Machine Learning Engineer

Company:
Location: San Diego, CA 92123

*** Mention DataYoshi when applying ***

Machine Learning Engineer
Job Title: Machine Learning Engineer (Remote | $225k + $200k Bonus)
Job Location: Remote
Job Salary: Up to $425k total compensation
Requirements: Python, Time series data, Machine Learning, Biomechanical Data, Biomechanical Sensors, Experimental Design, Time-Series Analysis, Dimensionality Reduction, bayesian network, Gaussian Process Regression, Optimal Experiment Design
Status: Hiring during COVID-19

Top Reasons to Work with Us

Leader in Health-Tech space.
  • Benefits (PTO)
  • Equity Options
  • Remote
  • Competitive Salary
  • Incredible Bonus Structure

What You Will Be Doing

- Time Series Data -> Building Machine Learning Models
  • ML/ Data Analysis Packages
  • Experimental Design and Publications

What You Need for this Position

  • Going from time series data to machine learning model builds
  • Python
  • Data Analysis Packages (Jupyter, Numby Pandas, matplotlib)
  • Open Source ML dev packages (Pytorch, Scikit Learn, tensorflow)
  • Biomechanical/ Physiological Data
  • Biomechanical/ Physiological Sensors
  • Artificial Intelligence Engineering
  • Time-Series Analysis
  • Dimensionality Reduction
  • Bayesian network
  • Gaussian Process Regression
  • Optimal Experiment Design
Health-Tech/ Fitness Domain Experience
So, if you are a Machine Learning Engineer with experience, please apply today!

Applicants must be authorized to work in the U.S.


CyberCoders, Inc is proud to be an Equal Opportunity Employer

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, or any other characteristic protected by law.

Your Right to Work – In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire.

*** Mention DataYoshi when applying ***

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