Machine Learning Engineer Intern

DoorDash, the leading on-demand logistics platform, is seeking Machine Learning Engineer interns to join their innovative engineering team. This exciting opportunity is perfect for graduate students passionate about applying cutting-edge ML/AI research to real-world problems.

As an intern, you'll be immersed in DoorDash's mission to empower local economies through their three-sided marketplace connecting consumers, merchants, and dashers. The role offers hands-on experience in various ML domains including RecSys, Computer Vision, Causal Inference, and AdTech, with direct impact on product experiences.

The position is ideal for MS/PhD candidates in Computer Science or related fields graduating between Fall 2025 and Summer 2026. You'll need strong programming skills in languages like Python, Java, or Kotlin, and experience with ML frameworks. The role combines theoretical research with practical implementation, offering a perfect balance for aspiring ML engineers.

DoorDash provides comprehensive benefits including housing and relocation stipends, wellness benefits, and in-office perks. The 12-week summer internship program, available in major tech hubs like San Francisco and New York, offers competitive weekly compensation ranging from $2,200 to $2,600.

The company's commitment to diversity and inclusion creates an environment where innovative thinking flourishes. You'll work alongside talented professionals while contributing to technology that's transforming local commerce. This internship is an excellent opportunity to gain practical experience in applied machine learning while making a meaningful impact on a platform used by millions.