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PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields. 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.
$230,000 a yearExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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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.
$150ExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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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.
$276,000 a yearExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Computer science, electrical engineering, information technology, linux, processor, radar, software engineer. 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.
$230,000 a yearExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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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.
$278,100 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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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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This is an individual contributor (IC) role driving strategic direction through collaboration with Applied Science, Engineering and Product leaders across Capital One. As a well-respected IC leader, you will guide and mentor a team of applied scientists and their managers without being a direct people leader.
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You have a Masters degree in computer science, electrical engineering and/or you have several years of expertise in sensor fusion, computer vision or related research and experience with collaborating with industry.
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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. A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects.
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PhD focus on topics in geometric deep learning (Graph Neural Networks, Sequential Models, Multivariate Time Series) PhD focused on topics related to optimizing training of very large deep learning models.
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1-3 years (with PhD) or 3-5 years (with Masters) of industrial experience in Computer Science, Artificial Intelligence, Information Retrieval, or a related field, with a focus on NLP or machine learning.
$135,200 - $205,700 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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OR Doctorate in Computer Science, Computational Linguistics, or related field. Rich experience in machine learning, particularly in NLP and deep learning. Research and Innovation; staying updated with the latest research and developments in deep learning and NLP.
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Microsoft GenAI is looking for Applied Researchers to join the team to build and optimize Large Language Models (LLMs) for various product usages as well as improving those from the perspective of Responsible AI. The work may include doing supervised fine-tuning of LLMs, applying Reinforcement Learning from Human Feedback in the process, and conducting thorough evaluation of those.
$94,300 - $182,600 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago
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