Alexander Chapman

Machine Learning Engineer

San Francisco, CA, US

6 days ago
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Summary

🚀 I’m excited to share a Founding Engineer opportunity at a stealth early-stage startup building critical AI infrastructure.


They're tackling a huge, underserved space: automating browser-based workflows — an area current AI systems still struggle with. Rather than wrapping existing models, they’re designing first-principles core infrastructure to enable the next generation of browser agents: hyper-realistic web simulations, annotation frameworks, RL training environments, and reliable benchmarking tools resistant to web drift, IP bans, and more.


The founding team comes from Scale AI, Meta, and other top tech backgrounds. They’re looking for an exceptional early-career engineer (0–2 YOE) with strong Python/TypeScript skills and real ML experience (training models, building infra, running experiments).

🛠️ This isn’t prompt-engineering or fine-tuning — you’d be solving deep ML/infra problems daily, helping to build a "browser agent gym," and shipping real systems others will depend on.


Why join?

  • Build real ML infrastructure with serious technical complexity
  • Early-stage equity + competitive salary
  • Shape the future of browser automation and AI agents


Bonus points if you have experience with RL agents, Puppeteer/Playwright, or if you’re ready to go much deeper than just fine-tuning.

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