Software Engineer, Machine Learning

Hims & Hers Health, Inc.
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Job Description

How can we use data to build systems that enable easier and more affordable access to health care? In this role as Software Engineer, Machine Learning you will work with product managers, engineers, data analysts and others to conceptualize and implement data-driven products that help advance our mission to eliminate stigmas and break down barriers to access.

You Will:

  • Collaborate with engineers, product managers and designers to build machine-learning based systems
  • Help guide decisions based on your knowledge of the data and statistical applications
  • Bring a broad awareness of the landscape of statistical and ML-based tools for solving common end-user problems (e.g. recommendation systems, prediction models, decision trees)
  • Mentor and be mentored by other engineers
  • Actively participate in retrospectives and help drive continuous improvement in our process and culture

You Have:

  • 2+ years working as a data scientist or machine learning engineer with a proven record of incremental changes that improved product metrics with machine learning technologies
  • Solid background in machine learning fundamentals and statistical modeling techniques
  • Intimate familiarity with modern data science and machine learning tool stack

Our Benefits (there are more but here are some highlights):

  • Medical, Dental, and Vision healthcare plans
  • Unlimited PTO
  • Generous Parental Leave
  • 401k Match
  • Equity
  • Employee Stock Purchase Program

Company Info.

Hims & Hers Health, Inc.

Hims & Hers Health, Inc. is an American telehealth company that sells prescription and over-the-counter drugs online, as well as personal care products. Founded in 2017, it reached a valuation of $1.6 billion after closing a deal with Oaktree Capital Management to go public.

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Hims & Hers Health, Inc. is currently hiring Software Machine Learning Engineer Jobs in San Francisco, CA, USA with average base salary of $120,000 - $190,000 / Year.

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