Applied Machine Learning Engineer - Causal Inference Recommendation

DoorDash
Full-time
Sunnyvale, CA; San Francisco, CA; Seattle, WA; New York, NY
$137,100 - $299,300
Posted on 5 months ago

Job Description

DoorDash seeks an experienced machine learning engineer to develop AI/ML for expanding merchant selection and growth, focusing on recommendation systems and AI solutions. The role involves building production machine learning solutions, collaborating with teams, and managing the modeling lifecycle.

Responsibilities

  • Develop production machine learning solutions
  • Partner with engineering and product leaders
  • Own the modeling life cycle end-to-end
  • Find new ways to use diverse data sources

Requirements

  • 1+ years of industry experience post PhD or 3+ years of industry experience post graduate degree of developing machine learning models
  • Expertise in applied ML for Causal Inference and Recommendation Systems
  • M.S., or PhD. in Statistics, Computer Science, Economics, Math, Operations Research, Physics, or other quantitative fields
  • Ability to communicate technical details to nontechnical stakeholders
  • Strong machine learning background in Python

Benefits

  • No benefits