Machine Learning Intern (PhD) - Summer 2027
Core
Research and develop machine learning models and AI solutions for DoorDash's on-demand logistics engine, focusing on discovery, ads, forecasting, fulfillment, and search experiences.
Role type
Research-focused Machine Learning Engineer Intern (PhD)
Builds
Production ML models and research prototypes for a global logistics marketplace
Domain
Food delivery and on-demand logistics
Deliverable
production ML models
Required skills
Systems programming (Java, C++, Python, Kotlin, GoLang), ML frameworks (Tensorflow, Pytorch, MLFlow), research execution, analytical problem solving
Preferred skills
Publications in ML/AI/data science, experience in Auction/Game theory/RecSys/Ranking/AdTech/Computer Vision/Causal Inference/Graph analysis
Technologies
Java, C++, Python, Kotlin, GoLang, Tensorflow, Pytorch, MLFlow
Responsibilities
Conduct applied research in ML/AI domains, execute research ideas to improve product experience, collect and synthesize data insights to build models, write efficient and sustainable code
Seniority
Intern (PhD candidate)
