Engineering Manager, Machine Learning Operations

Dandy is transforming the massive and antiquated dental industry—an industry worth over $200B. Backed by some of the world’s leading venture capital firms, we’re on an ambitious mission to simplify and modernize every function of the dental practice through technology. As we expand our reach globally, Dandy is building the operating system for dental offices around the world—empowering clinicians and their teams with technology, innovation, and world-class support to achieve more for their practices, their people, and their patients.

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.

• 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.
  

• 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

For full-time positions, Dandy offers a wide range of best-in-class, comprehensive, and inclusive benefits tailored to each country where we operate. Our local benefits packages typically include healthcare, dental, mental health support, parental planning resources, retirement savings options, and generous paid time off—ensuring our team members are supported no matter where they live and work.

Dandy is proud to be an equal-opportunity employer. We are committed to building a diverse and inclusive culture that celebrates authenticity to win as one. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, citizenship or immigration status, or any other legally protected characteristics.

Dandy also fully complies with the Americans with Disabilities Act (ADA). We are dedicated to embracing challenges and creating an accessible, inclusive workplace for all individuals. If you require any accommodations for your interview or have any questions beforehand, rest assured that we will do everything we can to meet your needs. Visit Dandy Careers for more!