Machine Learning Engineer, 3D Geometry

About Molaris

Molaris is building the operating system for the dental industry: the infrastructure that lets a dental operation run on AI, from case intake to finished restoration. Our founders spent years inside dental labs, working through software that tracked cases without understanding them. So we built the system they wished they'd had.

Two products, one system. ClearPath is the workflow and case-management platform an entire lab runs on. Orovia is the 3D engine that reads the clinical work moving through it.

AI-native, not AI-bolted-on. Every case processed makes the models sharper. Every feature ships to working labs, on real cases, against real deadlines.

We're a small, fully remote team solving hard problems in 3D geometry, machine learning, and production software.

What you'll do:

• Train, optimize and ship 3D models end to end, with senior support on the trickiest architecture and deployment calls.
• Own the problem, not just the training loop. Help frame the task, curate the labeled data, choose the architecture, train it, and package it for deployment.
• Hold a high accuracy bar. These problems demand sub-millimeter margins and tooth-identity-level precision. You will learn to tell the difference between a real gain and noise.
• Build honest evaluation. Design held-out and out-of-distribution test sets, track the metrics that matter (per-tooth accuracy, margin error in millimeters, ROC), and keep the scorecards trustworthy.
• Help own the data backbone. Curate large intraoral-scan datasets, contribute to ground-truth and adjudication pipelines, and keep provenance clean.

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• Work across a modern ML/3D stack. PyTorch, geometric deep learning (GNNs, point-cloud networks), multi-view CNNs, SDF and implicit representations, and foundation-model embeddings.

What we're looking for:

• Intermediate or senior. 3+ years in applied ML or deep learning, with at least one model you took past prototype into production. Scope, title and compensation scale with what you bring.
• Strong PyTorch, solid computer-vision and 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 design honest tests, think about generalization and out-of-distribution behavior, and separate signal from noise.
• Ownership. Comfort taking ownership of well-scoped problems and driving them to a shipped result, with mentorship and code review available when you need it.
• Clear communication. You can explain a modeling decision, its tradeoffs and its limits, to an engineer or a founder.

You do not need a dental or medical background. That part is learnable, and we will teach it; depth in 3D machine learning is a plus. Strong 3D or geometric CV work from another domain (robotics, VR/AR, medical imaging) carries over.

Nice to have:

• Hands-on experience with 3D data (meshes, point clouds, or volumetric), or adjacent geometric and CV work you can carry over.
• Dental, medical, or clinical 3D-imaging experience (intraoral scans, CBCT).

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• Geometry processing: registration, remeshing, SDF and implicit surfaces, mesh signal processing.
• Model deployment and MLOps: inference packaging, Docker, reproducible release artifacts.
• Foundation models, self-supervised pretraining, or transfer learning from limited labels.
• Experience presenting technical work directly to founders or executives.

How We Work:

Remote-first and asynchronous. A short path from idea to production, real ownership of the models you build, and direct access to the person setting technical direction. We keep the team small and the standard high.

What We Offer:

• Competitive startup salary ($110k - $150k+), with potential equity participation.
• Room to build. The ML team is early. For the right person that means shaping the models, the eval standards and how the team works, not just the training loop.
• Production 3D ML on a large and growing proprietary dataset of real lab cases.
• Fully flexible remote work anywhere in Canada health & dental benefits, flexible vacation.
• A modern stack and a team working at the intersection of dentistry and applied AI.