Why Foundry exists:
Every SaaS app, enterprise tool, and internal workflow without an API will soon be automated by browser agents—not traditional API integrations. Tens of trillions of dollars in global labor depend on browser-based workflows that no AI system can reliably automate today.
We're building core infrastructure designed from first principles, specifically for browser agents:
- Hyper-realistic, deterministic web simulations
- Comprehensive annotation framework for labeling and debugging
- Reliable benchmarks immune to web drift, IP bans, and rate limits
- Robust RL training environments and infrastructure
What you'll do:
- Build a browser agent gym—sparse rewards, non-determinism, messy DOM trees
- Solve hard ML problems at the edge of production—every single day
Requirements:
- Strong software engineering skills (Python, TypeScript) with 0-2 years experience
- Fast shipping capability demonstrated through internships, side projects, OSS
- Real ML experience: model training, infrastructure building, experimentation
- Strong OSS contributions or recognized publications
- Drive to build something genuinely novel
Ideal candidates have:
- Experience with RL agents, browser automation (Puppeteer, Playwright), or eval tooling
- Ready to move beyond API wrapping and basic model fine-tuning
Why join:
- Work on real-world ML infrastructure with actual technical complexity
- Early equity stake with competitive compensation
- Opportunity to build foundational AI infrastructure
- Work with founding team from Scale AI & Meta backgrounds
We're building the core ML stack that future browser automation will depend on. This is an opportunity to work on fundamental infrastructure, not just another GPT wrapper or prompt engineering role.