Machine Learning Engineer
- Published on
About the Role
Join a stealth early-stage startup as a Founding Engineer. This opportunity involves building critical AI infrastructure aimed at automating browser-based workflows, an area where current AI systems have limitations. Instead of merely wrapping existing models, The team designs core infrastructure from first principles, focusing on developments like hyper-realistic web simulations, annotation frameworks, RL training environments, and robust benchmarking tools resistant to various challenges.
Responsibilities
As a founding engineer, you will work on deep ML/infra problems daily, contribute to building a "browser agent gym," and deploy systems that others will rely on. This role is not about prompt-engineering or fine-tuning; it requires significant technical input to tackle complex issues.
About the Candidate
The ideal candidate is an early-career engineer with 0-2 years of experience who possesses strong skills in Python and TypeScript along with real ML experience. Extra points if you have knowledge of RL agents or tools like Puppeteer/Playwright and are eager to delve deeper into machine learning infrastructure.
Company Culture and Benefits
The founding team comprises talents from Scale AI, Meta, and other renowned tech backgrounds. Candidates can expect early-stage equity alongside a competitive salary package. This role comes with the unique opportunity to influence the future of browser automation and AI agents.
Why Join Us?
- Engage in building substantial ML infrastructure with challenging technical components
- Opportunity for early-stage equity and competitive salary
- Play a significant role in shaping the future landscape of browser automation and AI.