Engineering Manager, New Business Verticals (Machine Learning)

About the Team

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

The NVML organization is divided into three key teams:

• Consumer ML Team: Focused on developing solutions for personalization, discovery, growth, and search to enhance user engagement and satisfaction.

• Fulfillment and Inventory ML Team: Ensures every delivery is of high quality and affordable by optimizing the matching of orders with motivated and capable delivery individuals. Makes sure we have real time understanding of in-store item availability.

• Product Knowledge Graph ML Team: Creates advanced ML-driven catalog building solutions, heavily leveraging Generative AI to manage and organize product information effectively.

As DoorDash expands into new verticals, the challenge of delivering a high-quality, reliable, and affordable shopping experience becomes more complex and exciting, offering vast opportunities for innovation and impact.

About the Role

As a Machine Learning Engineering Manager, you will lead a team of world-class ML engineers within one of the NVML sub-areas. 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 approaches

• Leverage cutting edge Personalization and Search Algorithms, Forecasting techniques, Time-series modeling, Deep Learning (GNN, MTML, Transformers), Computer Vision, and LLMs 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 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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