Senior Software Engineer, RLE

About the Role

We’re hiring a Senior Software Engineer to build our Reinforcement Learning Environments (RLE) platform—the interactive systems where frontier AI models learn to complete real-world work.

RLE environments simulate workflows (e.g., software engineering, finance, legal) with realistic tools, constraints, and feedback loops. The data generated powers training and evaluation for model quality, robustness, and task completion.

This is a high-ownership role with direct impact on how models learn and how quickly new domains scale.

What You’ll Do

• Build and scale our reinforcement learning environments and the platforms behind them
• Drive architecture for scalable, reliable, extensible environment systems and data generation pipelines
• Partner with Research, Product, and Ops to turn ambiguous needs into production systems
• Build modular, plug-and-play domains that integrate cleanly with training and evaluation loops
• Raise the bar on reliability, observability, performance, and data quality

What We’re Looking For

• 6+ years building backend, distributed systems, or ML infrastructure
• Proficiency with ReactJS and TypeScript, with deep knowledge of backend architectures.
• Strong command of relational databases (e.g., PostgreSQL), data modeling, system design, and distributed systems principles.
• Experience with cloud infrastructure (AWS, GCP), CI/CD pipelines, and operating production systems at scale.

Nice to Have

• Experience with RL training infrastructure, simulation systems, or evaluation platforms
• Working in an operations-heavy, tech-enabled environment
• Experience supporting applied ML or AI research teams

What Success Looks Like

• RLE becomes a trusted platform for training workflow-capable models
• New domains launch quickly with high-quality data
• Systems are reliable, scalable, and drive measurable model improvements