ML Engineer Intern: Research, Recs & AI Impact

DoorDash, Inc.; Sunnyvale (CA); On-site; USD 131,000 - 285,000; Full time

Benefits offered by this job

Premium healthcare

Wellness expense reimbursement

Paid parental leave

Job summary

DoorDash is seeking Machine Learning Engineer interns to join the engineering team and help build a 24x7 logistics engine for a three-sided marketplace. The 12-week summer program is based in San Francisco, Sunnyvale, New York, or Seattle offices, offering exposure to ML/AI research with external collaborations and mentoring.

You will tackle challenges in auction, game theory, recommender systems, ranking, AdTech, computer vision, causal inference, and big data analytics while contributing to

Qualifications

• Pursuing a PhD in CS/ML/Statistics with expected graduation Fall 2027–Summer 2028.
• Demonstrated research experience in ML or related fields.
• Strong communication and collaboration skills.

Responsibilities

• Apply cutting-edge ML/AI research (NLP, RecSys, CV, ranking) to real-world DoorDash problems.
• Contribute and execute on research ideas to improve product experience.
• Collect, analyze, and synthesize data to build relevant ML models.
• Write clean, efficient, and scalable code.

Skills

Java

C++

Python

Kotlin

GoLang

TensorFlow

PyTorch

MLFlow

Education

PhD in CS/ML/Statistics

Job description

DoorDash is seeking Machine Learning Engineer interns to join the engineering team and help build a 24x7 logistics engine for a three-sided marketplace. The 12-week summer program is based in San Francisco, Sunnyvale, New York, or Seattle offices, offering exposure to ML/AI research with external collaborations and mentoring.

You will tackle challenges in auction, game theory, recommender systems, ranking, AdTech, computer vision, causal inference, and big data analytics while contributing to