Qualifications

• Familiarity with building evaluations, benchmarks, or reinforcement learning (RL) for AI agents.
• Ability to iterate and adapt quickly in a startup environment.
• Strong product and user ownership skills, with experience in prioritizing a large roadmap.
• Comfortable with client interactions, including discussions with users, customers, and subject matter experts.

Responsibilities

• Build RL environment training and inference infrastructure for scalable customer usage.
• Research and develop next-generation RL environments that are realistic and challenging.
• Create software that significantly improves the quality and speed of RL environment creation.
• Innovate synthetic data pipelines to develop realistic problem scenarios.
• Build analytics for environment costs, usage hours, bottlenecks, and subject matter expert management.
• Craft domain-specific verifiers for various applications such as quantitative trading.
• Establish a strong engineering culture and practices from scratch.

Benefits

• Fully covered medical, dental, and vision insurance for employees, with subsidies for dependents.
• Relocation stipend of over $10k to assist with moving to San Francisco.
• 401(k) plan with an employer match of up to 4%.
• Complimentary meals (breakfast, lunch, and dinner) during work hours.
• Free gym membership to promote employee wellness.
• Free transportation options, including Ubers and Waymo rides for commuting.
• Visa sponsorship support, including for H-1B visas.