Machine Learning Engineer, Marketplace Optimization

DoorDash

27 days ago

San Francisco, CA, USA or Sunnyvale, CA, USA

Mid Level / Senior

H1B Sponsor

Base Salary

$137k - $202k/yr

Responsibilities

Design, build, and deploy ML models and pipelines for pacing, bidding, auction, and targeting optimization.
Collaborate with Data Science and Product teams to develop and evaluate new algorithms through rigorous experimentation.
Improve and scale existing ML infrastructure and data pipelines in partnership with Platform and Infra teams.
Write high-quality, maintainable code and participate in system design and peer reviews.
Learn from senior engineers and contribute to technical discussions that shape the team’s roadmap.
Partner with Data Science and Marketing to design and execute lift tests.

B.S., M.S. or Ph.D. in Computer Science, Machine Learning, Statistics, or a related field.
Industry experience building or maintaining machine learning systems in production.
Solid understanding of machine learning fundamentals, statistics, and data modeling.
Strong programming skills in Python, Java, or C++, and experience with ML frameworks such as TensorFlow, PyTorch, or XGBoost.
Excellent communication and collaboration skills, comfortable working with cross-functional partners.
Curiosity and a growth mindset, motivated to learn and take ownership of impactful projects.
Familiarity with auction systems, bidding, forecasting, or budget optimization is a plus.
Familiarity with experimentation science, including experience designing lift tests, is a plus.

Comprehensive benefits package including medical, dental, and vision benefits.
401(k) plan with employer matching.
16 weeks of paid parental leave.
Flexible paid time off/vacation and paid sick leave.
Wellness benefits and commuter benefits match.
Disability and basic life insurance, family-forming assistance, and a mental health program.

C++JavaPythonPyTorchTensorFlowXGBoost