Applied Research - Ecosystem and Product

Skills

About the Role

You will turn emerging research artifacts into strong open-source and product experiences. You will build core systems and researcher-facing platform features, define stable interfaces, and support external contributors as they ship technical work.

Requirements

• Experience owning open-source ML or developer-tool systems, research engineering, technical product work, or communities around code and reproducible research.
• Experience building and debugging model-training, post-training, agent, evaluation, or adjacent experimental loops.
• Strong experimental judgment, including meaningful baselines, trace inspection, and failure attribution.
• Strong Python skills.
• Ability to build artifacts that other researchers and engineers can run, inspect, and extend.
• Ability to own ambiguous problems and keep partners and teammates informed.

Responsibilities

• Build core open-source RL, environment, evaluation, and agent systems.
• Develop researcher-facing features for the training platform.
• Create APIs, examples, reference implementations, and technical explanations.
• Turn internal agent and RL abstractions into stable public interfaces.
• Create contributor paths for environments, harnesses, algorithms, and integrations.
• Work with research users and external contributors to improve interfaces, code, and research artifacts.

Benefits

• Flexible work in San Francisco, New York, London, or remote
• Visa sponsorship
• Relocation support
• Professional development budget
• Team off-sites
• Conference attendance