Machine Learning Intern (PhD) - Summer 2027

About the role

As a Machine Learning Engineer intern at Doordash, you’ll work on tackling new challenges in machine learning and artificial intelligence. You’ll conduct research that can be applied across Doordash engineering teams and engage in external collaborations and mentoring, while also performing research in any of the following areas: Auction, Game theory, Recommender systems, Ranking, AdTech, Computer Vision, Causal Inference, and Big data analytics. We offer a 12-week summer internship program in our San Francisco, Sunnyvale, New York, or Seattle offices.

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,