# Research Engineer, Performance RL

**Company:** [Anthropic](https://hotfix.jobs/companies/anthropic)
**Location:** San Francisco, CA
**Role:** ML Engineering
**Salary:** $350k – $850k/yr
**Skills:** CUDA, Rocm, Triton, Pallas, JAX, PyTorch, Reinforcement Learning, Distributed Systems, Llm Training, Kernels
**Posted:** 2026-03-23

> Research Engineer on the Code RL team advancing AI models' ability to write efficient code for accelerators. Requires deep expertise in accelerators like CUDA/ROCm and ML frameworks like JAX/PyTorch, plus experience across kernels, model code, and distributed systems.

## Job Description

## 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.

## Requirements
- Expertise with accelerators (**CUDA**, **ROCm**, **Triton**, **Pallas**), ML framework programming (**JAX** or **PyTorch**).
- Worked across the stack – kernels, model code, distributed systems.
- Know how to balance research exploration with engineering implementation.
- Passionate about AI's potential and committed to developing safe and beneficial systems.

## Nice-to-Haves
- Experience with **reinforcement learning**.
- Experience porting ML workloads between different types of accelerators.
- Familiarity with **LLM** training methodologies.

## Compensation
**Annual Salary**: $350,000—$850,000 USD

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