Senior Algorithm Engineer at Element Science
San Francisco, CA, US

We are seeking an algorithm engineer and research scientist to join our Research and Development group. This individual will be responsible for developing and testing machine learning and signal processing algorithms for biological signal classification.  This work will involve using and inventing time-series signal processing and machine learning techniques to outperform state-of-the-art algorithms and trained experts. The challenge involves maintaining algorithm performance in home-use conditions, with a battery operated device.


  • Mine biological data obtained using different sensors for physiologically relevant markers
  • Develop algorithm approaches using DSP and machine learning principles to classify and predict cardiac states
  • Learn physiology of heart states to inform feature generation
  • Reporting classification results using appropriate statistical metrics
  • Collaborate closely with materials, hardware, and design teams to evaluate key functional areas of device
  • Test protocol and report generation which clearly capture results of development


  • EE or CS background required (M.S. or B.S with 4+ years of experience)
  • Expert proficiency in signal processing analysis software (e.g., Matlab, Python)
  • Signal processing fundamentals with particular focus on time-frequency techniques (e.g, Fourier and wavelet filtering) and descriptive statistics
  • Machine learning fundamental algorithms including linear and logistic regression, Bayesian networks, and decision trees
  • Appreciation for quality system, risk management, and medical product development processes
  • Outstanding written and verbal communication
  • Bonus: knowledge of on-chip signal processing