Senior AI Scientist

We are looking for a Senior AI Scientist to help define and build the next generation of AI-powered health experiences at Oura. This is a hybrid role that blends AI engineering, ML deployment, backend engineering, and applied science — sitting at the intersection of cutting-edge AI techniques and real consumer impact. You will work on a small, high-ownership team with direct visibility to senior leadership, driving the evaluation, development, and deployment of custom AI solutions and agentic systems that power Oura's AI Advisor.

This is not a research role. You will be expected to move from idea to production, own systems end to end, and proactively identify what to build next.

What You Will Do

• Build, deploy, and maintain production-grade AI and ML pipelines, backend services, and infrastructure that support Oura's AI Advisor and custom model initiatives
• Design and implement evaluation systems and tooling to measure grounding, reliability, and actionability of LLM and agentic systems in production
• Develop and deploy agentic AI systems in production
• Lead initiatives end to end — from problem definition and research through deployment, monitoring, and iteration
• Partner with Product and Engineering teams to translate data-driven insights into shipped product features
• Build and optimize custom AI solutions through fine-tuning, knowledge distillation, and quantization
• Help build Oura as a leader in AI expertise and infrastructure
• Proactively identify opportunities to improve the product and bring your own ideas to the table

This is a remote US role.

Requirements

We would love to have you on our team if you have:

• 5+ years of experience in production AI or ML work — you have shipped models and systems used by real external users
• Strong backend engineering fundamentals — you have built APIs, infrastructure, logging, and monitoring systems for production ML or AI pipelines and are comfortable owning them on-call
• Demonstrated experience building, deploying, and evaluating LLM or agentic systems in production environments
• Strong programming skills in Python and experience with ML and AI frameworks
• Experience leading projects end to end — from research and problem definition through deployment and monitoring
• The ability to operate with high autonomy in an ambiguous, fast-moving environment where you define your own roadmap
• Strong communication skills — you can distill complex technical work for non-technical stakeholders including senior leadership

Preferred skills:

• Experience building AI agents and multi-step agentic workflows
• Experience with fine-tuning, knowledge distillation, or quantization of LLMs
• Familiarity with cloud infrastructure (AWS, CDK)
• Background in consumer health, wellness, or personalization AI

Benefits 

At Oura, we care about you and your well-being. Everyone here at Oura has a ring of their own and we are continually looking to improve employee health.

What we offer:

• 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

Oura takes a market-based approach to pay, which may vary depending on your location. US locations are categorized into tiers based on a cost of labor index for that geographic area. While most offers will be closer to the starting range, successful candidates' pay will be determined based on job-related skills, experience, qualifications, work location, internal peer equity, and market conditions. These ranges may be modified in the future.

• Region 1  $203,000 - $233,000
• Region 2  $187,000 - $215,000
• Region 3  $174,000 - $200,000

A recruiter can determine your zones/tiers based on your US location.

We are not considering candidates residing in the following states: Alaska (AK), Delaware (DE), Iowa (IA), Mississippi (MS), Missouri (MO), Nebraska (NE), South Dakota (SD), Vermont (VT), West Virginia (WV), and Wisconsin (WI)