The opportunity
One of our north stars is a future where teams can hire Grok as a remote colleague. Reaching that future requires training our models in realistic, diverse environments that support complex, end-to-end work across domains.
What you'll do
Building platforms that allows us to build complex, realistic, and diverse RL: environments at scale, that support end-to-end tasks across knowledge-work domains.
Designing end-to-end factory that turns massive raw data into useful and realistic environments.
Defining and applying consistent quality standards across vendor, tutor, acquired, and synthetic data.
Creating self-serve APIs and tooling that accelerate task and environment: development for internal teams and external contributors.
Partnering across research, platform, and external teams to translate: model-capability goals into effective training tasks and environments.
You have strong software engineering fundamentals and experience with data: platforms, developer tools, distributed systems, or ML infrastructure.
What they're looking for
- You can turn ambiguous quality standards into concrete, automated checks.
- You’re comfortable building repeatable pipelines from messy, heterogeneous data.
- You care about model behavior and can translate capability goals into tasks and experiments.
- You collaborate well across disciplines and own open-ended problems end to end.
