Operations Research Intern (PhD), Summer 2027
Core
Design and implement improvements to real-time on-demand dispatching algorithms and analyze delivery data to solve complex optimization problems for DoorDash's logistics engine.
Role type
PhD Operations Research Intern (Logistics Optimization)
Builds
Real-time dispatching algorithms and data analysis pipelines for a three-sided marketplace
Domain
Logistics, Operations Research, Real-time Systems
Deliverable
production ML models
Required skills
Mathematical programming, Metaheuristics, Algorithms, JVM-based languages (Java/Kotlin/Scala), SQL, Statistical analysis, Machine learning algorithms, VRP (Vehicle Routing Problem) experience, Optimization software (Cplex/Gurobi/Coin-OR/Xpress), Software development lifecycle
Preferred skills
Experience with modern web applications at scale, Experience with visualization tools (Tableau/Chartio/Mode)
Technologies
Cplex, Gurobi, Coin-OR, Xpress, Java, Kotlin, Scala, SQL, Tableau, Chartio, Mode
Responsibilities
Design and implement improvements to real-time on-demand dispatching algorithm, Analyze data to understand each delivery at the lowest level of detail, Collaborate with engineers, data scientists, and product managers to develop scalable solutions
Seniority
Intern, Summer 2027
