About the role#
As a Machine Learning Intern, you will join our engineering team to help develop the infrastructure that powers our marketplace. You will work on research and development tasks that directly impact our discovery, ads, forecasting, fulfillment, and search experiences. This is a 12-week summer internship program.
What you'll do#
- Tackle new challenges in machine learning and artificial intelligence.
- Conduct research applicable across our engineering teams.
- Perform research in areas such as Auction, Game theory, Recommender systems, Ranking, AdTech, Computer Vision, Causal Inference, and Big data analytics.
- Contribute to and execute on research ideas to improve our product experience.
- Collect, analyze, and synthesize findings from data to build relevant machine learning models.
- Write clean, efficient, and sustainable code.
- Engage in external collaborations and mentoring.
What you'll need#
- Currently pursuing a Masters degree in Computer Science, ML, NLP, Statistics, Information Sciences, or a related field.
- Graduation date between Fall 2027 and Summer 2028.
- Mastery of at least one systems language, such as Java, C++, Python, Kotlin, or GoLang.
- Mastery of at least one machine learning framework, such as Tensorflow, Pytorch, or MLFlow.
- Experience in research and solving analytical problems.
- Strong communication skills and the ability to work well in a team.
- A passion for applied machine learning and the DoorDash product.
- Ideally, experience with publications in machine learning, AI, data science, or related technical fields.
Location & details#
- Term: Summer 2027
- Modality: On-site
- Locations: San Francisco, CA; Sunnyvale, CA; New York City, NY; Seattle, WA
About DoorDash
DoorDash is a technology and logistics company based in San Francisco. It operates in the local logistics, restaurant delivery, and ecommerce sectors. The company employs over 80,000 people and maintains offices across the United States, Canada, and Australia. It focuses on connecting merchants, delivery drivers, and customers through its platform.
How to get in at DoorDash
Securing an internship at DoorDash requires speed because the volume of applicants is high. Intern Insider sends an instant alert the moment a role matching your target is published anywhere, so you apply among the first. Early applicants often get seen before the pile grows, which gives you a distinct advantage over those who wait. You can also improve your chances by reaching out to the right people. Intern Insider surfaces the recruiters behind the company roles so you can reach out directly to ask about the position or a referral. This direct approach materially improves response rates compared to submitting an application into a general queue.
