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Indexed directly from employers. Every age is their own publish date.
Indexed directly from employers. Every age is their own publish date.
Searching titles and descriptions for “Member of Technical Staff - RL Inference”. A match may be a passing mention rather than the job itself. Titles only.
39 roles · page 2 of 2
…Liquid Foundation Models for some of the world’s largest enterprise customers. You will act as the technical bridge between customer requirements and model…
…This role is highly collaborative and will touch many aspects of our broader research efforts, taking a full-stack approach across pretraining, SFT/RL…
…As a Member of Technical Staff, Applied ML, you will: 1. Work directly with enterprise customers on problems that push LLMs to their limits…
…As a Member of Technical Staff, Applied ML, you will: 1. Work directly with enterprise customers on problems that push LLMs to their limits…
Overview Microsoft AI is looking for a Member of Technical Staff, Evaluations Engineer to help build the next wave of capabilities of our personalized…
Overview Microsoft AI is looking for a Member of Technical Staff, Pre-Training Infrastructure, to help build the next wave of capabilities for our…
…As a Member of Technical Staff on the Agent Code team, you will: - Stay up-to-date with the latest research in code LLMs…
…Members of our technical staff are responsible for prototyping and designing new features of our voice interface, building infrastructure to handle <500ms LLM inference…
…Members of our technical staff are responsible for prototyping and designing new features of our voice interface, building infrastructure to handle <500ms LLM inference…
…Our approach combines frontier-scale pre-training, domain-specific RL, ultra-long context, and inference-time compute to achieve this goal. ABOUT THE ROLE…
…Our approach combines frontier-scale pre-training, domain-specific RL, ultra-long context, and inference-time compute to achieve this goal. ABOUT THE ROLE…
…As a Member of Technical Staff - Inference, you will design and optimize large-scale model serving systems end-to-end. You will own everything…
…Our approach combines frontier-scale pre-training, domain-specific RL, ultra-long context, and inference-time compute to achieve this goal. ABOUT THE ROLE…
…design kernels with understanding and interaction with training, inference, and RL teams - For a sample of our work, see Magic-Attention, presented at GTC…