Staff Machine Learning Engineer

DoorDash is seeking a Staff Machine Learning Engineer to join their Personalization team, focusing on building the world's most reliable on-demand logistics engine for last-mile retail delivery. This role combines technical expertise with leadership, requiring 8+ years of experience in developing and deploying ML models. The position involves working on growth and personalization models for DoorDash's expanding retail and grocery business.

The ideal candidate will be responsible for developing sophisticated machine learning solutions that enhance the consumer search experience across grocery, convenience, and various retail categories. They will work with robust data and ML infrastructure to implement solutions that make the shopping experience more relevant and seamless. The role requires expertise in Causal Inference and Recommendation Systems, with additional value placed on knowledge of explore/exploit/MAB algorithms and LLMs.

This hybrid position offers competitive compensation, including a base salary range of $203,500 - $299,300 USD, plus equity opportunities. DoorDash provides comprehensive benefits including medical, dental, vision coverage, 401(k) with employer match, paid parental leave, and wellness benefits. The company strongly values diversity and inclusion, maintaining a commitment to creating an inclusive environment for all team members.

The role presents an exciting opportunity to impact DoorDash's growing retail presence through machine learning innovations, working with cross-functional teams, and mentoring junior members. The successful candidate will help shape the product roadmap while maintaining a focus on delivering business impact through practical ML solutions.