Senior Algorithm Scientist

Oura Oura · Consumer · San Francisco, CA +1 · Science

This role focuses on researching, developing, and deploying signal processing and machine learning algorithms for health sensing features in Oura products. It involves early-stage exploratory research, developing proof-of-concept features, designing data collection studies for evaluation and benchmarking, and supporting the incorporation of new sensing modalities. The role requires strong programming skills in Python, experience with signal processing and time-series analysis, and a pragmatic, delivery-focused mindset.

What you'd actually do

  1. Contribute to the research, development and deployment of signal processing and machine learning algorithms for Oura features/products based on a range of sensing modalities
  2. Conduct early stage exploratory research to identify and characterize new potential sensing features and functionality. Develop proof-of-concept features and work with a cross-functional team to take these from proof-of-concept to a commercialized product
  3. Design and support internal and external data collection studies to develop, evaluate, benchmark and improve new biomarkers and algorithms and to evaluate the signal quality of hardware and firmware prototypes
  4. Develop and maintain internal signal evaluation tools and libraries to help Oura’s hardware and firmware teams optimize current and next-generation products
  5. Document, summarize, and present data analysis and algorithm performance results with concrete actionable recommendations for a broad audience on a regular basis

Skills

Required

  • PhD degree with three years of work experience OR MSc degree with five years of work experience in biomedical engineering, electrical engineering, neural engineering or a related field
  • 3+ years of solid programming skills in Python
  • Experience with code collaboration tools (git, peer review, etc)
  • Experience with signal processing methods and time-series analysis (FIR/IIR filters, Kalman filtering, adaptive filtering, stochastic processes, etc)

Nice to have

  • Experience with biosignal sensing and wearable hardware (including hardware prototypes)

What the JD emphasized

  • PhD degree with three years of work experience OR MSc degree with five years of work experience
  • 3+ years of solid programming skills in Python
  • Experience with signal processing methods and time-series analysis

Other signals

  • develop and validate the next generation of health sensing algorithms
  • research, development and deployment of signal processing and machine learning algorithms
  • early stage exploratory research to identify and characterize new potential sensing features
  • Develop proof-of-concept features
  • develop, evaluate, benchmark and improve new biomarkers and algorithms