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PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI.
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We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure.
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276,000 - $315,000 for Applied Researcher II. $292,400 - $333,700 for Applied Researcher II. Applied Researcher II. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences.
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Currently has, or is in the process of obtaining, a PhD, with an expectation that required degree will be obtained on or before the scheduled start date plus at least 2 years of experience in Applied Research, or M.S. plus at least 4 years of experience in Applied Research.
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San Francisco, California (Hybrid On-Site): $243,700 - $278,100 for Applied Researcher I. New York City (Hybrid On-Site): $230,000 - $262,500 for Applied Researcher I. Applied Researcher I.
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LLM PhD focus on NLP or Masters with 5 years of industrial NLP research experience Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) Publications in deep learning theory Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR.
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Optimization (Training & Inference) PhD focused on topics related to optimizing training of very large deep learning models Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression Experience optimizing training for a 10B+ model Deep knowledge of deep learning algorithmic and/or optimizer design Experience with compiler design.
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PhD or M.S. with at least 2 years of experience in Applied Research. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF.
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You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Data Preparation Publications studying tokenization, data quality, dataset curation, or labeling Contribution to a major open source corpus Contribution to open source libraries for data quality, dataset curation, or labeling.
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A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
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You're passionate about talent development for your own team and beyond. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law.
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Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money.
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PhD focus on NLP or Masters with 5 years of industrial NLP research experience Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) Publications in deep learning theory Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR.
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Center 3 (19075), United States of America, McLean, VirginiaApplied Researcher II. PhD focus on NLP or Masters with 5 years of industrial NLP research experience. PhD focus on topics in geometric deep learning (Graph Neural Networks, Sequential Models, Multivariate Time Series.
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New York City (Hybrid On-Site): $230,000 - $262,500 for Applied Researcher ISan Francisco, California (Hybrid On-Site): $243,700 - $278,100 for Applied Researcher I. Currently has, or is in the process of obtaining, a PhD, with an expectation that required degree will be obtained on or before the scheduled start date or M.S. with at least 2 years of experience in Applied Research.
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computer science incentive compensation jobs Title: applied researcher in Niles, Illinois
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