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DoorDash logo

Staff Machine Learning Engineer - DashPass

DoorDash

Staff Machine Learning Engineer - DashPass

DoorDash logo

DoorDash

full-time

Posted: December 19, 2025

Number of Vacancies: 1

Job Description

Staff Machine Learning Engineer - DashPass at DoorDash

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

Key Responsibilities

  • Contribute to Causal inference modeling to measure the incremental impact of DashPass Subscriber acquisition and retention strategies.
  • Incentive optimization frameworks that personalize progressive rewards to improve spend efficiency.
  • Budget allocation and forecasting models that identify optimal spend across acquisition, referrals, and retention.
  • Partner closely with Product, Data Science, and Engineering teams to design experiments, model frameworks, and production ML systems that directly impact DashPass subscriber growth metrics.
  • Provide technical mentorship and guidance to engineers and cross-functional partners — leading through influence, not management.
  • Build and deploy 0→1 ML systems that improve subscriber outcomes and marketplace health.
  • Set best practices for model training, evaluation, deployment, and monitoring

Required Qualifications

  • M.S. or Ph.D. in Computer Science, Machine Learning, Statistics, or a related field.
  • 8+ years of industry experience building production-scale ML systems.
  • Strong understanding of probability theory, statistics, and machine learning fundamentals.
  • Strong programming skills in Python, Java, or C++, and experience with ML frameworks such as TensorFlow, PyTorch, or XGBoost.
  • Interest in building and leading a new team that has broad impact across a wide range of problem spaces to support a critical business line.
  • Proven ability to lead cross-functional initiatives and drive complex technical projects end-to-end.
  • Excellent communication skills — able to explain technical concepts to product, business, and engineering audiences.

Key Skills

  • Strong understanding of probability theory, statistics, and machine learning fundamentals
  • Strong programming skills in Python, Java, or C++
  • Experience with ML frameworks such as TensorFlow, PyTorch, or XGBoost
  • Excellent communication skills
  • Proven ability to lead cross-functional initiatives

Preferred Qualifications

  • Experience in subscriptions growth or marketplace systems is a plus.

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

$1,37,100 - $2,99,300 USD annually

Job Summary

About the Team

DashPass is DoorDash’s subscription loyalty program that delivers lower delivery fees and a host of additional benefits and value to a large subscriber base of both paid and sponsored subscriptions. DashPass subscribers enjoy lower delivery fees, faster ETAs, 3rd party partnerships, and special discounts and promotions to get maximum value of their membership.

Several teams are part of the DashPass org including Growth, Habituation, Member Experience, Exclusive Offers, and Partnerships. All of these teams require personalized targeting of offers and promotions to entice active Doordash consumers to sign up for DashPass and actively engage with their subscription in a personalized way, as well as reduce churn by offering personalized incentives to DashPass subscribe...

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

Locations

  • San Francisco, United States

Salary

137,100 - 299,300 USD / yearly

Skills Required

  • Strong understanding of probability theory, statistics, and machine learning fundamentalsintermediate
  • Strong programming skills in Python, Java, or C++intermediate
  • Experience with ML frameworks such as TensorFlow, PyTorch, or XGBoostintermediate
  • Excellent communication skillsintermediate
  • Proven ability to lead cross-functional initiativesintermediate

Required Qualifications

  • M.S. or Ph.D. in Computer Science, Machine Learning, Statistics, or a related field. (experience)
  • 8+ years of industry experience building production-scale ML systems. (experience)
  • Strong understanding of probability theory, statistics, and machine learning fundamentals. (experience)
  • Strong programming skills in Python, Java, or C++, and experience with ML frameworks such as TensorFlow, PyTorch, or XGBoost. (experience)
  • Interest in building and leading a new team that has broad impact across a wide range of problem spaces to support a critical business line. (experience)
  • Proven ability to lead cross-functional initiatives and drive complex technical projects end-to-end. (experience)
  • Excellent communication skills — able to explain technical concepts to product, business, and engineering audiences. (experience)

Preferred Qualifications

  • Experience in subscriptions growth or marketplace systems is a plus. (experience)

Responsibilities

  • Contribute to Causal inference modeling to measure the incremental impact of DashPass Subscriber acquisition and retention strategies.
  • Incentive optimization frameworks that personalize progressive rewards to improve spend efficiency.
  • Budget allocation and forecasting models that identify optimal spend across acquisition, referrals, and retention.
  • Partner closely with Product, Data Science, and Engineering teams to design experiments, model frameworks, and production ML systems that directly impact DashPass subscriber growth metrics.
  • Provide technical mentorship and guidance to engineers and cross-functional partners — leading through influence, not management.
  • Build and deploy 0→1 ML systems that improve subscriber outcomes and marketplace health.
  • Set best practices for model training, evaluation, deployment, and monitoring

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: Flexible paid time off/vacation for salaried roles, plus 80 hours of paid sick time per year

