21 hours ago
Base Salary
$204k - $299k/yr
Responsibilities
- Develop and ship production machine learning solutions for personalized shopping experiences across grocery, convenience, and retail categories.
- Conceptualize, design, implement, and validate algorithmic improvements for growth, personalization, and consumer search relevance.
- Partner with engineering and product leaders to shape the product roadmap through machine learning.
- Mentor junior team members and lead cross-functional pods.
- Communicate technical details and ML-driven insights to nontechnical stakeholders.
Requirements
- 8+ years of industry experience developing machine learning models with business impact and shipping ML solutions to production.
- Master’s or PhD in statistics, computer science, mathematics, operations research, physics, economics, or another quantitative field.
- Expertise in applied machine learning for causal inference and recommendation systems using classical and deep learning methods.
- Machine learning experience with Python; PyTorch or TensorFlow experience is preferred.
- Proficiency using AI coding tools such as Claude Code, Codex, or Cursor throughout the software development lifecycle.
- Familiarity with explore/exploit algorithms, multi-armed bandit algorithms, and large language models is a plus.
- Ability to communicate technical details to nontechnical stakeholders and work effectively with multidisciplinary teams.
Benefits
- Hybrid work arrangement with time in the office and remotely.
- Comprehensive medical, dental, and vision benefits, disability insurance, and basic life insurance.
- 401(k) plan with employer matching.
- 16 weeks of paid parental leave, family-forming assistance, wellness benefits, mental health support, and commuter benefits matching.
- Flexible paid time off, 80 hours of paid sick time annually for salaried roles, and 11 paid holidays.
- Equity grant opportunities are included in the overall compensation package.
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.