Operations Research Intern (PhD), Summer 2027

<div class="content-intro"><p><img style="display: none; max-width: 100%;" src="https://click.appcast.io/greenhouse-te8/a31.png?ent=34&amp;e=22630&amp;t=1701374353806" width="1px"> <img style="display: none; max-width: 100%;" src="https://track.jobadx.com/v1/i.gif?utm_pixel=224e990b-8ff4-4287-8d5d-2ff09647f181&amp;utm_ptz=EST&amp;utm_rqt=track" alt="" width="1"></p></div><h2><strong>About the Team</strong></h2> <p>DoorDash is building the world’s most reliable on-demand logistics engine for delivery! We’re looking for experienced engineers to join our fast-growing engineering team to help us develop a 24x7 global infrastructure system that powers DoorDash’s three-sided marketplace of consumers, merchants, and dashers.</p> <h2><strong>About the Role</strong></h2> <p>This intern will report into a manager on the Assignment Engine team. We believe interns are essential to our mission of attracting and retaining top talent. During the 12 week Operations Research internship, interns will be completely immersed in their teams and will have the opportunity to develop, maintain &amp; ship products. As an intern, you will directly impact our business by collaborating with your team to solve real problems for our customers.</p> <p>Applicants must be authorized to work in the U.S. to be considered for this position. F-1 students are eligible if they are using Curricular Practical Training (CPT). DoorDash does not support students on J-1 visas at this time.</p> <p>This position will be hosted in person at the DoorDash office in Sunnyvale, CA. #LI-Onsite</p> <h2><strong>You're excited about this opportunity because you will…</strong></h2> <ul> <li>Design and implement improvements to our real-time on-demand dispatching algorithm</li> <li>Analyze data to understand each delivery at the lowest level of detail, perform cutting-edge research, and inspire new lines of work</li> <li>Collaborate with engineers, data scientists, product managers, business operators, and more to develop cross-cutting and scalable solutions to guide value for our consumers, dashers, and merchants</li> <li>Receive actionable feedback from your mentor and team members</li> <li>Socialize with and learn from colleagues all across the company, through events including Lunch and Learns with executive members, game nights, movie nights, intern offsites, and more</li> </ul> <h2><strong>We're excited about you because…&nbsp;</strong></h2> <ul> <li>Are a PhD student in operations research, industrial engineering, computer science or a related field graduating between Fall 2027 and Summer 2028</li> <li>Have research or industry experience working on complex optimization problems through mathematical programming or metaheuristics</li> <li>Have strong programming fundamentals, experience in object-oriented and/or functional programming languages, and a solid understanding of algorithms</li> <li>Have an excitement to analyze, iterate, and contribute to our state-of-the-art real-time dispatch system</li> <li>Experience developing algorithms for logistics problems, especially VRP and real-time dispatching problem</li> <li>Experience with mathematical programming software packages like Cplex, Gurobi, Coin-OR, or Xpress</li> <li>Production experience with a JVM-based language (ie Java, Kotlin, Scala)</li> <li>Experience with software development lifecycle (writing clean code, version control, unit testing, etc)</li> <li>Production experience with modern web applications at scale</li> <li>Experience with statistical analysis and machine learning algorithms</li> <li>Proficient in SQL and a visualization tool (ie Tableau, Chartio, Mode)</li> </ul> <p>Applications for this position are accepted on an ongoing basis</p><div class="content-pay-transparency"><div class="pay-input"><div class="description"><p><span style="font-size: 32px;"><strong>Compensation<br></strong></span></p> <p>Actual compensation within the pay range listed below will be decided based on factors including, but not l