along with research results, we continuously release novel datasets and scalable NLP frameworks widely used in the community, such as S-BERT or AdapterHub.
We are looking for outstanding PhD and postdoc candidates with a strong profile in Machine Learning, Natural Language Processing or Text Mining. Prior experience with relevant areas of NLP and Machine Learning and strong engineering skills are a plus. We highly appreciate demonstrable engagement in open-source projects, communication skills in English and the ability to effectively cooperate with scientists of various interdisciplinary backgrounds.
Research Assistants/PhD positions NLP Third Wave of AI (3AI)
UKP Lab, Technical University of Darmstadt The Ubiquitous Knowledge Processing (UKP) Lab at the Department of Computer Science, Technische Universität (TU) Darmstadt, Germany has several openings for Research Assistants/PhD positions.
Within 3AI, we aim at developing the next generation of AI systems. Pushing the limits of hybrid and neuro-symbolic AI, these AI systems will acquire human-like communication and thinking abilities, recognize and classify new situations, and adapt to them autonomously.
Through 3AI, the systemic and algorithmic foundations of what we call “Systems AI” will be developed. Akin to Systems Biology, interactions of different AI building blocks will be mathematically and algorithmically correctly captured, understood, and used, and new methods of system design, e.g., software engineering or data management for Systems AI, will be explored.
Possible research questions include:
How to bring together separated AI regimes such as low-level perception & high-level reasoning? How to represent and interface the what & how of AI computations? How to deal with uncertainty & incompleteness, when modelling and within the models? How to achieve a large & diverse coverage of (novel) AI algorithms? How to rapidly/automatically combine, deploy, and maintain existing AI algorithms and representation? How to rethink software & systems design for complex AI systems?
Senior Data Scientist
Private AI Job Description
You will be working closely with our team to continuously improve our multilingual text de-identification models. This will include investigating and comparing new state-of-the-art models as they are released, analyzing failure modes of the current system and other existing SOTA models, optimizing models for efficient runtime, working on data synthesis models and assisted labeling techniques, and troubleshooting failures reported by customers. You will also get a chance to learn about developing ML models for low-resource environments – a niche and very sought after skill set.
Why this job is awesome
Private AI is a Toronto- and Berlin-based startup backed by top investors in New York and San Francisco and you’ll be getting in on the ground floor as we grow. You’ll be a core member of the team and have a big say in how things are done. You’ll get to travel (if desired) and have flexibility to work remotely. We’re affiliated with the University of Toronto, and you’ll get to work with some of the best & brightest minds in the field. One of our team members was part of the team that first brought Deep Learning to speech recognition in 2009. Another was responsible for some of the first Neural Networks to be implemented in assisted driving applications. You will be focused on doing one thing really, really well. This is different to the typical ‘spend a couple of weeks and get it out the door’ mentality that ML teams often operate under. That means we have time to optimize and incorporate the latest SOTA techniques.
- Strong understanding of & experience with transformer models. - Experience using PyTorch & popular NLP libraries such as FairSeq, AllenNLP, HuggingFace or SpaCy. - Comfortable with general ML & NLP theory, particularly surrounding Neural Networks. - Minimum 2 years of work experience in NLP.
Full posting: https://www.linkedin.com/jobs/view/2581460613/
MSc/PhD student, Postdoc positions
University of Alberta Hi all, I am recruiting MSc and PhD students, as well as postdocs at the University of Alberta. The Alberta Machine Learning Institute (Amii) is one of the AI centers in Canada. My research interest is mainly in text generation and reasoning for natural language understanding, typically involving reinforcement learning, structure prediction and other machine learning techniques.
If you're interested, please don't hesitate to send an email (with your CV) to email@example.com
Dataminr: Full-time and Intern Positions!!
Dataminr Dataminr is the leading AI platform for real-time event and risk detection. The company’s clients are the first to know about high-impact events and emerging risks so they can mitigate and manage crises more effectively. Dataminr solutions are relied on 24/7 by hundreds of clients in over 75 countries to help them solve real-world problems. Dataminr is one of New York's top private technology companies, with nearly 650 employees across seven global offices.
We research such NLP tasks as summarization, social media analysis, multimodality, knowledge graphs, text generation, multilinguality, and event extraction, among others.
We have full-time scientist, engineer and leadership positions open, as well as research internships for any time during the year.
Send a note if you want to learn more and you can see the full list of open positions via the URL below.
AI Engineer - NLP/chatbots
Mainstay (formerly known as AdmitHub) Hey there! We're a startup in Boston, MA of about 80 people, and we build SMS chatbots for colleges to give to their students. We're expanding to do more. It's a super chill company.
We're hiring an AI engineer to help with the engineering and research behind the chatbots. Let me know if you're interested!
Research Fellow (Postdoc)
National University of Singapore Description:
The Natural Language Processing Group at the National University of Singapore invites applications for a Research Fellow (Postdoc) position in the Department of Computer Science, School of Computing, on the topic of grammatical error correction. The initial appointment is for a period of one year, with possible extension for subsequent years.
