Machine Learning Intern (Masters) - Summer 2027
DoorDash USA · San Francisco, CA; Sunnyvale, CA ; New York City, NY; Seattle, WA
About this role
**About the Team** 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 develop a 24x7 global infrastructure system that powers DoorDash’s three-sided marketplace of consumers, merchants, and dashers. **About the Role** As a Machine Learning Engineer intern, you’ll tackle new challenges in machine learning and artificial intelligence. You’ll conduct research that can be applied across DoorDash engineering teams, engage in external collaborations and mentoring, and work in areas such as: - Auction - Game theory - Recommender systems - Ranking - AdTech - Computer Vision - Causal Inference - Big data analytics This is a **12-week summer internship** in **San Francisco, Sunnyvale, New York, or Seattle**. **You’ll be excited because you will…** - Use cutting-edge ML/AI research (including NLP, RecSys, Ranking, Computer Vision, Causal Inference, AdTech, and graph analysis) to solve real-world problems across discovery, ads, forecasting, fulfillment, and search. - Contribute and execute on research ideas that improve the product experience. - Collect, analyze, and synthesize findings from data to build relevant ML models. - Write clean, efficient, and sustainable code. **We’re excited about you because you…** - Are working toward a **Master’s degree** in Computer Science, ML, NLP, Statistics, Information Sciences, or a related field, graduating **between Fall 2027 and Summer 2028**. - Have mastery of at least one systems language (**Java, C++, Python, Kotlin, GoLang**) or one ML framework (**Tensorflow, Pytorch, MLFlow**). - Have experience in research and 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. **Compensation (summary)** - Starting pay falls within the market-dependent range for the role (base salary localized by work location) and may include equity grants. **Locations** - San Francisco, Sunnyvale, New York, or Seattle **Application** Applications are accepted on an ongoing basis.
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