Engineering Manager, New Business Verticals - Machine Learning
About The Position
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. 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
Requirements
- 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
Nice To Haves
- Experience in leading successful application of machine learning to ranking and recommendation real-world problems is preferred
Responsibilities
- 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
Benefits
- a 401(k) plan with employer matching
- 16 weeks of paid parental leave
- wellness benefits
- commuter benefits match
- paid time off and paid sick leave in compliance with applicable laws (e.g. Colorado Healthy Families and Workplaces Act)
- medical, dental, and vision benefits
- 11 paid holidays
- disability and basic life insurance
- family-forming assistance
- a mental health program
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What This Job Offers
Job Type
Full-time
Career Level
Manager
Education Level
Ph.D. or professional degree
