Research Engineer, Machine Learning (Reinforcement Learning)
Tasks
- Build automated testing frameworks
- Create prototypes for internal productivity and evaluation
- Design scalable APIs
- Design training environments for reinforcement learning agents
- Develop reinforcement learning infrastructure
- Evaluate reinforcement learning agent performance
- Implement reinforcement learning training methodologies
- Profile and optimize distributed training systems
Perks/Benefits
- Flexible working hours
- Generous vacation
- Optional equity donation matching
- Parental leave
- Visa sponsorship
Skills/Tech-stack
API Design | Async Programming | Asynchronous programming | Automated testing | Autonomous Software Generation | Autonomous software | Benchmarking | C++ | Caching | Computer use | Concurrent programming | Debugging | Distributed Systems | Evaluation Frameworks | 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 | Scalable infrastructure | Software Generation | TensorFlow | Tool use | Trio | Virtualization
Education
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