21 hours ago
Base Salary
$137k - $299k/yr
Responsibilities
- Build machine learning models for delivery ETA, pickup ETA, merchant prep-time estimation, and order release prediction.
- Develop deep learning models using large-scale spatiotemporal, marketplace, and behavioral signals.
- Apply reinforcement learning and optimization techniques to logistics decision-making, assignment strategies, and marketplace efficiency.
- Build AI-native experiences using large language models and vision-language models to generate delivery quality signals from photos, verification flows, receipts, and images.
- Design and run online experiments, production monitoring, and ongoing model iteration.
- Own machine learning systems end-to-end from feature engineering and model development through deployment and maintenance.
- Partner with software engineers, product managers, data scientists, and platform teams to ship ML capabilities at scale.
Requirements
- 5+ years of industry experience building and shipping production machine learning systems with measurable business impact.
- Bachelor's, Master's, or PhD degree.
- Strong experience developing production ML models with PyTorch and distributed data processing technologies such as Spark and Airflow.
- Experience building, deploying, monitoring, and maintaining production ML systems end-to-end.
- Strong Python software engineering skills and experience with modern ML infrastructure and tooling.
- Deep expertise in at least one of deep learning, reinforcement learning, optimization or operations research, or LLMs/VLMs.
- Experience applying machine learning to estimation, ranking, prediction, optimization, or decision-making problems at production scale.
- Hands-on LLM or VLM experience is preferred.
- Logistics, marketplace, or delivery-platform experience is helpful but not required.
- Proficiency using AI-assisted development tools such as Claude Code, Codex, or Cursor throughout the software development lifecycle.
- Ability to work in or relocate to San Francisco, Sunnyvale, or Seattle.
Benefits
- Comprehensive benefits include medical, dental, vision, disability, basic life insurance, mental health programs, wellness benefits, commuter benefits match, and family-forming assistance.
- 401(k) plan with employer matching, 16 weeks of paid parental leave, 11 paid holidays, paid time off, and paid sick leave.
- Salaried employees receive flexible paid time off or vacation plus 80 hours of paid sick time per year.
- The role is associated with San Francisco, Sunnyvale, or Seattle, and candidates must be located there or plan to relocate.
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.