Career Area
DoorDash AI/ML
There’s never been a more exciting time to join our AI/ML team at DoorDash.
DoorDash is reinventing local commerce—connecting people with anything they need, fast and reliably, while empowering local economies. Our platform powers millions of Dashers with flexible earning opportunities, helps hundreds of thousands of merchants grow, and is trusted by tens of millions of customers for billions of yearly deliveries.
AI/ML is at the core of this transformation—optimizing logistics, personalizing experiences, and ensuring trust at scale. As we expand into new categories and push the boundaries of what’s possible, there’s never been a better time to shape the future with us.
AI/ML Overview
At DoorDash, AI and ML are integral to our operations, driving everything from search and recommendations to fulfillment, mapping, fraud detection, logistics, and support. We leverage cutting-edge algorithms, including multimodal GenAI and agentic workflows, DL, RL, causal ML, and large-scale optimization, to optimize our complex three-sided marketplace in real time.
With billions of data points and petabyte-scale ML pipelines at our disposal, we’re developing autonomous, adaptive AI systems that are shaping the future of local commerce. If you’re passionate about tackling impactful, real-world ML challenges, we encourage you to join our team.
Computational Advertising
DoorDash Ads Marketplace connects advertisers, consumers, and DoorDash in a dynamic, incentive-aligned ecosystem that maximizes long-term value. We leverage recommendation systems, query understanding, ranking, LLMs, Generative AI, and advanced optimization techniques to power promotions, budget pacing, auto-bidding, pricing, auctions, forecasting, and experimentation.
Search and Recommendations
Our Search and Recommendations systems are two critical pillars that drive personalized user experiences. Our search engines deliver precise, relevant results using intelligent ranking algorithms that understand user intent and context. Our recommendation models leverage advanced ML, Deep Learning, and Generative AI to predict and suggest products, content, and services, continuously optimizing for engagement, satisfaction, and business impact.
AI Infrastructure
We power AI and ML at DoorDash with robust infrastructure, enabling seamless model development, deployment, and scaling. Our platforms, tools, and frameworks optimize the entire ML lifecycle for reliability, efficiency, and scalability. From distributed training to real-time and batch inference, we empower teams to integrate cutting-edge ML and generative AI, driving innovation and operational excellence at scale.
Inventory Intelligence
Our team is revolutionizing inventory management with machine learning, advanced analytics, and Computer Vision. We build predictive models that forecast demand, optimize stock levels, and minimize waste while enabling real-time inventory tracking and accurate product availability insights. Using Computer Vision, we automate stock discrepancy detection and shelf organization, driving smarter, data-driven decisions across the business.
Dasher and Logistics
We harness cutting-edge technologies—ML, Deep Learning, Computer Vision, Generative AI, Causal Inference, and Optimization—to tackle complex challenges across Dasher and Logistics. Our solutions power order assignment, driver routing, and last-mile logistics while proactively mitigating delivery issues. We also drive supply and demand forecasting, ETA predictions, and travel time estimations, ensuring seamless and efficient operations.
Join Us!
Help tackle some of the most pressing concerns for millions of our partner merchants, consumers, and dashers worldwide.
AI/ML Jobs
Our Engineering Offices
University Careers
If you are a current student, learn more about Engineering opportunities for you.
Virtual Interview Process
Recruiter Phone Screen
In the first step of the process, you will speak with our recruitment team in a 30-minute call about what you’ve worked on, level expectations, and other key factors. During this time, you’ll also learn about DoorDash and our interview process.
Round 1: Coding Technical Phone Screen
For most positions, you will engage in a 60-minute coding session with a DoorDash software engineer to share your thought processes throughout.
Click the links below to learn more about how to prepare for technical phone screen interviews.
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Round 2: Virtual Onsite Interview
Dependent on your level of experience, you will work through coding, systems design, and behavioral questions.
Employee Resource Groups
One of the ways we’re fostering a greater sense of belonging is through our employee resource groups (ERGs). They provide opportunities for us to connect and learn from one another, plus help us transform the way we think.
Click each logo below to learn more about our ERGs.
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