Machine Learning Environment Engineer- Remote- San Francisco Startup

Machine Learning Environment Engineer- Remote- San Francisco Startup

Remote | Full-Time | Contract

Pay rate $40- 65 an hour

Join a fast-moving U.S. startup building critical infrastructure for the world’s leading AI companies. We’re developing the environments in which intelligent coding agents learn Machine Learning — from training neural networks to implementing new optimization algorithms. Our systems enable frontier AI models to reason, experiment, and advance autonomously.

About the Role

As an Environment Engineer (ML) , you’ll build simulation environments that teach coding agents to be proficient in Machine Learning. You’ll design robust testing infrastructure to evaluate AI-generated ML code on real-world engineering tasks — from training reinforcement learning agents to debugging complex model training loops. You’ll also automate key parts of the testing and benchmarking process to accelerate agent learning and performance evaluation.

The tools you build will directly shape how next-generation AI systems learn and execute ML research.

What You’ll Do

• Build testing environments that simulate ML workflows, including model training, data preprocessing, and evaluation.
• Design automated pipelines to benchmark model training performance and stability.
• Implement, test, and validate new algorithms from ML research papers to verify coding agents’ understanding and execution.
• Develop robust, reproducible experiments for reinforcement learning, deep learning, and optimization tasks.
• Collaborate with an elite engineering team that has built core AI infrastructure at leading labs and startups.

What We’re Looking For

Why Join

Interview Process

#J-18808-Ljbffr