Senior Software Engineer, Machine Learning - Personalization & Growth

About the Team

Come help us build the world's most reliable on-demand, logistics engine for last-mile retail delivery! We're looking for an experienced machine learning engineer to help us develop the cutting edge search and information retrieval models that power DoorDash's growing retail and grocery business.

About the Role

We're looking for a passionate Applied Machine Learning expert to join our team. As a Senior Machine Learning Scientist, you'll be conceptualizing, designing, implementing, and validating algorithmic improvements to the search and personalization experiences at the heart of our fast growing grocery and retail delivery business. In this role, you will leverage our robust data and machine learning infrastructure to implement new ML solutions to make the consumer search experience more relevant, seamless, and delightful across grocery, convenience, and many other retail categories. You will be expected to demonstrate a strong command of production level machine learning, a passion for solving end-user problems, and collaborate well with multi-disciplinary teams.

You will report into the engineering manager on our New Verticals Consumer ML team. We expect this role to be hybrid with some time in-office and some time remote (#LI-Hybrid).

You're excited about this opportunity because you will…

• Develop production machine learning solutions to build a world class personalized shopping experience for a diverse and expanding retail space.

• Partner with engineering and product leaders to help shape the product roadmap leveraging ML.

• Mentor junior team members, and lead cross functional pods to generate collective impact.

You can find out more on our ML blog