The opportunity
The Universes team within Research is responsible for training AI models to perform complex, difficult, long-horizon agentic tasks in ultra-realistic settings. We design and implement novel training environments that go far beyond what models can do today — environments where…
What you'll do
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
Are highly impact-driven: you care about outcomes, not activity
What they're looking for
- 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
