Senior Machine Learning Data Scientist
ŌURA
full-time
Posted on:
Location Type: Remote
Location: Remote • New York • 🇺🇸 United States
Visit company websiteSalary
💰 $162,000 - $203,000 per year
Job Level
Senior
Tech Stack
PythonPyTorch
About the role
- Drive foundation models for wearable biosignals, setting standards for reusable representations, tooling, and evaluation adopted across multiple health features.
- Design, implement, and validate deep learning approaches for large‑scale physiological time‑series (e.g., PPG, motion, temperature), including self‑supervised and multimodal pretraining; deliver adapters/probes for diverse downstream tasks.
- Lead scientific publications from core modeling and validation work that advance understanding of human physiology and support Oura’s mission to improve health.
- Build and operate scalable data generation, training, and inference pipelines to improve efficiency and reproducibility.
- Lead collaborations with scientists, clinicians, engineers, and product teams to translate research advances into production features that bring value to Oura members.
Requirements
- PhD with 3+ years of industry or postdoctoral experience, or MSc with 5+ years of industry experience, in machine learning, computer science, statistics, electrical engineering, or a related field; healthcare or health‑tech experience preferred.
- Demonstrated success developing deep learning models for large‑scale time‑series or sensor data, ideally physiological or wearable signals, including foundation‑model and self‑supervised/multimodal approaches.
- Advanced proficiency in Python and modern ML frameworks (e.g., PyTorch or Jax), with experience building scalable training and evaluation pipelines.
- Strong grounding in probability, statistics, and experimental design; proven ability to design rigorous evaluations and interpret results from large research or clinical datasets.
- Excellent scientific writing with a record of first‑author, peer‑reviewed publications in top machine learning and digital health venues.
- Collaborative, highly autonomous working style; comfortable operating in an interdisciplinary, globally distributed team and communicating effectively with cross-functional partners.
- Flexibility for occasional meetings across European time zones and willingness to travel for onsite meetings a few times per year.
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
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
deep learningmachine learninglarge-scale time-seriesself-supervised learningmultimodal approachesPythonPyTorchJaxprobabilitystatistics
Soft skills
scientific writingcollaborationautonomous workingcommunicationinterdisciplinary teamwork
Certifications
PhDMSc