Research Engineer / Performance Engineer, RL Distributed Systems
AI · 34 roles open in software and data
- Location: San Francisco, CA | New York City, NY | Seattle, WA
- Pay: $500k–$850k a year
- Posted: Posted
About the role
The team builds and maintains the complex distributed systems that enable large-scale reinforcement learning. The engineer works on improving system performance and reliability, addressing bottlenecks in areas like scheduling, data movement, and fault tolerance to ensure efficient learning progress.
Our summary of the posting; the original is on the Anthropic careers page.
What the posting requires
- Required
- Python
- Rust
- Quantitative reasoning
- Software engineering
- C++
- Throughput
- Go
- Latency
- Systems programming
- Resource management
- Preferred
- Kubernetes
- High-performance networking
- Asyncio
- Container orchestration
- RDMA
- Trio
These tags are our reading of the posting. They can miss something; the original posting is the reference.
Do you qualify?
Each requirement checked against your resume, in about a minute. No account. Your resume is deleted when the verdict appears.