DoorDash→
Machine Learning Intern (PhD) - Summer 2026 at DoorDash · Sunnyvale
InternshipOn-siteSunnyvale, CA$131k–$192k/yr
Skills
machine learningartificial intelligencenatural language processingrecommender systemsrankingcomputer visioncausal inferencebig data analyticsauction theorygame theoryadtechgraph analysispythonjavac++kotlingolangtensorflowpytorchmlflowresearchdata analysisstatistical analysisindependent judgment
Job Description
Summary: DoorDash is building the world’s most reliable on-demand logistics engine for delivery. They are seeking a Machine Learning Engineer intern to tackle challenges in machine learning and artificial intelligence, conducting research and contributing to real-world applications across various engineering teams.
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 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
Required Qualifications:
- Are working towards a PhD degree in Computer Science, ML, NLP, Statistics, Information Sciences or related field and are graduating between Fall 2026 & Summer 2027
- 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
- Must be comfortable regularly exercising discretion and independent judgment in performing job duties, including evaluating options, making informed decisions, and determining appropriate courses of action within the scope of assigned responsibilities
Preferred Qualifications:
- Ideally have worked on publications in machine learning, AI, data science, data analytics, statistics, or related technical fields
Required Skills: Machine Learning, Artificial Intelligence, Natural Language Processing, Recommender Systems, Ranking, Computer Vision, Causal Inference, Big Data Analytics, Auction Theory, Game Theory, AdTech, Graph Analysis, Python, Java, C++, Kotlin, GoLang, TensorFlow, PyTorch, MLFlow, Research, Data Analysis, Statistical Analysis, Independent Judgment
Internship Start Date: Start in 2026 Summer
Benefits: 401(k) plan with employer matching, 16 weeks of paid parental leave, Wellness benefits, Commuter benefits match, Paid time off, Paid sick leave in compliance with applicable laws, Medical, dental, and vision benefits, 11 paid holidays, Disability and basic life insurance, Family-forming assistance, Mental health program
Benefits
401(k) plan with employer matching
16 weeks of paid parental leave
Wellness benefits
Commuter benefits match
Paid time off
Paid sick leave in compliance with applicable laws
Medical, dental, and vision benefits
11 paid holidays
Disability and basic life insurance
Family-forming assistance
Mental health program