About the Role
We’re hiring a Staff Software Engineer to lead the architecture and evolution of our Reinforcement Learning Environments (RLE) platform—the systems that define how frontier AI models learn real-world work. This is a high-impact, technical leadership role responsible for system design, cross-team alignment, and setting the long-term technical direction of RLE.
What You’ll Do
- Define and drive architecture for scalable, extensible RLE systems and data pipelines
- Lead development of platform capabilities enabling rapid domain creation
- Partner with Research, Product, and Ops to shape strategy and execution
- Set standards for reliability, observability, performance, and data quality
- Mentor engineers and elevate engineering excellence across the team
- Identify and solve systemic bottlenecks in scaling environments and data generation
What We’re Looking For
- 8+ years of experience in distributed systems, backend infrastructure, or ML platforms
- Deep expertise in system design, data modeling, and scalable architectures
- Strong proficiency with TypeScript, backend systems, and modern web stacks
- Proven experience operating high-scale production systems in cloud environments
- Track record of technical leadership and cross-functional influence
Nice to Have
- Experience with RL infrastructure, simulation systems, or evaluation frameworks
- Background supporting applied AI/ML research teams
- Experience building platform-level abstractions used across multiple teams
What Success Looks Like
- RLE becomes a foundational, trusted platform across teams and use cases
- New domains scale rapidly with minimal engineering overhead
- Systems demonstrate step-function improvements in model quality and reliability
- Engineering velocity and system robustness increase across the organization