Machine Learning Engineer, Marketplace Optimization

Doordashusa

San Francisco, CA, USA
On-site
Design, build, and deploy ml models
Optimize and scale large-scale ml systems
Collaborate with data science and product teams
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 leverage artificial intelligence and advanced ML, deep learning techniques to power decision-making in real time — from optimizing ad auctions to generating the most efficient bids and pacing budgets dynamically.
  • 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

  • Design, build, and deploy ML models
  • Optimize and scale large-scale ML systems
  • Collaborate with Data Science and Product teams
  • Write high-quality, maintainable code
  • Strong programming skills in Python, Java, or C++
  • Experience with ML frameworks (TensorFlow, PyTorch, XGBoost)

Nice-to-have

  • Economic intuition
  • Curiosity and growth mindset
  • Experience in ads or marketplaces
  • Familiarity with experimentation science

Key Requirements

  • B.S., M.S. or Ph.D. in Computer Science, Machine Learning, Statistics, or a related field
  • Industry experience building or maintaining ML systems in production
  • Solid understanding of ML fundamentals, statistics, and data modeling
  • Excellent communication and collaboration skills

Work Rights

Not specified

Tailored Resume

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