Engineering Manager, Machine Learning Platform

Dandy

Work style

remote

Job type

full-time

Experience

mid

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 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.

What You'll Do

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.

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 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.

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.

This role is no longer accepting applications.