We're looking for a Research Engineer to bridge cutting-edge research with production-scale development and deployment of RL environments, working at the intersection of research and engineering. You'll collaborate with frontier labs and enterprise customers to understand their needs, then translate those insights into systematic environment creation.
Requirements
- MS or PhD in Machine Learning, Computer Science, or related field, OR equivalent industry research experience
- Track record of research contributions (publications, open-source projects, or deployed research systems)
- Deep understanding of reinforcement learning, agent training, or related areas
- Strong Python skills and experience with ML frameworks (PyTorch, JAX, or similar)
- Experience building production systems or research infrastructure at scale
- Proficiency with cloud platforms (GCP, AWS) and distributed computing
- Systematic approach to testing, validation, and quality assurance
- Excellent communication skills for working with research teams and enterprise customers
- Experience translating between research concepts and practical requirements
- Ability to scope projects, set priorities, and deliver on commitments
- Comfortable presenting technical work to diverse audiences
Benefits
- Health coverage
