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Dandy Logo Dandy · IT - Software Development

Engineering Manager, Machine Learning Platform

United States 216750.00 - 255000.00 USD / Year · Job Posted February 18, 2026
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Job Description

Dandy is transforming the massive and antiquated dental industry. We are establishing a world-class Machine Learning & Computer Vision team to enhance our 3D dental platform and automate many of the human-driven processes in our manufacturing today. We are seeking an experienced Engineering Manager, Machine Learning to lead a team of ML Platform Engineers. You will play a key role in laying the foundation that will drive the team’s success—establishing best practices, solving ambiguous data problems with industry-wide impact, and fostering a culture of innovation.

Job Responsibility

  • Lead execution of the ML roadmap, with a focus on building scalable, production-grade ML Platform infrastructure for 3D deep learning and computer vision applications
  • Build and lead a high-performing ML Platform team, with an emphasis on reliability, reproducibility, and efficient model lifecycle management
  • Partner with product, engineering, and research stakeholders to translate ML innovations into robust, deployable systems that support key business objectives
  • Oversee the end-to-end deployment of computer vision models that extract structure from complex 3D scan data, ensuring production readiness and performance at scale
  • Drive experimentation and implementation of SOTA techniques for 3D generative AI, while ensuring they are integrated into robust ML Platform workflows
  • Collaborate cross-functionally to identify pain points and bottlenecks in current ML pipelines and deliver improvements through automation and tooling
  • Manage large-scale data pipelines, versioning, and labeling workflows to support both generalized and fine-tuned model development
  • Define and implement rigorous evaluation and monitoring strategies to maintain high model quality, mitigate drift, and ensure reliability in production
  • Establish and maintain best practices for CI/CD of ML models, including model versioning, rollback mechanisms, and monitoring for performance and integrity.

Requirements

  • Bachelor’s in Computer Science, Electrical Engineering, Robotics, or a related field
  • 5+ years of industry experience in applied machine learning
  • at least 2+ years in a leadership or management role
  • Deep understanding of ML Platform best practices: CI/CD for ML, model deployment, observability, and lifecycle management
  • Strong people management skills with a track record of team development, hiring mentorship, and retention
  • Strong Python skills and experience with ML frameworks (PyTorch, TensorFlow, scikit-learn)
  • Hands-on experience with model optimization, hyperparameter tuning, evaluation, monitoring, and benchmarking
  • Familiarity with Docker, Kubernetes, Kubeflow, and cloud platforms (AWS, GCP, or Azure)
  • preference for GCP tools (Vertex AI, BigQuery, Dataflow, GKE)
  • Demonstrated ability to lead cross-functional efforts across product, engineering, research, and operations.

What we offer

  • Offers Equity
  • healthcare
  • dental
  • mental health support
  • parental planning resources
  • retirement savings options
  • generous paid time off
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