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Oura

Senior ML & Biosignal Scientist

Oura is hiring a Senior ML & Biosignal Scientist in Helsinki and Oulu, Finland. Level rates it ; you can apply on Oura.

Level's read on this job

  • On Level's scale, this role is Builds AI ●●●●: the job is building AI systems.
  • The posting mentions PyTorch and scikit-learn among its tools and skills.
  • Level classes it as a senior role.
  • Oura has 95 other open roles on Level.
  • Posted in the last few days.

AI in this role

pytorchscikit-learn

Our mission at ŌURA 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 millions of 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 are seeking a Senior ML & Biosignal Scientist to join our Future Physiology team in Finland. This is a high-impact role for a deeply technical, hands-on expert who excels at bridging human physiology, machine learning, and real-world biosignal R&D. Working directly alongside our world-class hardware, firmware, software and science teams, you will play a pivotal role in shaping Oura’s next-generation features. You will turn noisy, multimodal sensor data (including PPG, motion, and temperature) into robust, scalable, and actionable health insights delivered to millions of members worldwide.

What You Will Do:

  • Take full technical ownership of the algorithm lifecycle, from physiological background and signal processing to model architecture design, evaluation, and scaling for production.
  • Develop and deploy state-of-the-art ML algorithms leveraging deep learning (e.g., Transformers, RNNs, probabilistic models) to extract meaningful physiological metrics across diverse user populations, effectively solving real-world challenges such as motion artifacts and environmental noise.
  • Leverage Oura’s large-scale cloud datasets and work hands-on with prototypes, hardware evaluation kits, and benchtop testing setups.
  • Translate complex algorithmic results and physiological insights into clear technical strategies and strategic narratives for senior leadership to help guide Oura’s future product roadmap.

This is a hybrid role out of our Oulu or Helsinki office.

What you'll bring

  • 5–7+ years of hands-on experience in machine learning, biosignal processing, sensor fusion, and analyzing real-world, multimodal time-series data.
  • Expertise with modern ML frameworks (PyTorch) alongside the scientific computing stack (NumPy, SciPy, pandas, scikit-learn).
  • Strong domain knowledge of human physiological systems underlying wearable biosignals, paired with the engineering intuition needed to extract clean signals from noisy data.
  • Familiarity with modern data infrastructure, scalable cloud systems, and a proven track record of moving ML models from experimental research into production software.
  • Master’s or PhD in Computer Science, Machine Learning, Biomedical Engineering, Signal Processing, Applied Mathematics, Physics, or a closely related field (or equivalent practical track record).
  • Comfortable working in an agile environment with high autonomy, taking complete ownership of algorithm development from early-stage concept testing to deployment.

Nice to have:

  • Direct experience in consumer health tech, wearable hardware or digital health applications.
  • Prior experience working within cross-disciplinary teams spanning software engineering, hardware development, and clinical research.

Benefits

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

What we offer:

  • Competitive salary
  • Lunch benefit
  • Wellness benefit
  • Flexible working hours
  • Collaborative, smart teammates
  • An Ōura ring of your own
  • Wellness Time Off

ŌURA 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 at ŌURA 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 ŌURA recruiters, especially for remote roles. Please note:

  • Our jobs are listed only on the ŌURA 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: ŌURA does not accept agency resumes. Please do not forward resumes to our jobs alias, ŌURA employees, or any other organization's location. ŌURA is not responsible for any fees related to unsolicited resumes.

How we rate this

Senior ML & Biosignal Scientist at Oura rates 90 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

PyTorchscikit-learn

Questions you could be asked

  1. What's a project where you used PyTorch hands-on?
  2. Walk me through how you've used scikit-learn in your day-to-day work.
  3. How would you decide a model or AI system is ready to ship?
  4. Tell me about a time a model underperformed in production. How did you find out, and what did you change?

Adapt your resume

  • List these exact terms on your resume: PyTorch and scikit-learn. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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