
About DoorDash USA
Connecting food lovers with local restaurants
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,...
π Benefits
DoorDash offers unlimited paid time off, flexible work-from-home opportunities, comprehensive health insurance, a work-from-home stipend, and company ...
π Culture
DoorDash fosters a competitive culture focused on innovation and transparency, particularly in its fee structures for restaurants. The company emphasi...

Machine Learning Engineer β’ Entry-Level
DoorDash USA β’ San Francisco - On-Site
Skills & Technologies
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 DoorDashβs 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.
Interested in this role?
Apply now or save it for later. Get alerts for similar jobs at DoorDash USA.
Similar Jobs You Might Like
Based on your interests and this role

Machine Learning Engineer
DoorDash is seeking a Machine Learning Intern for Summer 2026 to tackle challenges in machine learning and artificial intelligence. You'll work with technologies like NLP, Recommender Systems, and Computer Vision across various projects. This internship is ideal for candidates pursuing a Master's degree in relevant fields.

Machine Learning Engineer
Pinterest is hiring a PhD Machine Learning Intern for 2026 to contribute to large-scale recommendation systems and personalized experiences. You'll work with technologies like machine learning and artificial intelligence across various domains. This internship is ideal for those pursuing advanced studies in related fields.

Machine Learning Intern
Dropbox is hiring a PhD Machine Learning Intern for Summer 2026 to contribute to innovative AI/ML systems. You'll work on projects involving search and intelligent organization features, utilizing skills in machine learning and data analysis.

Machine Learning Intern
Patreon is hiring a Machine Learning Intern for Summer 2026 to gain hands-on experience in the ML development lifecycle. You'll work closely with experienced engineers and contribute to real-world ML projects. This role requires a background in Python and machine learning concepts.

Machine Learning Engineer
Stripe is hiring a PhD Machine Learning Engineer Intern to contribute to projects enhancing their financial products. You'll work with Python, TensorFlow, and PyTorch to develop and deploy machine learning systems. This internship is ideal for those pursuing a PhD in a related field.