We’re building a platform that powers the biggest AI groups in the world, including OpenAI, Anthropic, Meta, and Google with human feedback data for evaluating and training their models. Surge was founded by former ML engineers focused on providing the highest quality data in the industry to push the state of the art forward. Instead of outsourcing to call centers overseas, we’ve built an elite workforce based in the US, custom annotation tools, and sophisticated quality control systems. Our product has been a “game-changer” for ML teams, and we’ve been able to run a profitable business from day one without raising venture funding.
You’d be joining a small, rapidly growing team of former engineering leaders and ML practitioners from Google, Meta, Twitter and Airbnb. Our tech stack is Ruby on Rails, React, and Python. We’re rapidly growing, and we’re hiring engineers across the stack: front-end, back-end, infra, and applied ML. No AI experience is required, you can learn on the job.
As a Product Engineer at Surge, you'll work on cutting-edge projects that directly impact the AI industry. You'll collaborate with a small, dynamic team of engineering leaders and ML practitioners from top tech companies to build products that support advanced AI training techniques, including Reinforcement Learning from Human Feedback (RLHF).
Join us in shaping the future of AI! You'll have the opportunity to learn about and contribute to cutting-edge AI development techniques, including RLHF, while building products that power the next generation of AI models.
To apply, please email [email protected] with a resume and 2-3 sentences describing your interest in Surge. We love personal projects and writings too!