Job Description

DoorDash is seeking Machine Learning Engineer interns to join their engineering team to develop a global infrastructure system. Interns will work on machine learning and artificial intelligence challenges, conduct research, and engage in external collaborations. The internship is a 12-week summer program.

Responsibilities

• Use ML/AI, NLP, RecSys, Ranking, Computer Vision, Causal Inference, Ad Tech, Graph analysis to solve real-world problems
• Contribute and execute on research ideas to improve product experience
• Collect, analyze, and synthesize findings from data to build ML models
• Write clean, efficient, and sustainable code

Requirements

• Working towards a MS/PhD degree in Computer Science, ML, NLP, Statistics, Information Sciences or related field and are graduating between Fall 2025 & Summer 2026
• Mastery of at least one systems languages (Java, C++, Python, Kotlin, GoLang) or one ML framework (Tensorflow, Pytorch, MLFlow)
• Experience in research and in solving analytical problems
• Strong communicator and team player
• Passion for applied ML and the Doordash product
• Ideally have worked on publications in machine learning, AI, data science, data analytics, statistics, or related technical fields

Benefits

• No benefits