RL Environments Engineer: Realistic Training Tasks

Cursor; San Francisco (CA); On-site; USD 150,000 - 230,000; Full time

Job summary

SpaceXAI is seeking a Software Engineer to join the RL Environments team. You will build platforms that enable scalable, realistic reinforcement learning environments and tasks, working across data, research, and engineering to ship trustworthy data quickly.

You will design end-to-end data factories, enforce quality standards, and develop self-serve APIs and tooling for internal teams and external contributors, partnering across disciplines to translate model-capability goals into training tasks.

Qualifications

• Demonstrated strong software engineering fundamentals.
• Experience with data platforms, developer tools, distributed systems, or ML infrastructure.
• Ability to turn ambiguous quality standards into automated checks.
• Ability to build repeatable pipelines from messy data.
• Collaborates across disciplines end-to-end.

Responsibilities

• Build platforms to create realistic RL environments at scale.
• Design end-to-end factories turning raw data into environments.
• Define and apply quality standards across data sources.
• Create self-serve APIs and tooling for internal/external users.
• Collaborate with research, platform, and external teams to translate goals into tasks and environments.

Skills

Software engineering fundamentals

Data platforms

Developer tools

Distributed systems

ML infrastructure

Quality automation checks

Cross-disciplinary collaboration

Tools

APIs

Self-serve tooling

Job description

SpaceXAI is seeking a Software Engineer to join the RL Environments team. You will build platforms that enable scalable, realistic reinforcement learning environments and tasks, working across data, research, and engineering to ship trustworthy data quickly.

You will design end-to-end data factories, enforce quality standards, and develop self-serve APIs and tooling for internal teams and external contributors, partnering across disciplines to translate model-capability goals into training tasks.