DoorDash USA

About DoorDash USA

Connecting food lovers with local restaurants

🏒 TechπŸ‘₯ 1001+ employeesπŸ“… Founded 2013πŸ“ Mid-Market, San Francisco, CAπŸ’° $2.5b⭐ 3.7
B2CB2BMarketplaceFoodConsumer GoodsDeliveryeCommerce

Key Highlights

  • Public company (NYSE: DASH) with a major IPO in 2020
  • Over 450,000 restaurant partners across the U.S. and Canada
  • $2.5 billion raised in funding from top investors
  • Headquartered in San Francisco, CA with 1001+ employees

DoorDash is a leading local food delivery platform headquartered in San Francisco, CA, connecting food lovers with over 450,000 restaurants across the U.S. and Canada. Since its IPO in 2020, which was one of the largest of the year, DoorDash has raised $2.5 billion in funding and now employs over 1,...

🎁 Benefits

DoorDash offers unlimited paid time off, flexible work-from-home opportunities, comprehensive health insurance, a work-from-home stipend, and company ...

🌟 Culture

DoorDash fosters a competitive culture focused on innovation and transparency, particularly in its fee structures for restaurants. The company emphasi...

Overview

DoorDash is seeking a Machine Learning Intern (PhD) for Summer 2026 to tackle challenges in machine learning and artificial intelligence. You'll work on cutting-edge research and contribute to improving product experiences using technologies like NLP and Computer Vision. This internship is ideal for PhD candidates in relevant fields.

Job Description

Who you are

You are currently pursuing a PhD in Computer Science, Machine Learning, Natural Language Processing, Statistics, or Information Sciences. You have a strong foundation in machine learning concepts and are eager to apply your knowledge to real-world problems. Your research interests align with areas such as auction theory, recommender systems, and computer vision, and you are excited about the opportunity to engage in external collaborations and mentoring.

You possess excellent analytical skills and can collect, analyze, and synthesize findings from data to build relevant machine learning models. You are comfortable writing clean, efficient, and sustainable code, and you are motivated to contribute to a team that is focused on developing innovative solutions in the logistics space.

Desirable

Experience with big data analytics and familiarity with ad tech or ranking systems would be a plus. You are a collaborative team player who enjoys working in a fast-paced environment and is eager to learn from experienced professionals in the field.

What you'll do

As a Machine Learning Engineer intern at DoorDash, you will tackle new challenges in machine learning and artificial intelligence. You will conduct research that can be applied across various engineering teams and contribute to the development of a 24x7 global infrastructure system that powers DoorDash’s marketplace. Your work will involve using cutting-edge research in machine learning, natural language processing, recommender systems, and computer vision to solve real-world problems across discovery, ads, forecasting, fulfillment, and search experiences.

You will have the opportunity to contribute and execute on research ideas that can be applied to improve product experiences at DoorDash. This includes collecting and analyzing data, synthesizing findings, and using insights to build relevant machine learning models. You will collaborate with other engineers and researchers, sharing your findings and learning from their expertise.

What we offer

DoorDash offers a 12-week summer internship program in our San Francisco, Sunnyvale, New York, or Seattle offices. You will gain hands-on experience in a dynamic environment, working alongside talented professionals who are passionate about leveraging technology to enhance logistics and delivery services. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds in our team.

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