Machine Learning Research Scientist
Surge
Software Engineering
Posted on Jul 2, 2025
Machine Learning Research Scientist
About Us
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. 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 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
Deep Understanding of Machine Learning – Experience with large models, generative AI, or alignment methods
Scrappy, Outcome-Oriented Mindset – Comfortable working in ambiguous spaces, shipping quickly, and refining as you go
Collaborative Instincts – Excitement to partner with world-class researchers, data scientists, and engineers
Interest in Human Feedback Systems – Enthusiasm for using human-in-the-loop methods to shape model behavior and safety
Examples of Work You Might Do
Prototype a new red-teaming workflow using LLMs as adversarial agents
Design reward model experiments and run offline evaluation pipelines
Explore methods for filtering or structuring model training data to improve safety and robustness
How to Apply
To apply, please email careers@surgehq.ai 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!