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Machine Learning Intern (Masters) - Summer 2026

DoorDashSan Francisco, CA; Sunnyvale, CA; Seattle, WA; New York, NY
On-site Internship $130.6K/yr - $192K/yr
Position filled

Experience Level

Entry Level

Qualifications

Candidates should be pursuing a Master’s degree in Computer Science, Machine Learning, Natural Language Processing, Statistics, Information Sciences, or a related field, with expected graduation between Fall 2026 and Summer 2027. Proficiency in programming languages such as Java, C++, Python, Kotlin, or GoLang, as well as familiarity with ML frameworks like TensorFlow or PyTorch, is essential. Ideal candidates will have research experience, strong analytical problem-solving skills, excellent communication abilities, and a genuine passion for applied machine learning and the DoorDash platform. Publications in machine learning or AI are a plus.

About the role

Join DoorDash as a Machine Learning Intern and become part of our dynamic engineering team dedicated to revolutionizing on-demand logistics. As an intern, you will tackle exciting challenges in machine learning and artificial intelligence, conducting impactful research that enhances our services for consumers, merchants, and dashers. You will engage in innovative projects within areas such as Auction Theory, Recommender Systems, Computer Vision, and Big Data Analytics, gaining invaluable hands-on experience during our 12-week summer internship in San Francisco, Sunnyvale, Seattle, or New York.

About DoorDash

At DoorDash, we're on a mission to build the world’s most reliable on-demand logistics engine for delivery. Our innovative engineering team is at the heart of this mission, creating a robust infrastructure that connects consumers, merchants, and dashers seamlessly. Join us to be part of a collaborative and fast-paced environment where your ideas will drive real-world applications in the ever-evolving tech landscape.

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