6 months ago
Base Salary
$500k - $850k/yr
Responsibilities
- Build and improve RL training infrastructure used by researchers.
- Identify and remove bottlenecks through debugging, profiling, and rearchitecting.
- Partner with researchers and adjacent teams such as inference and sandboxing to develop productivity-enhancing tooling.
- Own the reliability and performance of research runs end-to-end.
- Contribute to design decisions shaping RL at scale at Anthropic.
Requirements
- Strong software engineering fundamentals and a track record of building performant, reliable systems.
- Experience with ML infrastructure, distributed systems, or research tooling.
- Ability to work across the stack, from low-level performance work to RL algorithms.
- Strong collaboration, communication, ownership, and iterative delivery skills.
- Experience with large-scale distributed training in RL, pre-training, or post-training is a strong plus.
- Familiarity with JAX, PyTorch, or similar ML frameworks is a strong plus.
- Bachelor’s degree in a relevant field, or an equivalent combination of education, training, and/or experience.
Benefits
- Annual compensation range of $500,000-$850,000 USD.
- Hybrid policy requiring staff to work from an office at least 25% of the time, with some roles requiring more.
- Visa sponsorship is available, with immigration-lawyer support.
- Competitive benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and collaborative office space.
Tech Stack
Categories
About Anthropic
Anthropic builds large language models and the Claude AI assistant for developers and enterprises, offered via API access and enterprise plans. Founded in 2021 and headquartered in San Francisco, it distributes Claude through its own platform and via partners such as Amazon Bedrock and Google Cloud’s Vertex AI. Its work emphasizes model reliability, interpretability, and practical tooling for tasks like coding assistance, analysis, and customer support automation.