About Us

Our mission is to raise AGI with the richness of human intelligence — curious, witty, imaginative, and full of unexpected brilliance.

Surge was founded by engineers and researchers who dreamed of building the next generation AI. We're building a platform that powers the most powerful models in the world in partnership with companies like OpenAI, Anthropic, Meta, and Google.

At Surge, we believe the path to AGI isn't just about scaling compute—it's about embracing the unlimited ceiling of human intelligence and creativity in the data that shapes these systems. Our platform combines elite human expertise with cutting-edge tools for scalable oversight, from building rich RL environments to conducting rigorous evaluations that go beyond benchmarks. We've run a profitable business from day one without raising venture funding.

The Role

As a Machine Learning Research Scientist, you’ll help shape how the world’s most advanced AI models are trained, aligned, and evaluated. You’ll work on highly practical problems at the intersection of research and deployment — from designing model-in-the-loop data pipelines, to evaluating frontier LLMs, to prototyping new methods for data-centric RLHF.

You’ll collaborate closely with our internal engineering team and our partners at top AI labs, turning research ideas into systems that improve real-world model behavior. This is a role for someone who wants to move fast, stay close to production, and make research that matters.

What We’re Looking For

What You’ll Do

How to Apply

To apply, please email [email protected] with your background and interest in collaborating with Surge. Please include the name of the role you’re applying for in the subject line or email body. We welcome personal projects and writings!