Performance RL Research Engineer - Safe Code for Accelerator

Neura Market; San Francisco, Northern (CA, KY); Hybrid; USD 180,000 - 230,000; Full time

Benefits offered by this job

Competitive compensation

Flexible hours

Job summary

Anthropic is hiring for a Research Engineer on the Code RL team to advance models’ ability to safely write correct, fast code for accelerators. You will design RL environments, run experiments, and translate results into training runs.

Responsibilities include collaborating with researchers and engineers across Anthropic to shape the research roadmap and deliver impact in scalable AI systems. A strong background in accelerators and ML frameworks is essential.

Qualifications

• Bachelor’s degree or equivalent combination of education and experience in a relevant field.
• Experience with ML frameworks and accelerator programming is preferred.
• Experience across model, kernel, and distributed systems is desirable.

Responsibilities

• Invent, design and implement RL environments and evaluations.
• Conduct experiments and shape our research roadmap.
• Deliver your work into training runs.
• Collaborate with other researchers, engineers, and performance engineering specialists across and outside Anthropic.

Skills

Accelerators

CUDA

ROCm

Triton

Pallas

JAX

PyTorch

Distributed systems

Education

Bachelor’s degree or equivalent

Job description

Anthropic is hiring for a Research Engineer on the Code RL team to advance models’ ability to safely write correct, fast code for accelerators. You will design RL environments, run experiments, and translate results into training runs.

Responsibilities include collaborating with researchers and engineers across Anthropic to shape the research roadmap and deliver impact in scalable AI systems. A strong background in accelerators and ML frameworks is essential.