Senior Machine Learning Engineer

We're building the operating system for dental — the infrastructure that lets a dental operation run on AI, from case intake to finished restoration.

Our founders spent years inside dental labs, fighting software that tracked cases without understanding them. So they built the system they wished they'd had.

Two products, one engine. ClearPath is the platform a lab runs on. Orovia is the 3D engine that reads the clinical work moving through it. AI-native, not bolted on — every case sharpens the models, every feature ships to real labs against real deadlines.

Small, fully remote team. Hard problems in 3D geometry, machine learning, and production software.

The role

You own the hardest 3D models end to end — architecture, evaluation, deployment — and set the bar the rest of the team holds.

• Set technical direction. Turn fuzzy clinical goals into well-scoped ML tasks, and decide what's worth building.
• Define the accuracy bar. Sub-millimeter margins, tooth-identity-level precision — you set what "good enough to ship" means and prove it.
• Own the evaluation. Held-out and out-of-distribution test sets, the metrics that matter, the scorecards no one argues with.
• Architect the data backbone. The ground-truth, adjudication, and provenance pipelines that feed every model — kept honest as the dataset grows.
• Push the stack forward. PyTorch, geometric deep learning (GNNs, point-cloud networks), multi-view CNNs, SDF and implicit representations, foundation-model embeddings.
• Multiply the team. Code review, pairing, mentorship. A senior here is measured by the team's output, not just their own.

You

• 5+ years in applied ML or deep learning, with multiple models taken from prototype to production — and kept healthy there.
• Deep PyTorch and strong computer-vision / deep-learning foundations. A degree in math, CS, physics, or ML — or a track record that makes the degree beside the point.
• Evaluation rigor you've already set for others: you think hard about generalization and out-of-distribution behavior, and separate signal from noise by reflex.
• You scope ambiguous problems, drive them to a shipped result, and explain the tradeoffs to an engineer or a founder alike.

No dental background needed — that's learnable, and we'll teach it. Depth in 3D ML is what we're hiring for; strong geometric CV from another domain (robotics, AR/VR, medical imaging) carries over.

Bonus: 3D data at depth (meshes, point clouds, volumetric) · geometry processing (registration, remeshing, SDF, mesh signal processing) · dental or medical 3D imaging (intraoral scans, CBCT) · MLOps at production scale · self-supervised pretraining or transfer from limited labels · leading a team or workstream.

The offer

• $150k–$180k + potential equity.
• Fully remote, anywhere in Canada. Remote-first and async, with a short path from idea to production.
• Real ownership of production 3D ML, built on a large and growing proprietary dataset.
• A senior seat on a small team, where the models you build and the standards you set shape the product — with direct access to, and real influence over, where technical direction goes.