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Machine Learning Engineer, Forecast Platform

DoorDash is seeking a talented Machine Learning Engineer to enhance the operational efficiency of its logistics platform, focusing on building a reliable solution for its marketplace. The role involves developing ML models that impact millions of users across various projects.

Skills

  • Machine learning
  • Statistical modeling
  • Python programming
  • ML libraries familiarity

Responsibilities

  • Build time-dependent statistical and ML models
  • Own the modeling life cycle end-to-end
  • Contribute to the development of an in-house Forecasting Self-Service Platform
  • Research new tools within the Forecasting space

Education

  • M.S. in a relevant field or PhD
  • 3+ years relevant experience or 1+ year with PhD

Benefits

  • 401(k) plan with employer match
  • Paid time off
  • Wellness benefits
  • Medical, dental, and vision benefits
To read the complete job description, please click on the ‘Apply’ button

DoorDash is a technology company that connects customers with their favorite local and national businesses in the United States and Canada. The company is headquartered in San Francisco, California.

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FUNDING
SENIORITY LEVEL REQUIREMENT
TEAM SIZE
SALARY RANGE
$119,100/yr - $252,400/yr
EMPLOYMENT TYPE
Full-time, on-site
DATE POSTED
October 31, 2024

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