sampling approaches, SFT, continual post-training, and Reinforcement Learning (RL). These systems are deployed to Amazon... on step-by-step trajectories and tool-use traces - RL for LLMs, Offline RL and off-policy evaluation - Agentic memory/state...
, empowered, and fulfilled. In particular, our work combines large language models (LLMs) with reinforcement learning (RL... your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay...
in ML subfields such as Natural Language Processing (NLP) and Reinforcement Learning (RL) Build tools and applications... is our policy to provide equal employment and advancement opportunities in the areas of recruiting, hiring, training, transferring...
, post-training, agents, RL environments). Define and drive a multi-year research roadmap: identify key scientific questions... experience (PhD or equivalent preferred) in machine learning, deep learning, generative models, agent/rl systems or related...
contributions to systems or network design for AI infrastructure, including where ML/RL informs design or drives online decisions..., 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed...
across engineering and product to bring scientific innovations into production. - Stay current with the latest research in LLMs, RL... for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary...
needing deep RL expertise? That's the challenge here: evaluate emerging approaches, adapt them into enterprise-ready... this person to help us build ours. What you'll be doing: The work splits between creating enterprise-ready RL capabilities...
- Enable tailored querying and analytics access for all RL stakeholders across organizational data Document patterns... certified refurbished devices to pre-owned customers with an annual growth rate of 10%. The RL BI (Analytics) team owns the...
sampling approaches, SFT, continual post-training, and Reinforcement Learning (RL). These systems are deployed to Amazon... on step-by-step trajectories and tool-use traces - Verbal Reinforcement Learning and Continual Learning - RL for LLMs...
(e.g. RL) to context optimization, as a foundational layer for AWS customers to build reliable and performant Agents... broad area of Agent optimization/learning, which could range from RL reward shaping, training efficiency optimization...