2 months ago
Base Salary
$137k - $202k/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 to logistics decision-making, assignment strategies, and marketplace efficiency.
- Build AI-native experiences with LLMs and VLMs that transform images, receipts, and verification flows into structured delivery-quality signals.
- Own machine learning systems from feature engineering and model development through experimentation, deployment, monitoring, and iteration.
- Design and run online experiments and production monitoring to improve model performance and reliability.
- Partner with software engineers, product managers, data scientists, and platform teams to productionize 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.
- 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 software engineering skills in Python 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 a strong plus.
- Logistics, marketplace, or delivery-platform experience is helpful but not required.
- Proficiency using AI-assisted development tools such as Claude Code, Codex, or Cursor.
- Must be located in or planning to relocate to San Francisco, Sunnyvale, or Seattle.
Benefits
- 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 mental health program
- Flexible paid time off for salaried roles, plus 80 hours of paid sick time per year
- Role is based in or requires relocation to San Francisco, Sunnyvale, or Seattle
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.