Ops Research Intern: Real-Time Dispatch & Optimization

DoorDash, Inc.; Sunnyvale (CA); On-site; USD 131,000 - 192,000; Full time

Benefits offered by this job

401(k) with employer matching

Paid parental leave

Medical, dental, and vision benefits

Paid time off

Job summary

DoorDash, Inc. is seeking an Operations Research Intern (PhD) for Summer 2027 in Sunnyvale, CA.

You will work on the Assignment Engine team to design and implement improvements to the real-time dispatching algorithm and analyze delivery data for cutting-edge research. You will collaborate with engineers, data scientists, product managers, and business operators to develop scalable solutions that create value for consumers, dashers, and merchants.

Qualifications

• PhD student in a relevant field graduating between Fall 2027 and Summer 2028.
• Experience solving optimization problems with mathematical programming or metaheuristics.
• Strong programming fundamentals and knowledge of algorithms.

Responsibilities

• Design and improve real-time dispatching algorithm.
• Analyze data to understand each delivery in detail.
• Collaborate with engineers, data scientists and product managers to develop scalable solutions.
• Receive actionable feedback from mentor and team members.
• Engage with colleagues through intern events across the company.

Skills

Programming fundamentals

Algorithms

SQL

Statistics

Machine learning

Education

PhD in Operations Research

Tools

Cplex

Gurobi

Xpress

Coin-OR

Java/Kotlin/Scala

Job description

DoorDash, Inc. is seeking an Operations Research Intern (PhD) for Summer 2027 in Sunnyvale, CA.

You will work on the Assignment Engine team to design and implement improvements to the real-time dispatching algorithm and analyze delivery data for cutting-edge research. You will collaborate with engineers, data scientists, product managers, and business operators to develop scalable solutions that create value for consumers, dashers, and merchants.