21 hours ago
Base Salary
$204k - $299k/yr
Responsibilities
- Own and build foundational machine learning systems for real-time assignment and fulfillment estimation.
- Lead 0-to-1 ML initiatives and define how machine learning and optimization are applied across fulfillment products.
- Design architectures and establish standards for model development, deployment, monitoring, retraining, reliability, and governance.
- Influence technical strategy and execution for Tier-0 logistics services requiring high reliability and low latency.
- Collaborate with Product, Data Science, Engineering, and Platform teams across multiple organizations.
- Define DoorDash’s AI vision for an LLM-inspired foundation model for logistics intelligence.
- Mentor engineers and raise the technical bar for logistics ML across the organization.
Requirements
- 8+ years of industry experience building and deploying production-scale machine learning systems.
- Strong machine learning fundamentals and experience applying them to large-scale production systems.
- Fluency in Python and hands-on experience with modern ML frameworks, especially deep learning frameworks.
- Experience designing, launching, and operating mission-critical ML models or systems in production, including monitoring, retraining, reliability, and governance.
- Ability to lead complex technical projects end to end and influence stakeholders across teams or organizations.
- Clear communication with technical and non-technical audiences and comfort working in ambiguous problem spaces.
- Experience building or shipping large-scale ML models for recommendation, advertising, marketplaces, logistics, or related domains.
- Experience with knowledge distillation from large teacher models into efficient production models.
Benefits
- Comprehensive benefits package including medical, dental, vision, disability, and basic life insurance.
- 401(k) plan with employer matching, paid parental leave, paid time off, paid sick leave, and 11 paid holidays.
- Wellness benefits, commuter benefits match, family-forming assistance, and a mental health program.
- Equity grant opportunities are included in the compensation package.
- Salaried roles receive flexible paid time off and 80 hours of paid sick time per year.
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.