Engineering Manager, Machine Learning Operations

In the past 3 years, Dandy has built the leading digital-first custom dental appliance manufacturer. As we scale to our next level of growth, 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 MLOps 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.

What You'll Do

• Lead execution of the ML roadmap, with a focus on building scalable, production-grade MLOps infrastructure for 3D deep learning and computer vision applications.
• Build and lead a high-performing MLOps 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 MLOps 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.

What We're Looking For

• Bachelor’s in Computer Science, Electrical Engineering, Robotics, or a related field
• 5+ years of industry experience in applied machine learning, with at least 2+ years in a leadership or management role.
• Deep understanding of MLOps 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.
• Experience working with 3D data (point clouds, meshes, volumetric data) and 3D ML frameworks is preferred