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Staff Machine Learning Engineer - Ads Economics

DoorDash

Software and Technology Jobs

Staff Machine Learning Engineer - Ads Economics

full-timePosted: Dec 10, 2025

Job Description

Staff Machine Learning Engineer - Ads Economics at DoorDash

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

Key Responsibilities

  • Lead the technical design and implementation of ML solutions for key Ads Economics areas such as Auction, budget pacing, bidding optimization, and forecasting.
  • Partner closely with Product, Data Science, and Engineering teams to design experiments, model frameworks, and production ML systems that directly impact advertiser ROI and marketplace efficiency.
  • 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 ad delivery outcomes and marketplace health.
  • Set best practices for model training, evaluation, deployment, and monitoring.
  • Act as a technical thought leader for Ads ML — influencing roadmap, experimentation design, and overall Ads system evolution.

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.
  • Expertise in at least one of: auction design, pacing, bidding optimization, or forecasting.
  • Strong understanding of probability theory, statistics, and machine learning fundamentals.
  • 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

  • Building production-scale ML systems
  • Auction design, pacing, bidding optimization, or forecasting
  • Probability theory, statistics, and machine learning fundamentals
  • Leading cross-functional initiatives
  • Communication skills
  • Technical mentorship

Preferred Qualifications

  • Experience in Ads 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

The mission of the Ads Economics team is to ensure we maintain a healthy ads marketplace across all our verticals for both search (query context) and discovery experiences while fulfilling the requirements of all players in this marketplace.

Ads Economics is a critical part of the Ads Delivery funnel with a broad charter responsible for Bidding, Auction Design, Budget Pacing, Forecasting, and Ads Experimentation. Our work directly shapes advertiser experience, consumer experience, and marketplace balance. We leverage artificial intelligence and advanced ML, deep learning techniques to power decision-making in real time — from optimizing ad auctions to generating the most efficient bids and pacing budgets dynamically. These models sit at the heart of DoorDash’s ad d...

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

Locations

  • San Francisco, United States

Salary

137,100 - 299,300 USD / yearly

Skills Required

  • Building production-scale ML systemsintermediate
  • Auction design, pacing, bidding optimization, or forecastingintermediate
  • Probability theory, statistics, and machine learning fundamentalsintermediate
  • Leading cross-functional initiativesintermediate
  • Communication skillsintermediate
  • Technical mentorshipintermediate

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)
  • Expertise in at least one of: auction design, pacing, bidding optimization, or forecasting. (experience)
  • Strong understanding of probability theory, statistics, and machine learning fundamentals. (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 Ads or marketplace systems is a plus (experience)

Responsibilities

  • Lead the technical design and implementation of ML solutions for key Ads Economics areas such as Auction, budget pacing, bidding optimization, and forecasting.
  • Partner closely with Product, Data Science, and Engineering teams to design experiments, model frameworks, and production ML systems that directly impact advertiser ROI and marketplace efficiency.
  • 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 ad delivery outcomes and marketplace health.
  • Set best practices for model training, evaluation, deployment, and monitoring.
  • Act as a technical thought leader for Ads ML — influencing roadmap, experimentation design, and overall Ads system evolution.

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

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

Staff Machine Learning Engineer - Ads Economics

DoorDash

Software and Technology Jobs

Staff Machine Learning Engineer - Ads Economics

full-timePosted: Dec 10, 2025

Job Description

Staff Machine Learning Engineer - Ads Economics at DoorDash

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

Key Responsibilities

  • Lead the technical design and implementation of ML solutions for key Ads Economics areas such as Auction, budget pacing, bidding optimization, and forecasting.
  • Partner closely with Product, Data Science, and Engineering teams to design experiments, model frameworks, and production ML systems that directly impact advertiser ROI and marketplace efficiency.
  • 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 ad delivery outcomes and marketplace health.
  • Set best practices for model training, evaluation, deployment, and monitoring.
  • Act as a technical thought leader for Ads ML — influencing roadmap, experimentation design, and overall Ads system evolution.

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.
  • Expertise in at least one of: auction design, pacing, bidding optimization, or forecasting.
  • Strong understanding of probability theory, statistics, and machine learning fundamentals.
  • 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

  • Building production-scale ML systems
  • Auction design, pacing, bidding optimization, or forecasting
  • Probability theory, statistics, and machine learning fundamentals
  • Leading cross-functional initiatives
  • Communication skills
  • Technical mentorship

Preferred Qualifications

  • Experience in Ads 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

The mission of the Ads Economics team is to ensure we maintain a healthy ads marketplace across all our verticals for both search (query context) and discovery experiences while fulfilling the requirements of all players in this marketplace.

Ads Economics is a critical part of the Ads Delivery funnel with a broad charter responsible for Bidding, Auction Design, Budget Pacing, