Machine Learning Intern (PhD) - Summer 2027

The role

You will conduct research in areas such as Auction, Game theory, Recommender systems, and Computer Vision to solve real-world problems. You will collect and analyze data to build ML models and write clean code.

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.
• Contribute and execute on research ideas to improve product experience.
• Collect, analyze, and synthesize findings from data.
• Build relevant ML models.
• Write clean, efficient, and sustainable code.

Required qualifications

• Working towards a PhD degree in Computer Science, ML, NLP, Statistics, Information Sciences or related field.
• Graduating between Fall 2027 & Summer 2028.
• Mastery of at least one systems languages (Java, C++, Python, Kotlin, GoLang) or one ML framework (Tensorflow, Pytorch, MLFlow).
• Experience in research and in solving analytical problems.
• Strong communicator and team player.
• Passion for applied ML and the Doordash product.

Nice to have

• Worked 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
• Wellness benefits
• Commuter benefits match
• Paid time off
• Paid sick leave
• Medical, dental, and vision benefits
• 11 paid holidays
• Disability and basic life insurance
• Family-forming assistance
• Mental health program

About the company

DoorDash is a technology and logistics company that builds an on-demand logistics engine for delivery. Their mission is to empower local economies.