Machine Learning

Overview

Door Dash 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 Door Dash’s three‑sided marketplace of consumers, merchants, and dashers.

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

• Are working towards a Masters degree in Computer Science, ML, NLP, Statistics, Information Sciences or related field and are graduating between Fall 2026 & Summer 2027.
• 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 Door Dash product.
• Ideally have worked on publications in machine learning, AI, data science, data analytics, statistics, or related technical fields.

• Comprehensive benefits package including a 401(k) plan with employer matching.
• 16 weeks of paid parental leave.
• Wellness benefits and commuter benefits match.
• Paid time off and paid sick leave.
• Medical, dental, and vision benefits.
• 11 paid holidays and disability insurance.