• USD135000 - USD175000 per year USD
  • San Francisco, CA, USA
  • Permanent, Full time
  • Selby Jennings Technology
  • 2018-08-29

Machine Learning Engineer

  • Location: San Francisco, CA, USA
  • Salary: USD135000 - USD175000 per year
  • Job Type: Full time

Our client is the first of its kind. They are a consumer lending shop that is revolutionizing the industry by leveraging AI/ML to change the lending landscape. Their engineering and data science teams work together to use alternative variables in an underwriting model that is constantly enhancing.

Our client is the first of its kind. They are a consumer lending shop that is revolutionizing the industry by leveraging AI/ML to change the lending landscape. Their engineering and data science teams work together to use alternative variables in an underwriting model that is constantly enhancing.

The team has had tremendous success over the last few years and is looking to build out their data science team, specifically a Machine Learning Engineer. You will be a challenge seeking problem solver that enjoys working in a fast paced environment.

Qualifications:

  • Candidates must have extensive experience not only training machine learning models but also putting them into production and deploying them , productionalizing the machine learning models with a key component of your role
  • Python and scikit-learn are highly preferred
  • My client is looking for experts in the ML and Statistics space - knowledge in these fields from both education and experience will be a huge plus
  • Minimum of 2 years of work experience
  • Ph.D. and/or Master's in a relevant field (STEM) from a top ranked program
San Francisco, CA, USA San Francisco CA US