Machine Learning Engineer Intern - Remote

Overview

DoorDash is building the world’s most reliable on-demand logistics engine for delivery! We’re looking for machine learning engineer interns 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.

In Short

• Use cutting-edge research in ML/AI, NLP, RecSys, Ranking, Computer Vision, Causal Inference, Ad Tech, Graph analysis to solve real-world problems across discovery, ads, forecasting, fulfillment and search experiences at DoorDash.
• Contribute and execute on research ideas that can be applied and used to improve product experience at DoorDash.
• Collect, analyze, and synthesize findings from data and use these insights to build relevant ML models.
• Write clean, efficient, and sustainable code.

Requirements

• Are 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.
• Have a mastery of at least one systems languages (Java, C++, Python, Kotlin, GoLang) or one ML framework (Tensorflow, Pytorch, MLFlow).
• Have experience in research and in solving analytical problems.
• Are a strong communicator and team player.
• Have a 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

• Interns are eligible for both a housing stipend and relocation stipend.
• Wellness reimbursement benefit.
• Access to an employee assistance program.
• In-office lunch credits.