Machine Learning Engineer
- Published on
About the Role
Join Alexander Chapman as a Founding Engineer in a stealth early-stage startup focused on vital AI infrastructure. The company is tackling the automation of browser-based workflows, an area where current AI systems face significant challenges. You will work on developing core infrastructure to enable advanced browser agents, including hyper-realistic web simulations, annotation frameworks, and reliable benchmarking tools resistant to various issues.
Expectations for the Candidate
The ideal candidate is an early-career engineer with 0 to 2 years of experience. Candidates should have strong skills in Python and TypeScript, as well as practical machine learning experience including training models, building infrastructure, and running experiments. You will solve deep ML and infrastructure problems daily and contribute to building a "browser agent gym."
Why Join?
- Contribute to the development of advanced ML infrastructure with meaningful technical complexity.
- Benefit from an early-stage equity offering alongside a competitive salary.
- Play a role in shaping the future of browser automation and AI agents.
Nice to Have
Bonus points if you have experience with reinforcement learning agents, Puppeteer, or Playwright, and a readiness to delve deeper than merely fine-tuning models.
About the Company
Founded by a team from Scale AI and Meta, this startup is determined to innovate in the AI domain. Their dedicated team is committed to creating sophisticated tools that enhance browser automation and agent performance, addressing a critical gap in the current market.