Machine Learning Engineer
- Published on
About the Role
Join Alexander Chapman as a Machine Learning Engineer in a stealth startup focused on automating browser-based workflows. This role involves building critical AI infrastructure designed from first principles to facilitate the development of next-gen browser agents. You'll tackle complex problems in ML and infrastructure daily and help create systems that will be pivotal for web simulations and more.
About the Candidate
The ideal candidate should have strong Python and TypeScript skills, with real experience in machine learning, which includes training models and running experiments. This is a role tailored to early-career engineers with 0–2 years of professional experience. It’s essential that candidates are eager to work on complex ML infrastructure rather than just prompt-engineering or fine-tuning.
About the Company
Alexander Chapman is an early-stage startup aiming to revolutionize browser automation and AI agents. The founding team consists of professionals from Scale AI, Meta, and other leading tech companies. This startup is committed to creating a significant impact in an underserved space of AI tools.
Company Culture and Benefits
Employees will enjoy competitive salaries and early-stage equity opportunities. You'll be part of a team shaping the future of AI agents and browser automation, contributing to technologies that address existing limitations in current AI systems.
Additional Skills (Bonus Points)
Candidates with experience in reinforcement learning agents and familiarity with Puppeteer or Playwright will receive bonus points in the selection process. This role goes beyond simple fine-tuning tasks and challenges you to dive deep into machine learning complexities.