Join an exciting opportunity as a
Founding Engineer at a stealth early-stage startup focused on revolutionizing critical AI infrastructure.
This innovative team is addressing a significant gap in the market:
automating browser-based workflows. Current AI systems often fall short in this area, and instead of utilizing existing models, they are building
first-principles core infrastructure that will allow for groundbreaking advancements in browser agents, including hyper-realistic web simulations, annotation frameworks, RL training environments, and robust benchmarking tools resistant to factors like web drift and IP bans.
The founding team boasts impressive backgrounds from
Scale AI, Meta, and other leading tech companies. They are seeking a talented
early-career engineer (0-2 years of experience) with strong
Python/TypeScript expertise and practical
machine learning experience (including model training, infrastructure development, and experimental execution).
This role goes beyond mere prompt-engineering or fine-tuning. You will tackle complex ML and infrastructure challenges daily, contribute to the creation of a 'browser agent gym,' and deliver real systems that will be essential to users.
Why should you consider this opportunity? - Engage in building sophisticated ML infrastructure with significant technical challenges.
- Receive early-stage equity along with a competitive salary.
- Help shape the future of browser automation and AI agent technology.
Bonus points if you have experience with
RL agents,
Puppeteer/Playwright, or possess a passion for diving deep beyond just fine-tuning.