Machine Learning Engineer, Marketplace Optimization

DoorDash

San Francisco, CA, US
On-site
Machine learning systems
Ml models and pipelines
Python, java, or c++
The mission of the Marketplace Optimization team is to ensure we maintain a healthy Ads Marketplace across all our verticals for both search (query context) and discovery experiences while fulfilling the requirements of all players in this marketplace

Job Summary

  • The mission of the Marketplace Optimization team is to ensure we maintain a healthy Ads Marketplace across all our verticals for both search (query context) and discovery experiences while fulfilling the requirements of all players in this marketplace.
  • We’re looking for a Machine Learning Engineer to help design, build, optimize and scale large-scale ML systems within the Ads Delivery funnel.
  • This is a high-impact role for someone who enjoys combining economic intuition, large-scale ML modeling, and applied engineering to solve complex real-world optimization problems.

Matching Summary

The mission of the Marketplace Optimization team is to ensure we maintain a healthy Ads Marketplace across all our verticals for both search (query context) and discovery experiences while fulfilling the requirements of all players in this marketplace.

Skills & Requirements

Must-have

  • Machine Learning Systems
  • ML models and pipelines
  • Python, Java, or C++
  • TensorFlow, PyTorch, or XGBoost
  • Cross-functional collaboration

Nice-to-have

  • Economic intuition
  • Growth mindset
  • Curiosity
  • Experimentation science
  • Marketplace incrementality

Key Requirements

  • B.S., M.S. or Ph.D. in Computer Science, Machine Learning, Statistics, or related field
  • Industry experience building or maintaining ML systems
  • Solid understanding of ML fundamentals, statistics, and data modeling
  • Experience with ML frameworks
  • Comfortable working with cross-functional partners

Work Rights

Not specified

Tailored Resume

Cover Letter