Software Engineer
Preference Model21 days ago
San Francisco, CA, USAMid Level / Senior
Responsibilities
- Design and build RL environments end-to-end, including tasks and reward functions.
- Develop scalable RL training infrastructure with performance optimization and monitoring.
- Define and create model evaluations to measure agent performance.
- Drive architecture decisions and contribute to the engineering culture.
Requirements
- 4+ years of software engineering experience with strong project ownership.
- Deep expertise in at least one domain such as infra, distributed systems, or performance.
- Proficient in Python, Rust, or TypeScript across the full stack.
- Hands-on experience with Kubernetes, AWS, or GCP.
- Extensive experience working with coding agents.
- Ability to work independently on ambiguous, high-ownership problems.