Description
We're hiring a Research Engineer to join our Code RL team within the RL organization. As a Research Engineer, you'll advance our models' ability to safely write correct, fast code for accelerators.
You'll need to know accelerator performance well to turn it into tasks and signals models can learn from. Specifically, you will:
- 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.
You may be a good fit if you:
- Have expertise with accelerators (CUDA, ROCm, Triton, Pallas), ML framework programming (JAX or PyTorch).
- Have worked across the stack – kernels, model code, distributed systems.
- Know how to balance research exploration with engineering implementation.
- Are passionate about AI's potential and committed to developing safe and beneficial systems.
Strong candidates may also have:
- Experience with reinforcement learning.
- Experience porting ML workloads between different types of accelerators.
- Familiarity with LLM training methodologies.
The annual compensation range for this role is $350,000-$850,000 USD.
We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact , advancing our long-term goals of steerable, trustworthy AI , rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science.
We kitchen is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.