Senior MLOps Engineer

🕒 August 4

🇺🇸 United States – Remote

💵 $147.9k - $203k / year

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 37%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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ŌURA

WebsiteLinkedInAll Job Openings

201 - 500 employees

🏥 Healthcare

🏭 Manufacturing

💼 Consulting

Healthcare • Manufacturing • Consulting

ŌURA is a company that produces smart rings designed to provide in-depth health metrics and insights. The Oura Ring tracks a variety of health-related data such as sleep patterns, heart rate, activity levels, and stress. It aims to help users live healthier and more productive lives through accurate biometrics tracked via a comfortable ring worn all day and night. With features that benefit women's health, heart health, and overall wellness, ŌURA rings are marketed as both technologically advanced and user-friendly devices for personal health monitoring.

📋 Description

• Lead the development and improvement of environments, platform capabilities, and operational foundations supporting machine learning workflows across Oura • Drive the design and unification of workflows and tooling for reliable ML training, orchestration, and deployment • Partner with data scientists and engineers to improve the end-to-end ML lifecycle from experimentation and training through deployment and governance • Define and evolve model governance practices, including reproducibility, lineage, access controls, and operational standards • Standardize ML tooling and workflows such as experiment tracking, model packaging, and promotion processes • Collaborate across business domains to onboard use cases, prioritize platform improvements, and mature shared ML capabilities • Identify and resolve reliability, scalability, and cost-efficiency issues in cloud ML infrastructure • Drive standards, automation, infrastructure-as-code, CI/CD, and documentation across data science teams • Improve infrastructure automation, CI/CD, and observability for ML workflows • Contribute to workflow orchestration and platform integrations for model training and batch inference at scale • Partner with data engineering and platform teams on broader data platform and governance practices • Shape best practices for building, shipping, and maintaining production ML systems

🎯 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 across ML systems, monitoring, and ongoing model maintenance • Familiarity with data science ways of working and tooling such as MLflow • Familiarity with workflow orchestration, infrastructure-as-code, and CI/CD practices for ML or data platforms • Familiarity with secure access patterns, governance controls, and shared cloud or data platform services that support ML work at scale • Experience building or supporting production-grade ML workflows with a focus on reliability, reproducibility, and maintainability • Proven ability to drive standards and improvements across multiple teams and business domains • Strong communication and collaboration skills, with the ability to work effectively with both technical and non-technical stakeholders • Comfort operating in a distributed team with a high degree of ownership and autonomy • Not eligible if residing in Alaska, Delaware, Iowa, Mississippi, Nebraska, South Dakota, West Virginia, or Wisconsin

🏖️ Benefits

• Competitive salary and equity packages • Health, dental, vision insurance, and mental health resources • An Oura 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