Software Engineer, Tokens and Prompt Structures
Anthropic · San Francisco
Job description
About the role
The Encodings Infra team builds and maintains the libraries that turn text and multimodal data into the format Claude consumes. As a Software Engineer you will own the design, performance, and API stability of these libraries, enabling researchers and engineers to focus on higher‑level AI work.
Key responsibilities
- Maintain and improve encoding libraries used across Anthropic.
- Run experiments to find optimal ways to feed structured data into Claude.
- Design abstractions that hide encoding details while supporting power users.
- Adapt libraries for emerging research directions and ship them to production.
- Optimize encoding performance throughout dependent systems.
Required profile
- 5+ years of software engineering experience, including library or SDK maintenance.
- Familiarity with ML terminology and LLM architecture.
- Experience with complex refactors in large codebases.
- Strong communication skills and ability to collaborate with researchers.
- Results‑oriented mindset with flexibility to take on extra tasks.
- Commitment to the societal impact of AI work.
Required skills
- Python
- Rust
- Tokenizers or other text/data encoding systems
- Performance optimization
- Reinforcement learning or model training infrastructure
What we offer
- Annual salary $320,000–$405,000 USD
- Competitive benefits, equity donation matching, generous vacation and parental leave
- Flexible working hours and hybrid office policy
- Collaborative research environment focused on safe, steerable AI
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Published 1 month ago
Expires 1 week from now
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Anthropic
San Francisco
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