About the Team

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.

The NVML organization comprises three core teams:

• Fulfillment, Logistics, and Inventory ML Team: This team focuses on optimizing the matching of orders with capable delivery individuals to ensure high-quality and affordable deliveries using a mix of Operations Research, Deep Learning and classical ML methods. This team also maintains a real-time understanding of in-store item availability employing advanced ML and Computer Vision algorithms. 
• Consumer ML Team: Dedicated to enhancing user engagement and satisfaction through the development of solutions for personalization, discovery, growth, and search.
• Product Knowledge Graph ML Team: Responsible for creating advanced ML-driven catalog building solutions, significantly utilizing Generative AI to effectively manage and organize product information.

As DoorDash expands into new verticals, the complexity and excitement of delivering a high-quality, reliable, and affordable shopping experience increase, presenting extensive opportunities for innovation and impact.

About the Role

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.

You’re excited about this opportunity because you will…

• 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
• Build an outstanding team by coaching and empowering engineers through delegation, and applying your technical expertise to hold your team to the highest engineering standards
• Scale the team by developing internal, and attracting top external talent

We're excited about you because you have… 

• 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
• Ability to guide and grow an excellent engineering team in a rapidly changing business environment
• Experience in leading successful application of machine learning to ranking and recommendation real-world problems is preferred 

 

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