Senior AI Scientist

Our mission at Oura 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 2.5 million 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. 

 We have offices in San Francisco and San Diego for those who prefer hybrid or office settings. Oura in other major cities (like Boston and New York) occasionally gather informally at local co-working locations.

We are looking for a Senior AI Scientist to join us to pioneer in the frontline of health AI. You will be one of the founding AI scientists developing genAI-powered capacities and features for Oura’s next-gen products.

What you will do: 

• Design and optimize generative AI models, including LLMs, VAEs, and diffusion models, for applications like NLP and time-series forecasting in the health and wellness domain. Enhance efficiency for edge AI using model compression, quantization, and knowledge distillation.
• Develop evaluation frameworks, metrics, and high-quality datasets to assess model effectiveness for health and wellness. Especially focus on curating and building datasets for training, validation, and benchmarking to ensure reliability, interpretability, and clinical relevance.
• Systematically monitor and refine AI models through iterative improvements, leveraging real-world performance data, user feedback, and A/B testing. 
• Work closely with other scientists, engineers, and product teams to integrate AI-driven features into Oura’s products in the most efficient way.
• Keep up with advancements in generative AI, assess their applicability to health and wellness, and experiment with new techniques to maintain Oura’s technological edge.
• Implement safeguards against bias, hallucinations, and misinformation while ensuring AI models uphold transparency, fairness, and user privacy.

This is a remote US role with a strong preference for candidates based on the San Francisco Bay Area.

Requirements

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

• Have a PhD degree in computer science, AI, machine learning, biomedical engineering or related files with 1+ years work experience OR a Master degree with 3+ years work experience
• Have industrial experience in developing and deploying generative AI models into production (LLMs, VAEs, GANs, diffusion models) 
• Have 3+ years of solid programming experience in Python and code collaboration tools (git, peer review, etc).
• Have 3+ years of experience using ML frameworks (PyTorch etc) (edge AI optimization experience is a huge plus).
• Passionate about genAI applications in health and wellness domain
• Have a pragmatic can-do attitude and delivery-focused mindset: you can move quickly and prioritize effectively
• Have good asynchronous communication skills and can accommodate occasional off hour meetings to work with Oura’s European teams

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 and add to our benefits!

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
• Amazing culture of collaborative and passionate coworkers

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 - $240,000
• Region 2 $187,000 - $220,000
• Region 3 $174,000 - $209,000

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

We are not considering candidates residing in the following states: Alaska (AK), Arkansas (AR), Delaware (DE), Iowa (IA), Mississippi (MS), Missouri (MO), Nebraska (NE), Oklahoma (OK), Rhode Island (R