Research Engineer in United States

Research Engineer – Benchmarking at Mercor in San Francisco, California, United States. Full-time · On-site · $200K – $500K/yr.

Research Engineer - Environments, Data and Post-Training at Mercor in San Francisco, California, United States. Full-time · On-site · $180K – $500K/yr.

Research Engineer, Real Environments at Mercor in San Francisco, California, United States. Full-time · On-site · $160K – $500K/yr.

Research Engineer, Intern – Benchmarking at Mercor in San Francisco, California, United States. Internship · On-site · $70/hr.

Your Impact at LILA Lila is building an operating system for science, powered by scientific superintelligence — generating hypotheses, designing and running experiments, and learning from new data in real time to speed up discovery in fields like therapeutics and advanced…

If you want to build massive-scale ML systems that will define the way the new AI world consumes inf

Research Engineer, Index Intelligence at Exa in San Francisco, California, United States. Full-time · On-site · $180K – $350K/yr.

Research Engineer, Content Understanding at Exa in San Francisco, California, United States. Full-time · On-site · $180K – $350K/yr.

Job Description : Develop sim2real reinforcement learning (RL) training pipelines for humanoid robots. Train and test robot policies via reinforcement learning for in-home humanoid robots. Optimize training pipelines for improved performance and training speed. Modeling of…

About the RL teams Our Reinforcement Learning teams lead Anthropic's reinforcement learning research and development, playing a critical role in advancing our AI systems. We've contributed to all Claude models, with significant impacts on the autonomy and coding

About the Role We're seeking an exceptional Research Engineer to join our Life Sciences team at Anthropic. Our team is organized around the north star goal of accelerating progress in the life sciences, from early discovery through translation, by an order of ma

About Horizons The Horizons team leads Anthropic's reinforcement learning (RL) research and development, playing a critical role in advancing our AI systems. We've contributed to every Claude release, with significant impact on the autonomy, coding, and reasonin

About the Team Our team is organized around the north star goal of building an AI scientist – a system capable of solving the long term reasoning challenges and basic capabilities necessary to push the scientific frontier. About the role As a Research Engineer o

About the teams Our Reinforcement Learning teams lead Anthropic's reinforcement learning research and development, playing a critical role in advancing our AI systems. We've contributed to all Claude models, with significant impacts on the autonomy and coding ca

About the RL Teams Our Reinforcement Learning teams play a critical role in advancing our AI systems. We've contributed to all Claude models, with significant impacts on the autonomy and coding capabilities of our latest Claude models. Our work spans several key