3 months ago
Base Salary
$140k - $200k/yr
Responsibilities
- Design, build, and maintain sandboxed RL environments for AI training.
- Develop reproducible, containerized execution environments.
- Integrate with and extend open-source agentic tooling.
- Build instrumentation and observability layers for data collection.
- Collaborate with data operations to design task curricula and evaluation protocols.
- Own environment deployment and reliability, including CI/CD pipelines.
- Rapidly prototype new environment types as requirements evolve.
Requirements
- 2+ years of professional software engineering experience.
- Strong fundamentals in Python and at least one systems-level language (Go, Rust, C++).
- Experience with containerization and sandboxing in production contexts.
- Familiarity with reinforcement learning concepts.
- Experience building or maintaining developer tooling or infrastructure automation.
- Comfort with browser automation frameworks or terminal interaction tooling.
- Strong debugging instincts and ability to trace failures across systems.
Benefits
- High-impact environment with rapid career growth tied to contributions.
- Work at the cutting edge of AI development.
- Continuous learning and evolution in a collaborative setting.
- Clear ownership of projects with autonomy to execute.
- Hybrid work model with dedicated tech hubs in San Francisco or Wrocław.