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Engineering Manager, New Business Verticals - Machine Learning

DoorDash

Software and Technology Jobs

Engineering Manager, New Business Verticals - Machine Learning

full-timePosted: Dec 10, 2025

Job Description

Engineering Manager, New Business Verticals - Machine Learning at DoorDash

DoorDash is revolutionizing food delivery and local commerce. Join our mission to grow and connect communities!

Key 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

Required Qualifications

  • 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

Key Skills

  • Machine learning
  • Operations Research
  • ML modeling
  • Forecasting and Time-series modeling
  • Last Mile Logistics Optimization
  • Computer Vision
  • Classical ML
  • Generative AI
  • Strong communication skills
  • Leadership and team management

Preferred Qualifications

  • Experience in leading successful application of machine learning to ranking and recommendation real-world problems

DoorDash Benefits

  • 401(k) plan with employer matching
  • 16 weeks of paid parental leave
  • Wellness benefits
  • Commuter benefits match
  • Paid time off
  • Paid sick leave
  • Medical, dental, and vision benefits
  • 11 paid holidays
  • Disability and basic life insurance
  • Family-forming assistance

Salary Range

$1,93,800 - $2,85,000 USD annually

Job Summary

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 ...

    Food Delivery Jobs | Logistics Tech | Remote Work Opportunities | DoorDash Careers

Locations

  • San Francisco, United States

Salary

193,800 - 285,000 USD / yearly

Skills Required

  • Machine learningintermediate
  • Operations Researchintermediate
  • ML modelingintermediate
  • Forecasting and Time-series modelingintermediate
  • Last Mile Logistics Optimizationintermediate
  • Computer Visionintermediate
  • Classical MLintermediate
  • Generative AIintermediate
  • Strong communication skillsintermediate
  • Leadership and team managementintermediate

Required Qualifications

  • B.S., M.S., or PhD. in Computer Science or equivalent. (experience)
  • 7+ years of industry experience (experience)
  • Minimum of 2 years of leadership experience (experience)
  • Broad knowledge of machine learning with strong Operations Research and ML modeling foundation (experience)
  • Extensive experience in building user-facing product and working directly with product managers (experience)
  • Strong communication skills and the ability to partner with teams spanning many disciplines (experience)
  • Ability to guide and grow an excellent engineering team in a rapidly changing business environment (experience)

Preferred Qualifications

  • Experience in leading successful application of machine learning to ranking and recommendation real-world problems (experience)

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

  • general: 401(k) plan with employer matching
  • general: 16 weeks of paid parental leave
  • general: Wellness benefits
  • general: Commuter benefits match
  • general: Paid time off
  • general: Paid sick leave
  • general: Medical, dental, and vision benefits
  • general: 11 paid holidays
  • general: Disability and basic life insurance
  • general: Family-forming assistance
  • general: Mental health program
  • general: Premium healthcare
  • general: Wellness expense reimbursement

Travel Requirements

0%

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341 Executive EngineeringDoorDash JobsFood DeliveryLogisticsTech JobsSoftware EngineerProduct ManagerData AnalystRemote JobsSan Francisco TechGig EconomyTechnologyLogisticsFood Delivery341 Executive Engineering

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DoorDash logo

Engineering Manager, New Business Verticals - Machine Learning

DoorDash

Software and Technology Jobs

Engineering Manager, New Business Verticals - Machine Learning

full-timePosted: Dec 10, 2025

Job Description

Engineering Manager, New Business Verticals - Machine Learning at DoorDash

DoorDash is revolutionizing food delivery and local commerce. Join our mission to grow and connect communities!

Key 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

Required Qualifications

  • 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

Key Skills

  • Machine learning
  • Operations Research
  • ML modeling
  • Forecasting and Time-series modeling
  • Last Mile Logistics Optimization
  • Computer Vision
  • Classical ML
  • Generative AI
  • Strong communication skills
  • Leadership and team management

Preferred Qualifications

  • Experience in leading successful application of machine learning to ranking and recommendation real-world problems

DoorDash Benefits

  • 401(k) plan with employer matching
  • 16 weeks of paid parental leave
  • Wellness benefits
  • Commuter benefits match
  • Paid time off
  • Paid sick leave
  • Medical, dental, and vision benefits
  • 11 paid holidays
  • Disability and basic life insurance
  • Family-forming assistance

Salary Range

$1,93,800 - $2,85,000 USD annually

Job Summary

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 ...

    Food Delivery Jobs | Logistics Tech | Remote Work Opportunities | DoorDash Careers

Locations

  • San Francisco, United States

Salary

193,800 - 285,000 USD / yearly

Skills Required

  • Machine learningintermediate
  • Operations Researchintermediate
  • ML modelingintermediate
  • Forecasting and Time-series modelingintermediate
  • Last Mile Logistics Optimizationintermediate
  • Computer Visionintermediate
  • Classical MLintermediate
  • Generative AIintermediate
  • Strong communication skillsintermediate
  • Leadership and team managementintermediate

Required Qualifications

  • B.S., M.S., or PhD. in Computer Science or equivalent. (experience)
  • 7+ years of industry experience (experience)
  • Minimum of 2 years of leadership experience (experience)
  • Broad knowledge of machine learning with strong Operations Research and ML modeling foundation (experience)
  • Extensive experience in building user-facing product and working directly with product managers (experience)
  • Strong communication skills and the ability to partner with teams spanning many disciplines (experience)
  • Ability to guide and grow an excellent engineering team in a rapidly changing business environment (experience)

Preferred Qualifications

  • Experience in leading successful application of machine learning to ranking and recommendation real-world problems (experience)

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

  • general: 401(k) plan with employer matching
  • general: 16 weeks of paid parental leave
  • general: Wellness benefits
  • general: Commuter benefits match
  • general: Paid time off
  • general: Paid sick leave
  • general: Medical, dental, and vision benefits
  • general: 11 paid holidays
  • general: Disability and basic life insurance
  • general: Family-forming assistance
  • general: Mental health program
  • general: Premium healthcare
  • general: Wellness expense reimbursement

Travel Requirements

0%

Target Your Resume for "Engineering Manager, New Business Verticals - Machine Learning" , DoorDash

Get personalized recommendations to optimize your resume specifically for Engineering Manager, New Business Verticals - Machine Learning. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Engineering Manager, New Business Verticals - Machine Learning" , DoorDash

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

341 Executive EngineeringDoorDash JobsFood DeliveryLogisticsTech JobsSoftware EngineerProduct ManagerData AnalystRemote JobsSan Francisco TechGig EconomyTechnologyLogisticsFood Delivery341 Executive Engineering

Answer 10 quick questions to check your fit for Engineering Manager, New Business Verticals - Machine Learning @ DoorDash.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.