Staff Software Engineer, Code RL
Anthropic · San Francisco, CA · New York City, NY
- Level
- Staff
- Type
- full-time
- Mode
- On-site / hybrid
- Posted
- 2026-07-25
- Team
- AI Research & Engineering
Role description
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Code RL at Anthropic drives reinforcement learning efforts behind Claude's coding capabilities, creating and scaling agentic coding environments. This is an engineering role with unusual latitude to set technical direction and standards.…
Technologies named in the posting
How Rolefit scores this role
- Stack overlap (50%). Every technology named in the posting is compared with your selected stack, weighted by how rare it is across the whole index — a niche match counts for more than Docker.
- Seniority fit (16%). The level in the posting is compared with the level assessed from your years and depth.
- Title alignment (16%). Whether the role is actually pitched at your field rather than adjacent to it.
- Freshness and filters (18%). Newer postings, your work type and your target region all move the score.
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