DoorDash USA
Engineering Manager, New Business Verticals (Machine Learning)
DoorDash USA, Seattle, Washington, us, 98127
About the TeamDoorDash 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 RoleAs 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 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.
7+ years of industry experience.
Minimum of 2 years of leadership experience.
Broad knowledge of machine learning with a strong ML modeling foundation.
Extensive experience in building user-facing products 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.
CompensationThe location-specific base salary range for this position is listed below. Compensation in other geographies may vary.
Actual compensation within the pay range will be decided based on factors including, but not limited to, skills, prior relevant experience, and specific work location. For roles that are available to be filled remotely, base salary is localized according to employee work location. Please discuss your intended work location with your recruiter for more information.
DoorDash cares about you and your overall well-being, and that’s why we offer a comprehensive benefits package for full-time employees that includes healthcare benefits, a 401(k) plan including an employer match, short-term and long-term disability coverage, basic life insurance, wellbeing benefits, paid time off, paid parental leave, and several paid holidays, among others.
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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 RoleAs 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 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.
7+ years of industry experience.
Minimum of 2 years of leadership experience.
Broad knowledge of machine learning with a strong ML modeling foundation.
Extensive experience in building user-facing products 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.
CompensationThe location-specific base salary range for this position is listed below. Compensation in other geographies may vary.
Actual compensation within the pay range will be decided based on factors including, but not limited to, skills, prior relevant experience, and specific work location. For roles that are available to be filled remotely, base salary is localized according to employee work location. Please discuss your intended work location with your recruiter for more information.
DoorDash cares about you and your overall well-being, and that’s why we offer a comprehensive benefits package for full-time employees that includes healthcare benefits, a 401(k) plan including an employer match, short-term and long-term disability coverage, basic life insurance, wellbeing benefits, paid time off, paid parental leave, and several paid holidays, among others.
#J-18808-Ljbffr