About the job
We're looking for Research Engineers to help us build the next generation of training environments for capable and safe agentic AI. This role blends research and engineering responsibilities, requiring you to both implement novel approaches and contribute to research direction.
Responsibilities
Build the next generation of agentic environments
Build rigorous evaluations that measure real capability
Collaborate across research and infrastructure teams to ship environments into production training
Debug and iterate rapidly across research and production ML stacks
Contribute to research culture through technical discussions and collaborative problem-solving
Qualifications
Minimum
Are highly impact-driven — you care about outcomes, not activity
Operate with high agency
Have good research taste or senior technical experience, demonstrating good judgment in identifying what actually matters in complex problem spaces
Can balance research exploration with engineering implementation
Are passionate about the potential impact of AI and are committed to developing safe and beneficial systems
Are comfortable with uncertainty and adapt quickly as the landscape shifts
Have strong software engineering skills and can build robust infrastructure
Enjoy pair programming (we love to pair!)
Preferred
Have industry experience with large language model training, fine-tuning or evaluation
Have industry experience building RL environments, simulation systems, or large-scale ML infrastructure
Senior experience in a relevant technical field even if transitioning domains
Deep expertise in sandboxing, containerization, VM infrastructure, or distributed systems
Published influential work in relevant ML areas