Senior Software Engineer, RLE
Core
Build and scale Reinforcement Learning Environments (RLE) platforms that simulate real-world workflows (software engineering, finance, legal) to generate training data for frontier AI models.
Role type
Senior Software Engineer (Backend/ML Infrastructure)
Builds
Interactive RLE platforms, scalable environment systems, and data generation pipelines for AI model training and evaluation.
Domain
Artificial Intelligence / Reinforcement Learning / Data Infrastructure
Deliverable
production ML models
Required skills
Backend systems, distributed systems, system design, relational databases (PostgreSQL), cloud infrastructure (AWS/GCP), CI/CD pipelines, ReactJS, TypeScript
Preferred skills
RL training infrastructure, simulation systems, evaluation platforms, operations-heavy environments, applied ML support
Technologies
ReactJS, TypeScript, PostgreSQL, AWS, GCP
Responsibilities
Build and scale reinforcement learning environments; Drive architecture for scalable, reliable, extensible environment systems; Partner with Research, Product, and Ops to turn ambiguous needs into production systems; Build modular, plug-and-play domains; Raise the bar on reliability, observability, performance, and data quality.
Seniority
Senior, hands-on IC
