Senior Manufacturing Data Science, Machine Vision Engineer

ŌURA

. Architect and integrate end-to-end manufacturing data systems across the supplier network, including MES, testers, and cloud systems .

Posted 10/22/2026full-timeSan Francisco • California • United StatesSenior💰 $172,550 - $203,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in architecting and integrating manufacturing data systems, with a strong focus on machine vision, data analytics, and automation. Proficient in deploying machine-learning solutions and establishing data-quality frameworks to enhance manufacturing processes.

Highest-signal resume keywords

Python ProgrammingMachine VisionData AnalyticsManufacturing SoftwareDigital Twins

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningData ModelingImage ProcessingStatistical MethodsProcess CapabilityAutomated InspectionDeep LearningComputer VisionData Quality ChecksManufacturing Test Systems

Soft Skills

Technical WritingStakeholder ManagementCollaborationInfluencing Without Authority

Tools & Technologies

OpenCVPandasNumPyScikit-learnPyTorchTensorFlowMESPLCDigital ManufacturingSimulation Tools

Industry Keywords

Manufacturing EngineeringIndustrial Data ScienceSupplier DevelopmentHigh-Volume Consumer ElectronicsDiscrete-Event Simulation

Tech Stack

Tools & technologies

AssemblyCloudNumpyPandasPythonPyTorchScikit-LearnTensorflow

About the role

Key responsibilities & impact

Architect and integrate end-to-end manufacturing data systems across the supplier network, including MES, testers, and cloud systems
Standardize data models and improve traceability from raw components through final product shipment
Establish data-quality checks, validation rules, and monitoring frameworks
Identify and implement machine-vision and image-based inspection opportunities
Design and deploy vision systems covering optics, cameras, lighting, classical algorithms, and deep-learning algorithms
Establish data-labeling workflows and model-validation frameworks
Build and deploy automated analysis engines and ML/vision models to detect process drift, defects, and anomalies
Implement dashboards and alerts correlating images with process parameters and test data
Develop reusable analytics libraries and tools across manufacturing programs and partner networks
Explore digital twins and simulation to model manufacturing scenarios, line capacity, and process flows
Lead data, machine-vision, and analytics workstreams through EVT, DVT, mass production, and sustaining
Collaborate with contract manufacturers, equipment vendors, and cross-functional teams on requirements, acceptance criteria, deployment, and maintenance standards
Prioritize industrial AI, vision, and connected-manufacturing opportunities
Define and communicate the long-term manufacturing intelligence roadmap and influence technical investments

Requirements

What you’ll need

5 to 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 techniques, 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 concepts
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
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, battery, 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

Benefits

Comp & perks

Competitive salary and equity packages
Health, dental, vision insurance, and mental health resources
An Ōura Ring of your own plus employee discounts for friends & family
20 days of paid time off plus 13 paid holidays plus 8 days of flexible wellness time off
Paid sick leave and parental leave