Senior Manufacturing Data Science & Machine Vision Engineer

Location: Hybrid — San Francisco, California, United States. Regular travel to manufacturing sites in Asia and other supplier locations is required. Candidates residing in Alaska, Delaware, Iowa, Mississippi, Nebraska, South Dakota, West Virginia, or Wisconsin are not being considered.

Salary: $172,550–$203,000 annually for Region 1; pay varies by US location, skills, experience, qualifications, internal equity, and market conditions.

Company

hirify.global develops connected health products, including the Oura Ring and app, which provide insights into readiness, activity, sleep quality, and healthy lifestyle habits.

What you will do

• Architect and integrate manufacturing data systems across MES, testers, cloud platforms, suppliers, and contract manufacturers.
• Standardize data models, traceability, data-quality checks, validation rules, and monitoring from raw components through final shipment.
• Design and deploy machine-vision inspection systems, including optics, cameras, lighting, classical algorithms, and deep-learning models.
• Build automated ML and vision analytics, dashboards, alerts, reusable libraries, and tools to detect defects, anomalies, process drift, and yield loss.
• Explore digital twins and simulation for manufacturing scenarios, capacity, and process-flow optimization.
• Lead data, machine-vision, and analytics workstreams across EVT, DVT, mass production, and sustaining; collaborate with suppliers and equipment vendors on requirements, acceptance criteria, deployment, and maintenance standards.

Requirements

• 5–8 years of relevant experience in manufacturing software, industrial data science, machine vision, automation, test engineering, supplier development, or an equivalent combination of experience.
• Bachelor’s or master’s degree in computer science, electrical engineering, mechanical engineering, manufacturing engineering, robotics, data science, or a related field.
• Experience deploying software, analytics, or machine-learning solutions in a factory, lab, warehouse, or other production environment.
• Strong Python programming skills and experience with pandas, NumPy, scikit-learn, PyTorch, or TensorFlow.
• Experience with computer vision and image processing, including OpenCV, image classification, object detection, segmentation, OCR/OCV, anomaly detection, or metrology.
• Understanding of MES, manufacturing test systems, equipment interfaces, PLC or industrial-control data, and unit-level traceability.
• Experience with statistical methods, design of experiments, process capability, SPC, measurement-system analysis, or manufacturing-quality analysis.
• Ability to work directly with contract manufacturers, suppliers, equipment vendors, and cross-functional engineering teams.
• Willingness and ability to travel regularly to manufacturing sites in Asia and other supplier locations.

Nice to have

• Experience integrating cameras, lighting, lenses, barcode readers, robots, PLCs, motion systems, or automated inspection equipment.
• Experience with digital manufacturing, discrete-event simulation, digital twins, or factory capacity modeling.
• Experience with electronics, batteries, precision assembly, SMT, molding, coatings, laser processing, or other high-volume consumer-electronics manufacturing processes.
• Strong technical writing and stakeholder-management skills, including the ability to influence without direct authority.

Culture & Benefits

• Health, dental, vision, and mental-health resources.
• Competitive salary and equity packages.
• Oura Ring and employee discounts for friends and family.
• 20 days of paid time off, 13 paid holidays, and 8 days of flexible wellness time off.
• Paid sick leave and parental leave.
• Hybrid work from the San Francisco office.