Research Engineer, Machine Learning (Reinforcement Learning)
San Francisco, CA | New York City, NY
USD 500K-850K Mid-level Full Time
Tasks
- Build distributed experiment management
- Build scalable infrastructure for AI research
- Collaborate on agentic models for open ended tasks
- Create automated testing frameworks
- Debug distributed systems
- Design clean APIs
- Design training environments and evaluations
- Develop RL agent methodologies
- Implement caching solutions
- Implement reinforcement learning training abstractions
- Profile and optimize training and evaluation performance
Perks/Benefits
- Flexible working hours
- Generous vacation
- Health insurance
- Hybrid work policy
- Optional equity donation matching
- Parental leave
- Visa sponsorship support
Skills/Tech-stack
API Design | Async Programming | Automated testing | Benchmarking | C++ | Caching | Concurrent programming | Distributed Systems | Evaluation | GPU clusters | High Performance | High-Performance Computing | JAX | Kubernetes | Language Models | Large Language Models | Learning environments | Machine Learning | Optimization | Performance Computing | Profiling | PyTorch | Python | Reinforcement Learning | Reinforcement Learning Environments | Rust | Sandboxing | TensorFlow | Tool use | Trio | Virtualization
Education
Regions
Countries
States
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