5 hours ago
Base Salary
$137k - $299k/yr
Responsibilities
- Develop machine-learning models to improve advertising efficiency and quality.
- Design optimization algorithms for budget pacing and automated bidding.
- Analyze bid density, market competitiveness, advertising value, and platform revenue.
- Develop embeddings, consumer profiles, and other data solutions for audience targeting.
- Own the ML lifecycle, including ideation, offline training, online shadowing and deployment, experimentation, and post-launch monitoring.
- Build and extend data and ML infrastructure for analysis, modeling, and experimentation.
- Scale systems and services supporting DoorDash’s advertising business.
Requirements
- M.S. or Ph.D. in computer science, mathematics, statistics, physics, or another technical field, or equivalent.
- 3+ years of machine-learning industry experience.
- Strong understanding of machine-learning algorithms and fundamentals.
- Experience building large-scale data and feature-engineering pipelines using PySpark and Snowflake SQL.
- Production machine-learning systems experience with technologies such as PyTorch, Keras, LightGBM, scikit-learn, or Spark ML.
- Experience in online advertising, search relevance and ranking, or recommendation systems is preferred but not required.
Benefits
- Hybrid work arrangement with some in-office time expected.
- 401(k) plan with employer matching.
- 16 weeks of paid parental leave.
- Wellness benefits and commuter benefits match.
- Paid time off and paid sick leave.
- Medical, dental, and vision benefits.
- 11 paid holidays.
- Disability and basic life insurance.
- Family-forming assistance and a mental health program.
- Equity grant opportunities are available in addition to base salary.
Tech Stack
Categories
About DoorDash
DoorDash builds a marketplace and logistics platform that connects consumers with local restaurants and retailers for on-demand delivery and pickup, powered by a network of independent Dashers. It earns through delivery fees, merchant commissions, advertising, DashPass subscriptions, and white-label fulfillment via DoorDash Drive. Founded in 2013 and headquartered in San Francisco, the public company operates across the U.S. and selected international markets, and also researches automation through DoorDash Labs.