Principal Computer Vision Data Scientist - Manufacturing

Medtronic Inc.•Fridley, MN

31d•Onsite

About The Position

At Medtronic you can begin a life-long career of exploration and innovation, while helping champion healthcare access and equity for all. You'll lead with purpose, breaking down barriers to innovation in a more connected, compassionate world. A Day in the Life In this role, you will drive the strategic development of scalable AI and MLOps platforms for defect inspection and visual process monitoring across Manufacturing within Medtronic's diverse product portfolio. You will convert proof-of-concepts into production-grade solutions deployed into Manufacturing. You will ensure global scalability, reliability, and compliance in regulated manufacturing environments. At Medtronic, we bring bold ideas forward with speed and decisiveness to put patients first in everything we do. In-person exchanges are invaluable to our work. We're working a minimum of 4 days a week onsite as part of our commitment to fostering a culture of professional growth and cross-functional collaboration as we work together to engineer the extraordinary. People-centered, data-driven, connected. We're solving the world's biggest health challenges with medical device technology. From less-invasive surgery to the world's smallest pacemaker, our technology transforms lives - powered by AI and data-driven insight.

Requirements

Bachelor's Degree and 7+ years of AI/ML engineering experience, including computer vision and MLOps, OR Master's degree with 5+ years of experience OR PhD with 3+ years of experience

Nice To Haves

Proven track record of designing and deploying production-grade AI/ML solutions in manufacturing environments
Ability to collaborate effectively with a wide range of stakeholders and internal customers, from manufacturing process to quality and automation engineers
The ability and self-motivation to take a strategy and vision, define and manage project deliverables, and deliver scalable project outcomes
Expertise in AWS SageMaker, PyTorch, and MLOps toolchains (ClearML, GitLab CI/CD, Docker, Kubernetes/EKS, Helm, Triton Inference Server)
Strong Expertise in computer vision algorithm development, leveraging both deep learning and hybrid rules-based approaches (Halcon, OpenCV)
Proficiency with data curation and annotation platforms (Voxel51, V7) for large-scale model training
Excellent communication and knowledge-sharing skills, with experience building Centers of Excellence, technical standards, and training frameworks
Ability to collaborate effectively with a wide range of stakeholders and internal customers, from manufacturing process to quality and automation engineers
Experience scaling Industry 4.0/IoT cloud-to-edge AI architectures
Experience in validation and performance analysis (MSA, IQ/OQ/PQ, TMV) ensuring regulatory compliance and reliability
Experience with transfer learning and training domain-specific models using self-supervised learning and foundation model adaptation

Responsibilities

Define and execute the strategic roadmap for Analytics for Manufacturing Imaging, including data ingestion, annotation governance, model training, deployment, and lifecycle management
Provide strategic leadership for the Manufacturing Imaging & Analytics Center of Excellence, setting best practices and enabling adoption of AI/ML solutions at global manufacturing sites
Architect end-to-end workflows in AWS SageMaker, NVIDIA TAO Toolkit, PyTorch, and other custom training pipelines, ensuring reproducibility, scalability, and regulatory compliance
Develop advanced computer vision solutions, including segmentation, anomaly detection, and transformer-based vision models, while integrating hybrid approaches using Halcon and OpenCV
Prototype and adapt foundation models (e.g., DINOv2, SAM 2.1) using transfer learning and self-supervised methods, translating research into validated, domain-specific solutions for manufacturing
Lead initiatives to operationalize DataOps automation and model-assisted annotation to accelerate high-quality ground-truth creation
Plan and direct AI/ML model from experimentation to deployment, ensuring performance benchmarking, validation, and compliance with medical device quality standards
Build compelling business cases supported by ROI analysis and projected operational benefits to prioritize enterprise AI/ML initiatives
Partner with Manufacturing, Automation, Process, Quality, and IT to ensure seamless integration of AI/ML models and algorithms into production systems
Engage with external vendors, integrators, and suppliers to align internal platform development with cutting-edge AI/ML and industrial technologies
Champion training, knowledge-sharing, and technical playbooks to democratize AI/ML practices and accelerate adoption across the enterprise

Benefits

Medtronic offers a competitive Salary and flexible Benefits Package
We offer a wide range of benefits, resources, and competitive compensation plans designed to support you at every career and life stage.
Health, Dental and vision insurance, Health Savings Account, Healthcare Flexible Spending Account, Life insurance, Long-term disability leave, Dependent daycare spending account, Tuition assistance/reimbursement, and Simple Steps (global well-being program).
Incentive plans, 401(k) plan plus employer contribution and match, Short-term disability, Paid time off, Paid holidays, Employee Stock Purchase Plan, Employee Assistance Program, Non-qualified Retirement Plan Supplement (subject to IRS earning minimums), and Capital Accumulation Plan (available to Vice Presidents and above, or subject to IRS earning minimums).

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