Senior Manufacturing Data Science & Machine Learning Engineer

Posted: 2026-10-22

Our mission at ŌURA is to empower every person to own their inner potential. Our award-winning products help our global community gain a deeper knowledge of their readiness, activity, and sleep quality by using their Oura Ring and its connected app. We've helped millions of people understand and improve their health by providing daily insights and practical steps to inspire healthy lifestyles.

Empowering the world starts with living our values and empowering our team. As a quickly growing company focused on helping people live healthier and happier lives, we ensure that our team members have what they need to do their best work — both in and out of the office.

Oura is seeking a Senior Manufacturing Data Science & Machine Learning Engineer to build an intelligence layer for global manufacturing. In this hands-on, supplier-facing role, you will integrate factory images, deploy ML models, equipment signals, MES data, test results, and material genealogy into reliable production capabilities.You will deploy machine-vision and machine-learning solutions to enhance inspection, yield, process control, root-cause analysis, and traceability across contract manufacturers and suppliers. This role suits an engineer capable of working across factory floors, Python notebooks, and production data pipelines to deliver practical, robust analytics.

- Build manufacturing data foundations

- Architect and integrate end-to-end manufacturing data systems (MES, testers, cloud) across the supplier network to capture accurate production data.

- Standardize data models and improve traceability to ensure data integrity from raw components through to final product shipment.

- Establish robust data-quality checks, validation rules, and monitoring frameworks to drive reliable operational decision-making.

- Develop machine-vision systems for the factory

- Identify and implement high-value machine vision and image-based inspection opportunities across factory operations.

- Design and deploy end-to-end vision systems, covering hardware specifications (optics, cameras, lighting) and the development of robust classical and deep-learning algorithms.

- Establish data-labeling workflows and model validation frameworks to translate vision insights into actionable manufacturing decisions that optimize yield and quality.