Machine Learning Intern (Masters) - Summer 2027
DoorDash·New York·United States·Research / Applied Science
DoorDash is hiring a Machine Learning Intern (Masters) - Summer 2027 in New York. Posted 2026-09-25; applications close 2026-11-24 (in 59 days).
Role details
DoorDash is building the world’s most reliable on-demand logistics engine for delivery! We’re looking for Machine Learning Engineer Interns to join our fast-growing engineering team to help us develop a 24x7 global infrastructure system that powers DoorDash’s three-sided marketplace of consumers, merchants, and dashers.
About the Role
As a Machine Learning Engineer Intern at DoorDash, you’ll work on tackling new challenges in machine learning and artificial intelligence. You’ll conduct research that can be applied across DoorDash engineering teams and engage in external collaborations and mentoring, while also performing research in areas such as Auction, Game theory, Recommender systems, Ranking, AdTech, Computer Vision, Causal Inference, and Big data analytics. We offer a 12-week summer internship program in our San Francisco, Sunnyvale, New York, or Seattle offices.
What You Will Do
- Use cutting-edge research in ML/AI, NLP, RecSys, Ranking, Computer Vision, Causal Inference, Ad Tech, and Graph analysis to solve real-world problems across discovery, ads, forecasting, fulfillment, and search experiences at DoorDash.
- Contribute to and execute research ideas that can improve the product experience at DoorDash.
- Collect, analyze, and synthesize data findings to build relevant ML models.
- Write clean, efficient, and sustainable code.
What We Are Looking For
- Currently pursuing a Master's degree 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 the ability to be a team player.
- A passion for applied ML and the DoorDash product.
- Ideally, prior experience with publications in machine learning, AI, data science, data analytics, statistics, or related technical fields.
Applications for this position are accepted on an ongoing basis.
Compensation and Benefits
The starting pay for the successful candidate will fall within the pay range listed below and is determined based on job-related factors, including skills, experience, qualifications, work location, and market conditions. Base salary is localized according to an employee’s work location. Ranges are market-dependent and may be modified in the future.
In addition to base salary, this role offers opportunities for equity grants. Please speak to your recruiter for more information.
DoorDash offers a comprehensive benefits package to all regular employees, supporting overall well-being. Benefits include a 401(k) plan with employer matching, 16 weeks of paid parental leave, wellness benefits, commuter benefits match, paid time off, and paid sick leave in compliance with applicable laws. We also offer medical, dental, and vision benefits, 11 paid holidays, disability and basic life insurance, family-forming assistance, and a mental health program.
To learn more about our benefits, visit our careers page here.
Paid Time Off Details:
- For salaried roles: Flexible paid time off/vacation, plus 80 hours of paid sick time per year.
- For hourly roles: Vacation accrues at approximately 1 hour for every 25.97 hours worked, and paid sick time accrues at 1 hour for every 30 hours worked.
The national base pay ranges for this position within the United States, including Illinois and Colorado, are:
Level I4: $130,600 – $192,000 USD
Level I5: $159,800 – $235,000 USD
Level I6: $193,800 – $285,000 USD
About DoorDash
At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and iterate to make impactful decisions with empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started by enabling door-to-door delivery, and we look for team members who can help us evolve from a company known for food delivery to one relied upon for any and all goods.
DoorDash is growing rapidly and changing constantly, offering team members the chance to share unique perspectives, solve new challenges, and own their careers. We are committed to supporting employee happiness, health, and overall well-being through comprehensive benefits and perks, including premium healthcare, wellness expense reimbursement, and paid parental leave.
Our Commitment to Diversity and Inclusion
We are dedicated to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams from all backgrounds, experiences, and perspectives. We believe true innovation thrives when everyone has a seat at the table and the tools, resources, and opportunity to excel.
Statement of Non-Discrimination: In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Beyond these protected categories, we actively strive to prevent other subtle forms of inappropriate behavior, such as stereotyping, from taking root. Barriers to success have no place at DoorDash. We strongly encourage applications from individuals who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans.
Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and other applicable regulations, we will consider every qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation.
If you need any accommodations, please inform your recruiting contact upon initial connection.
Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only:
We utilized Covey as part of our hiring and/or promotional process for jobs in NYC, and some features may qualify it as an AEDT in NYC. We provided Covey with job requirements and candidate applications. We first used Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed use on June 29, 2024, ceasing use on April 30, 2026.
The Covey tool has been reviewed by an independent auditor. Audit results can be viewed here: https://getcovey.com/nyc-local-law-144.
Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring. Learn more about our legitimate recruiting process at https://careersatdoordash.com/recruitment-scam-awareness.
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Applying to this role
This Machine Learning Intern (Masters) - Summer 2027 role at DoorDash runs through the firm's own careers portal and expects a CV and cover letter written specifically for the posting, not a portable submission carried across firms. Jorb AI's application agent tailors a CV and cover letter from your background to this posting and tracks the role alongside the rest of your applications.
Jorb AI tracks details for Machine Learning Intern (Masters) - Summer 2027 at DoorDash. Postings refresh hourly from primary careers pages. Job details mirror the firm's posting; the apply link goes directly to the source. Last refreshed 2026-09-26.
