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DoorDash is building the world’s most reliable on-demand logistics engine for delivery and is looking for machine learning engineer interns to help develop a 24x7 global infrastructure system that powers its three-sided marketplace.

Requirements

• 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
• Ideally have worked on publications in machine learning, AI, data science, data analytics, statistics, or related technical fields

Responsibilities

• 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

Other

• 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
• Are a strong communicator and team player.
• Have a passion for applied ML and the Doordash product
• 12-week summer internship program
• San Francisco, Sunnyvale, New York, or Seattle offices