Lead the development and improvement of the environment, platform capabilities, and operational foundations that support machine learning workflows across Oura.
Drive the design and unification of workflows and tooling that support reliable training, orchestration, and deployment of ML systems.
Partner with data scientists and engineers to improve the end-to-end ML lifecycle, from experimentation and training through deployment and governance.

Requirements:

5+ years of experience in MLOps, machine learning engineering, platform engineering, data engineering, or a closely related field.
Hands-on experience running production workloads in AWS and a strong understanding of cloud infrastructure concepts.
Strong understanding of the machine learning lifecycle, including training workflows, deployment patterns, monitoring, and ongoing model maintenance.

Benefits:

Competitive salary and equity packages
Health, dental, vision insurance, and mental health resources
20 days of paid time off plus 13 paid holidays plus 8 days of flexible wellness time off

Oura

Oura empowers people to own their inner potential through its award-winning Oura Ring and app, providing daily health insights. As a quickly growing company, we focus on team well-being and helping people live healthier, happier lives.

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