Senior Machine Learning Engineer, CAD Computational Design
ABOUT HIKE MEDICAL
Hike Medical is reinventing how custom orthopedic products are made. Starting from nothing but a smartphone video, we reconstruct an accurate 3D model of a person's foot and turn it into a custom-manufactured insole — automating a workflow that has traditionally depended on plaster casts, manual measurement, and hand design. We're a Series A company moving fast across AI, 3D reconstruction, computational design, and additive manufacturing, and we're expanding from insoles into the broader world of orthotic and prosthetic (O&P) devices.
THE ROLE
We're hiring a machine learning engineer to work on our Computational Design / CAD to own the parametric design layer behind our products. This person lives between software engineering and product design. The core of the job is translating expert clinical knowledge into parametric systems: sitting with clinicians and design experts, figuring out what the parameter space actually is for a given device, understanding which constraints matter, and encoding all of that into CAD pipelines we can automate and layer AI on top of.
Our design generation (SoleGen) started as an AI-first, end-to-end system trained on thousands of 3D insoles. That approach automates most of our existing designs well, but it struggles to extrapolate to expert-driven design changes and to new device categories where we have little or no training data. Our next chapter is a CAD-driven system with AI on top — procedural, parametric models anchored to anatomical landmarks, with AI predicting the right parameters rather than generating geometry end-to-end. This is the discipline we need you to lead.
You'll work closely with our AI team, our clinical and design experts, and our manufacturing team to build the systems that turn a reconstructed foot and a set of clinical requirements into a manufacturable, custom device — reliably, flexibly, and at scale.
WHAT YOU'LL DO
- Design and build parametric, procedural CAD pipelin...