Research Engineer Machine Learning Rl Velocity Jobs

As a Research Engineer on the team, you'll build and improve the core platform that underpins how we do RL at Anthropic, removing bottlenecks that slow down research

learning frameworks (PyTorch, TensorFlow, JAX) Have industry experience in machine learning research Can balance research exploration with engineering

learning frameworks (PyTorch, TensorFlow, JAX) Have industry experience in machine learning research Can balance research exploration with engineering

Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research

About the Role We're looking for a Machine Learning Engineer to contribute to high-performance distributed training infrastructure

Engineer (AI/RL Infrastructure) to join the Research Group at Applied Intuition.

As a Research Engineer on the team, you'll work at the center of RL at Anthropic.

We are looking for engineers who can navigate the convergence of machine learning and systems engineering to build robust, scalable platforms.

At Applied Intuition, you will: Conduct research on reinforcement learning (RL) related topics including large-scale

We’re looking for research engineers and scientists who have gotten training runs working at scale, are immersed in RL for language models, and want their

We’re looking for research engineers and scientists who have gotten training runs working at scale, are immersed in RL for language models, and want their

We’re looking for research engineers and scientists who have gotten training runs working at scale, are immersed in RL for language models, and want their