Machine Learning Intern (PhD) - Summer 2027

DoorDash US
San Francisco, Sunnyvale, New York, Seattle
Workplace: OnsiteInternshipUSD 130,600 - 192,000 annuallyFunction: Data Science & Machine LearningEducation: phdSkills: ["Communication","Teamwork","Research","Problem-solving"]

Build and apply cutting-edge ML/AI research to real problems across discovery, ads, forecasting, fulfillment, and search. Conduct research in areas like auction/game theory, recommender systems, ranking, AdTech, computer vision, causal inference, and big data analytics—then translate findings into clean, efficient, sustainable code. Collaborate with DoorDash engineering teams, contribute ideas to improve product experiences, and participate in external collaborations and mentoring during a 12-week summer internship.

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DoorDash US
DoorDash US
2 days ago

Machine Learning Intern (PhD) - Summer 2027

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Last checked: 14 hours agoStatus: Live

Job Summary

Build and apply cutting-edge ML/AI research to real problems across discovery, ads, forecasting, fulfillment, and search. Conduct research in areas like auction/game theory, recommender systems, ranking, AdTech, computer vision, causal inference, and big data analytics—then translate findings into clean, efficient, sustainable code. Collaborate with DoorDash engineering teams, contribute ideas to improve product experiences, and participate in external collaborations and mentoring during a 12-week summer internship.
Location: San Francisco, Sunnyvale, New York, Seattle
Workplace: Onsite
Employment Type: Internship · 12 months
Job Function: Data Science & Machine Learning
Seniority: Intern level

Key Responsibilities

  • •Use cutting-edge ML/AI research (including NLP, Recommender Systems, Ranking, Computer Vision, Causal Inference, Ad Tech, and graph analysis) to solve real-world problems across DoorDash experiences.
  • •Contribute and execute on research ideas that can be applied to improve product experience across DoorDash.
  • •Collect, analyze, and synthesize data findings and use them to build relevant ML models.
  • •Write clean, efficient, and sustainable code to support research outputs.
  • •Collaborate with engineering teams through research activities, external collaborations, and mentoring.

Pay and Benefits

Salary: USD 130,600 - 192,000 annually
Equity and Bonus:Equity
Perks:401kMedical

Key Requirements

  • •Working toward a PhD in Computer Science, ML, NLP, Statistics, Information Sciences, or a related field, graduating between Fall 2027 and Summer 2028.
  • •Mastery of at least one systems language (Java, C++, Python, Kotlin, GoLang) or one ML framework (Tensorflow, Pytorch, MLFlow).
  • •Experience in research and solving analytical problems.
  • •Strong communication skills and ability to work as a team player.
  • •Ideally, experience with publications in machine learning, AI, data science, data analytics, statistics, or related fields.
Experience:Machine learningAIResearchData scienceAdTech
Education:PhD / Doctorate in Computer Science, ML, NLP, Statistics, Information Sciences or related field
Skills:CommunicationTeamworkResearchProblem-solving
Languages:English
Tech Stack:PythonJavaC++KotlinGoLangTensorflowPytorchMLFlowNLPRecSysComputer VisionCausal InferenceGraph analysisBig data analyticsRankingAdTechML/AI

Company Brief

DoorDash US
On-demand logistics platform connecting consumers with local restaurants, grocers, and retailers for food delivery, pickup, and convenience services. Operates a marketplace and last-mile delivery network while offering tools and analytics for merchants and couriers.
Industry: Online Marketplaces
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: San Francisco, United States
Founded: 2013
WebsiteLinkedIn