Machine Learning Engineer Intern

Job Description

About the Job

This job description is for a Machine Learning Engineer Intern at DoorDash.

About The Team:
The team is focused on building the world’s most reliable on-demand logistics engine for delivery. They are looking for ML Engineer interns to join a fast-growing engineering team to help develop a 24×7 global infrastructure system that powers DoorDash’s three-sided marketplace of consumers, merchants, and dashers.

About The Role:
As an ML Engineer intern, you will be involved in:
• Tackling new challenges in machine learning and artificial intelligence.
• Conducting research that can be applied across DoorDash engineering teams.
• Engaging in external collaborations and mentoring.
• Performing research in various areas including: Auction, Game theory, Recommender systems, Ranking, AdTech, Computer Vision, Causal Inference, and Big data analytics.
• The internship is a 12-week fall program (September-December) with a potential extension to a spring internship.
• Internships are offered in San Francisco, Sunnyvale, or Seattle offices.

What You Will Do (Responsibilities):
• Use cutting-edge research in ML/AI, NLP, RecSys, Ranking, Computer Vision, Causal Inference, Ad Tech, Graph analysis to solve real-world problems across various DoorDash experiences like discovery, ads, forecasting, fulfillment, and search.
• Contribute and execute on research ideas that can be applied to and improve the product experience at DoorDash.
• Collect, analyze, and synthesize findings from data to build relevant ML models.
• Write clean, efficient, and sustainable code.

What We’re Looking For (Qualifications):
• Currently working towards a Master’s degree in Computer Science, ML, NLP, Statistics, Information Sciences, or a related field.
• Expected graduation between Winter 2026 & Summer 2027.
• Mastery of at least one systems language (Java, C++, Python, Kotlin, GoLang) or one ML framework (Tensorflow, Pytorch, MLFlow).
• Experience in research and in solving analytical problems.
• A strong communicator and team player.
• A passion for applied ML and the DoorDash product.
• Ideally, prior publications in machine learning, AI, data science, data analytics, statistics, or related technical fields.

Compensation & Benefits:
• The internship is 12 weeks long.
• The weekly pay range is $2,200 USD. This pay is determined based on job-related factors, including education, work location, and market conditions.
• In addition to base pay, interns are eligible for both a housing stipend and a relocation stipend.
• DoorDash also offers interns a wellness reimbursement benefit, access to an employee assistance program, in-office lunch credits, and more.

Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only:
DoorDash uses Covey as part of its hiring/promotional process for certain jobs in NYC, which may qualify as an AEDT. Covey is provided with job requirements and candidate applications. Its use for “Covey Scout for Inbound” occurred from August 21, 2023, through December 21, 2023, and resumed on June 29, 2024. The Covey tool has been reviewed by an independent auditor, and audit results are available via a provided link.

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About the Company

DoorDash is a technology and logistics company with the mission to empower local economies.

Company Vision & Growth:
• Starting with door-to-door delivery, DoorDash aims to become a company that people turn to for any and all goods.
• The company is growing rapidly and changing constantly, offering team members the opportunity to share unique perspectives, solve new challenges, and own their careers.

Employee Well-being & Benefits:
• DoorDash is committed to supporting employees’ happiness, healthiness, and overall well-being.
• Comprehensive benefits and perks include premium healthcare, wellness expense reimbursement, paid parental leave, and more.

Commitment to Diversity and Inclusion:
• DoorDash is committed to growing and empowering a more inclusive community within the company, industry, and cities.
• They hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives.
• They believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.
• Statement of Non-Discrimination: 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.
• They actively strive to prevent subtler forms of inappropriate behavior (e.g., stereotyping).
• They value a diverse workforce and 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.
• DoorDash complies with the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and other state/local hiring regulations, considering qualified applicants with arrest and conviction records.
• They offer accommodations for applicants who need them, upon initial connection with a recruiting contact.