Job details

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

By DoorDash USA

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.

231 jobs

MATCH

Calculating your matching score...

FUNDING

Growth

DEPARTMENTS

Software Engineering

SENIORITY LEVEL REQUIREMENT

Mid-Level

INDUSTRY

Industrials

TEAM SIZE