Engineering Manager, New Business Verticals - Machine Learning

B.S., M.S., or PhD. in Computer Science or equivalent.

7+ years of industry experience

Minimum of 2 years of leadership experience

Broad knowledge of machine learning with strong Operations Research and ML modeling foundation

Extensive experience in building user-facing product and working directly with product managers

Strong communication skills and the ability to partner with teams spanning many disciplines

As a Machine Learning Engineering Manager, you will lead a team of world-class ML engineers in the Fulfillment, Logistics and Inventory ML Team.  Your leadership will be crucial in redefining the local e-commerce landscape through advanced ML/AI methodologies.

Lead and grow a team of exceptional machine learning engineers delivering on end-to-end product features with state of the art ML/AI approaches

Leverage cutting edge Operations Research,  Forecasting and Time-series modeling techniques,  Last Mile Logistics Optimization,  Computer Vision, and a blend of Classical ML with Generative AI to solve real consumer problems

Work with Product, Design, and Business stakeholders across DoorDash to define the roadmap and vision for the team and deliver immense impact

Encourage innovation, implementation of cutting-edge technologies, outside-of-the-box thinking and teamwork

DoorDash is seeking an Engineering Manager with an ML/AI background to lead a Machine Learning/Artificial Intelligence team within the New Verticals Machine Learning (NVML) organization.