Machine Learning Intern, PhD, - Summer 2027 (San Francisco)

DoorDash connects customers with local businesses for delivery, from restaurants to grocery, retail and its own DashMart stores. 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.

Key responsibilities

• Use cutting-edge research in ML/AI, NLP, RecSys, Ranking, Computer Vision, Causal Inference, Ad Tech
• 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

Requirements

• Are working towards a PhD degree in Computer Science, ML, NLP, Statistics, Information Sciences or related field
• 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

Location and schedule

• Onsite in San Francisco, California

Salary and benefits

US base salary $130,600 to $285,000 a year. DoorDash also offers benefits; the full list is on the posting.

How to apply

Apply on the company's own site.