Senior Engineering Manager, Consumer Machine Learning

Details of the offer

About the Team DoorDash is looking for a Senior Engineering Manager with an ML background to lead our Consumer Machine Learning team. This team is responsible for building end-to-end ML products and solutions to power the entire shopping journey while maximizing value for Consumers, Merchants, and DoorDash. The charter of the team includes homepage recommendation and ranking, search relevance and quality, intelligent notifications, shopping recommendations, etc.

About The Role You will lead a team of strong ML engineers and managers making each customer's every interaction with DoorDash personalized. You will also be defining DoorDash's machine learning and AI strategy and lead our implementation.

You're Excited About This Opportunity Because You Will… Lead and grow a team of exceptional machine learning engineers and managers, building end-to-end ML products across homepage recommendation and ranking, search relevance and quality, intelligent notification, etc. Leverage cutting-edge LLM and Deep Learning (GNN, MTL, Transformers) to augment DoorDash's ML stack. Work with cross-functional partners to define consumer product, business, and technology strategy and deliver immense impact. Encourage innovation, implementation of cutting-edge technologies, outside-of-the-box thinking, and teamwork. Build an outstanding team by coaching and empowering engineers and managers through delegation, and applying your technical expertise to hold your team to the highest engineering standards. Scale the team by developing internal talent and attracting top external talent. We're Excited About You Because You Have… B.S., M.S., or PhD. in Computer Science or equivalent. 10+ years of industry experience. Minimum of 5 years of leadership experience. Broad machine learning knowledge with a strong ML modeling foundation. Extensive experience in leading recommendation, ranking, search, or equivalent ML teams building consumer-facing products. Strong communication skills and the ability to partner with teams spanning many disciplines. Ability to guide and grow excellent engineering teams in a rapidly changing business environment.
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Nominal Salary: To be agreed

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