Staff Machine Learning Data Scientist

Our mission is to empower every person to own their inner potential. Award-winning products help the global community gain a deeper knowledge of their readiness, activity, and sleep quality by using their Ring and its connected app. Millions of people have been helped to understand and improve their health by providing daily insights and practical steps to inspire healthy lifestyles.

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

The company is looking for a professional to join its Science team. This high-impact role will focus on building robust, scalable, and accurate physiological machine learning models from large-scale wearable and health datasets. You’ll work closely with cross-functional partners across product, software engineering, and testing teams to develop the next generation of health insights.

This is a remote US role with a slight preference for candidates based on the East Coast.

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

What you will do:

• Design and develop scalable data generation pipelines that prioritize robustness, reproducibility, and quality across diverse physiological signals.
• Research, prototype, and implement novel ML architectures for large-scale time-series modeling of health and physiological data.
• Build scalable training pipelines to support high-throughput model development and iteration.
• Design comprehensive evaluation strategies for model performance and clinical validity.
• Collaborate cross-functionally with engineering, product, and validation teams to bring scientific models to production.
• Plan and support long-term roadmap and mentor junior team members on best practices in modeling and deployment.

Requirements

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

• Have a PhD in machine learning, artificial intelligence, biomedical engineering, or a closely related field.
• Bring 5+ years of relevant industry experience (post-PhD) working with applied ML in a product setting.
• Have hands-on experience developing and deploying large time-series models, especially those built on sequential physiological or wearable data.
• Demonstrate strong programming skills in Python and experience with cloud-based ML (e.g., AWS, Github, Pytorch, Docker).
• Possess a deep understanding of scalable ML workflows, including data pipelines, evaluation frameworks, and deployment to production.
• Self-starter and vision-driven with strong collaboration and communication skills and thrive in cross-functional settings.
• (Bonus) Have a background in physiology, health sensing, or digital biomarkers.
• (Bonus) Have experience shipping ML models in production environments and conducting real-world validation.

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

The company 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 $182,000 - $228,000
• Region 2 $169,000 - $211,000
• Region 3 $159,000 - $199,000

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)

The company is proud to be an equal opportunity workplace. We celebrate diversity and are committed to creating an inclusive environment for all employees. Individuals seeking employment are considered without regard to age, ancestry, color, gender (including pregnancy, childbirth, or related medical conditions), gender identity or expression, genetic information, marital status, medical condition, mental or physical disability, national origin, protected family care or medical leave status, race, religion (including beliefs and practices or the absence thereof), sexual orientation, military or veteran status, or any other characteristic protected by federal, state, or local laws. We will not tolerate discrimination or harassment based on any of these characteristics.

We will work to ensure individuals with disabilities are provided reasonable accommodation to participate in the interview process, to perform essential job functions, and to receive other benefits and privileges of employment.

Disclaimer: Beware of fake job offers!

We’ve been alerted to scammers posing as recruiters, especially for remote roles. Please note:

• Our jobs are listed only on the Careers page and trusted job boards.
• We will never ask for personal information like ID or payment for equipment upfront.
• Official offers are sent through Docusign after a verbal offer, not via text or email.

Stay cautious and protect your personal details.

To all recruitment agencies: The company does not accept agency resumes. Please do not forward resumes to our jobs alias, employees, or any other organization's location. The company is not responsible for any fees related to unsolicited resumes.

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