Role overview
We are building AI-powered CAD to fundamentally change how hardware is designed and manufactured. Founded by repeat deep-tech entrepreneurs with experience from top YC companies and frontier robotics, We are turning CAD into an intelligent collaborator that understands design intent and autocompletes the work. Their mission is to let hardware teams move from weeks of repetitive clicking to minutes of high-leverage engineering, so they can focus on the hard physics and product decisions instead of manual drafting.
What you'll work on
As Machine Learning Research Engineer, you’ll own the full lifecycle of ML systems that power our AI-driven CAD product. You’ll move between deep research and hands-on engineering: scoping problems with the founders, designing and training novel models, and getting them into robust production code. A big part of the role is turning messy, real-world geometry and design data into usable training signals, then iterating quickly based on performance, reliability, and customer feedback. You’ll collaborate closely with our backend engineers on data pipelines, APIs, and infra, and you’ll play a key role in setting technical direction for how we apply ML to accelerate hardware design.
What we're looking for
We’re looking for a senior, fundamentals-strong ML engineer who is as comfortable reading papers and inventing new approaches as they are writing clean, production-ready Python. The right person has hands-on experience training models (not just calling hosted APIs), understands modern deep learning frameworks like PyTorch inside-out, and can reason about architecture, data, and evaluation trade-offs. You should be able to independently drive projects from idea to shipped feature, collaborate well with a small, high-caliber team, and thrive in an early-stage startup environment where requirements are ambiguous, ownership is high, and the bar for code quality and rigor is serious.
Interview process
Short survey – Initial call. – Take-home coding & ML exercise. – Onsite / virtual technical interviews. – Offer & closing