Machine Learning Intern (Masters) - Summer 2027

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

Work on applied machine learning and AI research that feeds directly into product experiences across discovery, ads, forecasting, fulfillment, and search. You’ll apply cutting-edge methods in NLP, recommender systems, ranking, computer vision, causal inference, graph analysis, and big data analytics—collecting and synthesizing findings from real data to build and refine ML models. You’ll also write clean, efficient code and collaborate with teams through external collaborations and mentoring.

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FursaFursa
DoorDash US
DoorDash US
4 days ago

Machine Learning Intern (Masters) - Summer 2027

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Last checked: 14 hours agoStatus: Live

Job Summary

Work on applied machine learning and AI research that feeds directly into product experiences across discovery, ads, forecasting, fulfillment, and search. You’ll apply cutting-edge methods in NLP, recommender systems, ranking, computer vision, causal inference, graph analysis, and big data analytics—collecting and synthesizing findings from real data to build and refine ML models. You’ll also write clean, efficient code and collaborate with teams through external collaborations and mentoring.
Location: San Francisco, Sunnyvale, New York, Seattle
Workplace: Onsite
Employment Type: Internship
Job Function: Data Science & Machine Learning
Seniority: Intern level

Key Responsibilities

  • •Apply cutting-edge ML/AI research in areas like NLP, recommender systems, ranking, computer vision, causal inference, and Ad Tech to solve real-world problems across discovery, ads, forecasting, fulfillment, and search experiences.
  • •Contribute and execute on research ideas that can be used to improve product experience.
  • •Collect, analyze, and synthesize findings from data to build relevant ML models.
  • •Write clean, efficient, and sustainable code.
  • •Engage in external collaborations and mentoring while conducting research that can be applied across engineering teams.

Pay and Benefits

Salary: USD 130,600 - 192,000 annually
Equity and Bonus:Equity
Perks:401kPaid ParentalWellness StipendCommuter BenefitsPaid LeaveHealth InsuranceDentalVisionPaid HolidaysDisability InsuranceLife Insurance

Key Requirements

  • •Working toward a Master’s degree in Computer Science, ML, NLP, Statistics, Information Sciences, or a related field and 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 conducting research and solving analytical problems.
  • •Strong communication skills and ability to collaborate as a team player.
  • •Ideally experience working on publications in machine learning, AI, data science, data analytics, statistics, or related technical fields.
Experience:ResearchMachine learningAIData science
Education:Master's in Computer Science, ML, NLP, Statistics, Information Sciences
Skills:CommunicationTeamworkResearchAnalytical problem-solving
Tech Stack:JavaC++PythonKotlinGoLangTensorflowPytorchMLFlow

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