The candidate should possess a PhD degree in computer science or a related discipline, and a strong publication record in natural language processing, machine learning, or related areas. Strong programming skills and good command of English (both spoken and written) are also required.
Interested candidates should apply with a cover letter, CV, degree certificates, academic transcripts, names and email addresses of 3 referees. Application materials should be sent to Professor Hwee Tou Ng (firstname.lastname@example.org).
postdoc at University of Pennsylvania
University of Pennsylvania We are looking to recruit an NLP postdoc to work with us studying the history of agency. The aim is to identify and assess the frequency of beliefs in the power of human agency (i.e., Efficacy, Optimism, and Imagination) across history, particularly American History over the last 300 years, with a special focus on gender and race, and to examine the relationship between these beliefs and societal progress. Challenging, but fun! - Marty Seligman and Lyle Ungar
RWS The role will entail working alongside a friendly team of experienced researchers to develop Machine Translation and Artificial Intelligence products and services. We have our own mature state-of-the-art R&D environment and are looking for able researchers to extend it.
PhD or equivalent experience in computer science, engineering, statistics, machine learning, mathematics, or in another highly quantitative field
Depth and breadth in state-of-the-art approaches in Machine Translation and Natural Language Processing
2+ years of relevant academic research or industry experience
Scientific mindset and the ability to invent
Excellent creative problem solving skills
Ability to design and develop system prototypes in simulation
Superior communication and data presentation skills
Effective working in a team environment
Superior communication and data presentation skills
Demonstrated ability to lead research projects and identify fruitful research directions
Demonstrated ability to work on cross-functional teams
AWS AI, Amazon Interested in Dialog Systems/Interactive Question & Answering and other NLP tasks such as, entity extraction, structured prediction, multi-task learning, transfer learning, etc? We are hiring Applied/ML scientists in AWS AI, Palo Alto. As part of our AI team in Amazon AWS, you will work alongside internationally recognized experts to develop novel algorithms and modeling techniques to advance the state-of-the-art in human language technology. Your work will directly impact millions of our customers in the form of products and services that make use of language technology.
Inclusive Team Culture Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences.
Work/Life Balance Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.
Mentorship & Career Growth Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.
NLP Engineer / Scientist
Posh Technologies At Posh, we're developing and continually iterating on ML/NLP models for abstract language modeling, intent recognition, semantic search, and more. If you're interested in exploring the bleeding-edge of NLP, and ultimately productizing models for a truly superior end-user experience, let's chat!
This role may be a good fit if you have some of the following:
Academic or equivalent industry background in ML and/or NLP research Experience with machine learning and data-science libraries such as numpy, scikit-learn, TensorFlow, PyTorch, or similar Comfort working in Python A passion for writing clean, well-designed code Enjoy staying up-to-date with relevant state-of-the-art literature in the field Exposure to systems engineering and production trade-offs Background in software engineering roles (bonus) You’ll be joining a team with the following attributes:
Positive and team-oriented attitude Flexible and creative mindset Trusting teammates to have ownership over time and drive research projects Enjoy working alongside other teams i.e. platform and backend teams
Post-Doc / PhD opportunities in Berlin Area
Hasso Plattner Institute Fully-funded Post-Doc / PhD opportunities in Berlin area at HPI / University of Potsdam. For details, see http://deepdata.demelo.org/join/ or contact Gerard de Melo at email@example.com
NLP Research Scientist @ NCAI
The Saudi National Centre of Artificial Intelligence (NCAI) The Research Scientist role at NCAI’s Natural Language Processing Centre of Excellence is to lead and participate in cutting edge research in the fields of Arabic and English natural language processing.
Job responsibilities include: - Leading and collaborating on cutting edge NLP research. - Collecting, managing, and analyzing data and corpora. - Liaising with local and global research stakeholders. - Developing NLP enabling technologies and downstream solutions. - Providing consultations regarding AI solutions that require NLP components to stakeholders. - Publishing in top tier and high impact conferences and journals. - Participation in specialty conferences and representing the center’s research excellence.
Job Requirements: Knowledge & Experience • Strong understanding of recent developments in AI, NLP, Machine Learning, and Deep Learning. • Publication track record in NLP or a closely related field. • Experience in research: ability to plan and carry out research experiments and projects. • Experience with machine learning libraries (Pytorch, Tensorflow, Mumpy, Scipy) • Strong written and oral communication skills, in addition to strong ability for scientific communication including scientific writing.
Language • English language proficiency Education • PhD degree in Computer Science or a related field with a dissertation in NLP or a very good background on NLP.
To apply, candidates are requested to submit the following (in PDF format): • Cover letter • Curriculum vitae • Transcript of Degree • One page summary of research accomplishments and research interests
Crowd Solution Architect
Toloka Toloka is a crowdsourcing platform uniting millions of people around the world who collect and process data to deliver superior data solutions to customers globally.
Crowdsorsing is used in fields like machine learning, research, testing, technical support and moderation. Our crowd-labeled data is essential to the work of IT companies, marketplaces, banks, manufacturing and retail organizations and our customers from different other industries.
