21 hours ago
Base Salary
$204k - $299k/yr
Responsibilities
- Develop advanced machine learning models to improve advertising efficiency and quality.
- Design and build optimization algorithms for budget pacing and automated bidding.
- Analyze how bid density and market competitiveness affect advertising value and platform revenue.
- Develop embeddings and consumer profiles for audience targeting.
- Own the end-to-end ML lifecycle, including ideation, offline training, online shadowing and deployment, experimentation, and post-launch monitoring.
- Build and extend data and ML infrastructure for data analysis, modeling, and experimentation.
- Scale systems and services supporting business growth.
Requirements
- Master’s or PhD in a technical field such as computer science, mathematics, statistics, or physics, or equivalent.
- 8+ years of industry machine learning experience with strong knowledge of ML algorithms and fundamentals.
- Proficiency with AI coding tools such as Claude Code, Codex, or Cursor throughout the software development lifecycle.
- Experience building large-scale data and feature-engineering pipelines using PySpark and Snowflake SQL.
- Experience building production machine learning systems with frameworks such as PyTorch, Keras, LightGBM, scikit-learn, or Spark ML.
Benefits
- Hybrid work arrangement with some in-office time expected.
- 401(k) plan with employer matching.
- 16 weeks of paid parental leave.
- Medical, dental, and vision benefits.
- Wellness benefits, commuter benefits match, and mental health programs.
- Flexible paid time off and 80 hours of paid sick time annually for salaried roles.
- 11 paid holidays, disability insurance, and basic life insurance.
- Family-forming assistance and other comprehensive employee benefits.
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.