DoorDash
Logistics & Supply ChainDirect Greenhouse career site

Machine Learning Intern (PhD) - Summer 2027

Pay
$130,600 – $285,000 per year
Location
San Francisco, CA · On-site
Job type
Internship
Level
Entry level
Education
Doctorate
Listed
30 days ago

Skills & highlights for this role

  • machine learning research
  • Python
  • PyTorch

Also useful

  • recommender systems
  • causal inference
  • TensorFlow

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 any of the following areas: 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.

You're excited about this opportunity because you will

  • Use cutting-edge research in ML/AI, NLP, RecSys, Ranking, Computer Vision, Causal Inference, Ad Tech, Graph analysis to solve real-world problems across discovery, ads,forecasting, fulfillment and search experiences at Doordash.
  • Contribute and execute on research ideas that can be applied and used to improve product experience at Doordash.
  • Collect, analyze, and synthesize findings from data and use these insights to build relevant ML models.
  • Write clean, efficient, and sustainable code

We're excited about you because you

  • Are working towards a PhD degree in Computer Science, ML, NLP, Statistics, Information Sciences or related field and are graduating between Fall 2027 & Summer 2028
  • Have a mastery of at least one systems languages (Java, C++, Python, Kotlin, GoLang) or one ML framework (Tensorflow, Pytorch, MLFlow)
  • Have experience in research and in solving analytical problems
  • Are a strong communicator and team player.
  • Have a passion for applied ML and the Doordash product
  • Ideally have worked on 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

The successful candidate's starting pay will fall within the pay range listed below and is determined based on job-related factors including, but not limited to, 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, the compensation for this role includes opportunities for equity grants. Talk to your recruiter for more information.

DoorDash cares about you and your overall well-being. That's why we offer a comprehensive benefits package to all regular employees, which includes 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 (e.g. Colorado Healthy Families and Workplaces Act). DoorDash also offers medical, dental, and vision benefits, 11 paid holidays, disability and basic life insurance, family-forming assistance, and a mental health program, among others.

To learn more about our benefits, visit our careers page here.

See below for 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 accrued at about 1 hour for every 25.97 hours worked (e.g. about 6.7 hours/month if working 40 hours/week; about 3.4 hours/month if working 20 hours/week), and paid sick time accrued at 1 hour for every 30 hours worked (e.g. about 5.8 hours/month if working 40 hours/week; about 2.9 hours/month if working 20 hours/week).

The national base pay ranges for this position within the United States, including Illinois and Colorado.

  • I4 $130,600—$192,000 USD
  • I5 $159,800—$235,000 USD
  • I6 $193,800—$285,000 USD

Our Commitment to Diversity and Inclusion

We're committed to growing and empowering a more inclusive community within our company, industry, and cities. That's why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.

Above and beyond discrimination and harassment based on "protected categories," we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at DoorDash.

We value a diverse workforce - people 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 are strongly encouraged to apply. Thank you to the Level Playing Field Institute for this statement of non-discrimination.

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 used Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provided Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023. We resumed using Covey Scout for Inbound again on June 29, 2024, and ceased using Covey Scout for Inbound on April 30, 2026.

The Covey tool has been reviewed by an independent auditor.

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 Recruitment Scam Awareness - DoorDash.

About the Team

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 DoorDash

At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display 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 are looking for team members who can help us go from a company that is known as the place you order food to a company that people turn to for any and all goods.

DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees' happiness, healthiness, and overall well-being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave and more.

Read the original posting

From DoorDash's careers page, first listed on Rolev.ai on October 10, 2026. Rolev.ai is not the employer.

How Rolev.ai helps with this application

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Common questions

What is the salary for the Machine Learning Intern (PhD) - Summer 2027 role at DoorDash?

The Machine Learning Intern (PhD) - Summer 2027 posting at DoorDash states compensation of $130,600 – $285,000 per year. It is listed as a internship position. Final pay may depend on location, experience, and interview evaluation on DoorDash's official career site.

Where is the Machine Learning Intern (PhD) - Summer 2027 job at DoorDash located?

This Machine Learning Intern (PhD) - Summer 2027 position at DoorDash is located in San Francisco, CA (On-site). Always check DoorDash's application page for specific state eligibility or relocation policies.

What qualifications are required for Machine Learning Intern (PhD) - Summer 2027 at DoorDash?

For the Machine Learning Intern (PhD) - Summer 2027 role, DoorDash highlights a doctorate; experience with machine learning research, Python, PyTorch. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.

How do I apply for the Machine Learning Intern (PhD) - Summer 2027 position at DoorDash?

This listing links directly to DoorDash's Greenhouse application page. You can apply directly on DoorDash's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Greenhouse application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.