Founding Machine Learning / Research Engineer

About this role

As a Founding ML / Research Engineer, you'll advance AI's ability to do real hardware engineering. We works with leading space and defence, manufacturing, and robotics companies to assess heir engineers on real engineering tasks. That gives us expert-calibrated rubrics and recorded human engineering workflows that don't exist anywhere else. Your job is to turn that into tasks and signals that models can learn from.

Specifically, you will

• Design and implement RL environments and evaluations for agentic CAD and ECAD work across mechanical and electrical engineering
• Build the graders, reward signals, and verification systems that score engineering work reliably
• Shape our assessment data into datasets and environments frontier AI labs can use in research and production training runs
• Collaborate with the ME and EE engineers who define correctness, and with the lab teams who use our environments for post-training
• Run experiments and help shape our research and product roadmap
• 3+ years of experience in machine learning engineering, with focus on production ML systems and multimodal models
• Tech stack-Python, PyTorch, Deep Learning, Foundation Models / LLMs, RAG, Vector Databases, Reinforcement Learning (RLHF), Multi-modal ML, CAD/ECAD Processing, MLOps

Hybrid in San Francisco, CA-Full-time position

Location-San Francisco, CA

Visa sponsorship details-Not open to any visas (e.g. US citizen, Green Card holders)

Pay: $150,000.00 - $250,000.00 per year

Work Location: Hybrid remote in San Francisco, CA 94114