Machine Learning Intern (Masters) - Summer 2027
About this role
Scaling a three-sided marketplace of consumers, merchants, and dashers requires continuous development of a 24x7 global infrastructure system. DoorDash needs incoming technical talent to tackle fresh obstacles in artificial intelligence and machine learning while driving product improvements across discovery, ads, forecasting, fulfillment, and search.
During the 12-week summer program in San Francisco, Sunnyvale, New York City, or Seattle, engineers conduct research applicable across internal teams, engage in external collaborations, and participate in mentoring. Contributors collect, analyze, and synthesize findings from data to build relevant models while writing clean, efficient, and sustainable code.
Candidates who succeed here possess a background in analytical problem-solving and research combined with strong communication skills. Graduate students working toward a relevant master's degree who want to apply statistical methods and technical frameworks to real-world logistics challenges find a strong fit.
What you will do
- Conduct research in areas such as auction theory, recommender systems, ranking, ad tech, computer vision, and big data analytics.
- Contribute and execute research ideas to improve product experiences across discovery, ads, forecasting, and fulfillment.
- Collect, analyze, and synthesize data findings to build relevant machine learning models.
- Write clean, efficient, and sustainable code.
- Engage in external collaborations and mentoring during the 12-week program.
What you need
- Working towards a Master's degree in Computer Science, Machine Learning, Natural Language Processing, Statistics, Information Sciences, or a related field with graduation between Fall 2027 and Summer 2028.
- Mastery of at least one systems language such as Java, C++, Python, Kotlin, or GoLang, or one machine learning framework like Tensorflow, Pytorch, or MLFlow.
- Demonstrated experience in research and in solving analytical problems.
- Strong communication skills and ability to function as a team player.
- Passion for applied machine learning and the DoorDash product.
Nice to have
- Prior work on publications in machine learning, AI, data science, data analytics, statistics, or related technical fields.
Benefits
- 401(k) plan with employer matching
- 16 weeks of paid parental leave
- Medical, dental, and vision benefits
- Flexible paid time off/vacation plus paid sick time
- Opportunities for equity grants
Skills and tech stack
Questions candidates ask
Where is this internship located?
The 12-week summer internship program takes place in the San Francisco, Sunnyvale, New York, or Seattle offices.
What is the pay range for this position?
The starting pay falls within the national base pay ranges from $130,600 to $192,000 USD, $159,800 to $235,000 USD, or $193,800 to $285,000 USD depending on the tier and location.
What are the educational requirements for applicants?
Candidates must be working towards a Masters degree in Computer Science, ML, NLP, Statistics, Information Sciences or a related field with graduation between Fall 2027 and Summer 2028.