Machine Learning Engineer - DoorDash Labs

DoorDash Labs, an independent team within DoorDash, is seeking a Machine Learning Engineer to help transform last-mile logistics through robotics and automation. This role offers an exciting opportunity to work on cutting-edge ML solutions that directly impact millions of users across DoorDash's three-sided marketplace of consumers, merchants, and dashers.

The position requires a strong background in machine learning, with candidates needing either 3+ years post-PhD experience or 5+ years post-graduate degree experience. You'll be working with a robust data and ML infrastructure to develop inference and ML models that tackle critical business challenges. The role involves end-to-end ownership of the modeling lifecycle, from feature creation to production deployment and maintenance.

As part of DoorDash, you'll join a mission-driven company that's committed to empowering local economies. The company offers comprehensive benefits including competitive base salary ($159,800 - $235,000), equity grants, excellent healthcare coverage, 401(k) matching, and extensive parental leave. The work environment promotes diversity, inclusion, and continuous learning.

Key responsibilities include building production ML models to enhance consumer experience, reducing service issues like missing items and incorrect delivery times, and developing sophisticated experimentation techniques. You'll collaborate with engineers, analysts, and product managers to drive business growth through data-driven solutions.

The ideal candidate should have expertise in Python and ML frameworks, deep understanding of marketplace systems, and experience with production-grade ML models. This role requires presence in either San Francisco or Sunnyvale, CA, offering the opportunity to work on transformative technology in one of the world's leading delivery logistics companies.