> Markdown version of [/jobs/ext/4691504-senior-machine-learning-engineer](https://www.wearedevelopers.com/jobs/ext/4691504-senior-machine-learning-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Machine Learning Engineer - **Company:** Ai Data Innovation Corporation - **Location:** United States (Remote available) - **Experience:** Expert - **Salary:** $150,000 - $180,000 - **Contract:** Permanent contract - **Skills:** 3d Models, Computer Vision, Code Review, Machine Learning, Graph Neural Networks, Pytorch, Deep Learning - **Published:** November 12, 2026 - **Apply:** https://arc.dev/remote-jobs/j/redirect/pyvt6xz2hu ## About the Role * 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. ## Description 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.