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 PhD 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 language (Java, C++, Python, Kotlin, GoLang) or one ML framework (Tensor Flow, 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 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.