We're looking for Crowd Solution Architects to work in Toloka's global projects. You will build and automate data production pipelines to deliver millions of high-quality labels daily.
Our ideal candidate is fluent in English, has excellent organizational skills, and is technically savvy. You'll learn the principles of crowdsourcing and become a highly valued expert in this fast growing market.
In this position, you will: - Prepare, test, and maintain data collection and handling processes - Evaluate the speed and quality of data collection - Conduct experiments and research, analyze results, and draw conclusions - Communicate with customers and crowd performers to solve their issues - Work with customers and partners from different parts of the world (US, Europe, Asia)
Visiting Research Engineer (Pre/Post-doc)
Facebook AI We are looking for a pre- or post-doc to join the Dynabench (https://dynabench.org) team. Come join the benchmarking revolution!
Amazon Amazon AI is looking for world class scientists and engineers to join its AWS AI Labs. This group is entrusted with developing core data mining, natural language processing, deep learning, and machine learning algorithms for AWS. You will invent, implement, and deploy state of the art machine learning algorithms and systems. You will build prototypes and explore conceptually new solutions. You will interact closely with our customers and with the academic community. You will be at the heart of a growing and exciting focus area for AWS and work with other acclaimed engineers and world famous scientists.
Trustworthy AI Research Scientist
IBM The Trusted AI research group at the IBM T. J. Watson Research Center in Yorktown Heights, NY is seeking research staff member candidates with demonstrated publication records in top machine learning conferences or high-impact journals. The role will focus on fundamental research on trustworthy machine learning and generative models and methods for accelerating discovery, in collaboration with other IBM researchers, as well as delivery of new technologies into IBM's products and services.
Required Technical and Professional Expertise Expert in machine learning/deep learning Proficient in programming Proven publication track record at top machine learning, speech, vision, or natural language processing conferences and/or high-impact scientific journals Ability to work in a team environment, as well as independently
Machine Learning Engineer/Scientist
Casetext At Casetext we are leveraging cutting edge natural language understanding techniques to provide millions of people access to high-quality legal research at an affordable price. We are currently looking for a Machine Learning Scientist familiar with transformer architectures and/or information retrieval. You would be joining our dynamic and passionate 13-strong engineering team to improve upon our current neural information retrieval methodologies and find new language generation approaches in the legal domain.
Text IQ Text IQ is looking for talented R&D Engineers to join our Engineering Team. At Text IQ, you will dive into your passion for machine learning & natural language processing and jumpstart your career alongside world class innovators who are revolutionizing AI and its applications. We're building a powerful AI platform for uncovering truth in human generated unstructured data, a huge problem for enterprises that we've only just begun to tap. You will join a passionate team to design and develop performant, scalable and maintainable AI-powered applications in mission-critical domains. You will have the opportunity to solve novel research problems together with best-in-class AI experts.
Senior R&D Engineer
Text IQ Text IQ is looking for talented Senior R&D Engineers to join our Engineering Team. At Text IQ, you will dive into your passion for machine learning & natural language processing and jumpstart your career alongside world class innovators who are revolutionizing AI and its applications. We're building a powerful AI platform for uncovering truth in human generated unstructured data, a huge problem for enterprises that we've only just begun to tap. You will join a passionate team to design and develop performant, scalable and maintainable AI-powered applications in mission-critical domains. You will have the opportunity to solve novel research problems together with best-in-class AI experts.
Managing Senior AI Engineer - Open Rank
Educational Testing Service The Managing Senior AI Engineer has excellent technical, communication, and people management skills. They will direct and manage a group of talented AI Engineers and Data Scientists working in multidisciplinary teams actively pursuing technology innovation in the personalized adaptive learning technologies space. They will collaborate with Research, Learning, and Data Scientists, NLP Engineers, User Experience experts, Software Developers, and Product Owners that utilize the agile framework and design thinking practices to execute rigorous backlogs and deliver high-powered solutions.
Senior Director - NLP Labs
Educational Testing Service As a core member of the ETS Research Laboratory leadership team, the Senior Director NLP Labs will be responsible for setting a clear and impactful research agenda and developing, in close partnership with cross-functional business partners, roadmaps for emerging AI capabilities and the engines that power those capabilities. The individual will also be responsible for cultivating a culture of consumer-centric strategy in the laboratory.
The Senior Director will lead a talented team of scientists and associates with expertise in AI, deep learning, machine learning, and automated scoring engines, as well as product owners and developers. To fulfill the research and development agenda of the NLP Lab, the Senior Director will be expected to work closely with the leads of two other laboratories as well as cross-functional units throughout the organization.
The Senior Director is expected to have a well-established reputation as a thought leader, a team leader, and as an accomplished scientist in the field of AI and/or machine learning. This individual will report to the General Manager who oversees three research laboratories, the Foundry, and an Enabling Technologies team.
The collaborating laboratories are: Personalized Learning & Assessment and Language Learning, Teaching, and Assessment. Other teams under the General Manager include Enabling Technologies (a team of research engineers that supports the three labs) and the Foundry (an internal incubator).