Machine Learning Intern – Fall 2025

Verified Job On Employer Career Site

Job Summary:

DoorDash is a technology and logistics company focused on empowering local economies. They are seeking a Machine Learning Intern to tackle challenges in machine learning and artificial intelligence, conducting research and applying insights to improve product experiences.

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.

Qualifications:

Required:

• Are working towards a Master’s degree in Computer Science, ML, NLP, Statistics, Information Sciences or related field and are graduating between Winter 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

Preferred:

• Ideally have worked on publications in machine learning, AI, data science, data analytics, statistics, or related technical fields

Company:

DoorDash is a food delivery platform that connects customers with local and national businesses. It is a sub-organization of DoorDash. Founded in 2013, the company is headquartered in San Francisco, California, USA, with a team of 10001+ employees. The company is currently Public Company. DoorDash has a track record of offering H1B sponsorships.