Travel Requirements

0%

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DoorDash logo

Staff Machine Learning Engineer - DashPass

DoorDash

Staff Machine Learning Engineer - DashPass

DoorDash logo

DoorDash

full-time

Posted: December 19, 2025

Number of Vacancies: 1

Job Description

Staff Machine Learning Engineer - DashPass at DoorDash

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

Key Responsibilities

  • Contribute to Causal inference modeling to measure the incremental impact of DashPass Subscriber acquisition and retention strategies.
  • Incentive optimization frameworks that personalize progressive rewards to improve spend efficiency.
  • Budget allocation and forecasting models that identify optimal spend across acquisition, referrals, and retention.
  • Partner closely with Product, Data Science, and Engineering teams to design experiments, model frameworks, and production ML systems that directly impact DashPass subscriber growth metrics.
  • Provide technical mentorship and guidance to engineers and cross-functional partners — leading through influence, not management.
  • Build and deploy 0→1 ML systems that improve subscriber outcomes and marketplace health.
  • Set best practices for model training, evaluation, deployment, and monitoring

Required Qualifications

  • M.S. or Ph.D. in Computer Science, Machine Learning, Statistics, or a related field.
  • 8+ years of industry experience building production-scale ML systems.
  • Strong understanding of probability theory, statistics, and machine learning fundamentals.
  • Strong programming skills in Python, Java, or C++, and experience with ML frameworks such as TensorFlow, PyTorch, or XGBoost.
  • Interest in building and leading a new team that has broad impact across a wide range of problem spaces to support a critical business line.
  • Proven ability to lead cross-functional initiatives and drive complex technical projects end-to-end.
  • Excellent communication skills — able to explain technical concepts to product, business, and engineering audiences.

Key Skills

  • Strong understanding of probability theory, statistics, and machine learning fundamentals
  • Strong programming skills in Python, Java, or C++
  • Experience with ML frameworks such as TensorFlow, PyTorch, or XGBoost
  • Excellent communication skills
  • Proven ability to lead cross-functional initiatives

Preferred Qualifications

  • Experience in subscriptions growth or marketplace systems is a plus.

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

$1,37,100 - $2,99,300 USD annually

Job Summary

About the Team

DashPass is DoorDash’s subscription loyalty program that delivers lower delivery fees and a host of additional benefits and value to a large subscriber base of both paid and sponsored subscriptions. DashPass subscribers enjoy lower delivery fees, faster ETAs, 3rd party partnerships, and special discounts and promotions to get maximum value of their membership.

Several teams are part of the DashPass org including Growth, Habituation, Member Experience, Exclusive Offers, and Partnerships. All of these teams require personalized targeting of offers and promotions to entice active Doordash consumers to sign up for DashPass and actively engage with their subscription in a personalized way, as well as reduce churn by offering personalized incentives to DashPass subscribe...

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

Locations

  • San Francisco, United States

Salary

137,100 - 299,300 USD / yearly

Skills Required

  • Strong understanding of probability theory, statistics, and machine learning fundamentalsintermediate
  • Strong programming skills in Python, Java, or C++intermediate
  • Experience with ML frameworks such as TensorFlow, PyTorch, or XGBoostintermediate
  • Excellent communication skillsintermediate
  • Proven ability to lead cross-functional initiativesintermediate

Required Qualifications

  • M.S. or Ph.D. in Computer Science, Machine Learning, Statistics, or a related field. (experience)
  • 8+ years of industry experience building production-scale ML systems. (experience)
  • Strong understanding of probability theory, statistics, and machine learning fundamentals. (experience)
  • Strong programming skills in Python, Java, or C++, and experience with ML frameworks such as TensorFlow, PyTorch, or XGBoost. (experience)
  • Interest in building and leading a new team that has broad impact across a wide range of problem spaces to support a critical business line. (experience)
  • Proven ability to lead cross-functional initiatives and drive complex technical projects end-to-end. (experience)
  • Excellent communication skills — able to explain technical concepts to product, business, and engineering audiences. (experience)

Preferred Qualifications

  • Experience in subscriptions growth or marketplace systems is a plus. (experience)

Responsibilities

  • Contribute to Causal inference modeling to measure the incremental impact of DashPass Subscriber acquisition and retention strategies.
  • Incentive optimization frameworks that personalize progressive rewards to improve spend efficiency.
  • Budget allocation and forecasting models that identify optimal spend across acquisition, referrals, and retention.
  • Partner closely with Product, Data Science, and Engineering teams to design experiments, model frameworks, and production ML systems that directly impact DashPass subscriber growth metrics.
  • Provide technical mentorship and guidance to engineers and cross-functional partners — leading through influence, not management.
  • Build and deploy 0→1 ML systems that improve subscriber outcomes and marketplace health.
  • Set best practices for model training, evaluation, deployment, and monitoring

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: Flexible paid time off/vacation for salaried roles, plus 80 hours of paid sick time per year

Travel Requirements

0%

Target Your Resume for "Staff Machine Learning Engineer - DashPass" , DoorDash

Get personalized recommendations to optimize your resume specifically for Staff Machine Learning Engineer - DashPass. Takes only 15 seconds!

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

Check Your ATS Score for "Staff Machine Learning Engineer - DashPass" , 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

Related Jobs You May Like

No related jobs found at the moment.