Software Engineer, RL Environments

Join an applied AI research team building reinforcement learning environments and evaluation resources for machine learning this role you will use Python and thoughtful data design to help models perform more reliably across complex real-world domains.

• Develop Python software that supports reinforcement learning environment work and model evaluation.
• Design data collection strategies and evaluation rubrics for machine learning models.
• Create data slices that help surface model failure modes across finance code and enterprise workflows.
• Help turn nuanced evaluation needs into structured data and assessment approaches that can be used to improve model performance.

• One to four years of hands-on experience designing data collection strategies and evaluation rubrics for machine learning models.
• Experience using Python for software development.
• Background identifying model failure modes through evaluation across multiple domains such as finance code or enterprise workflows.

The salary range is $260000 to $290000 annually. Visa sponsorship is available.

This is an on-site role based in San Francisco California.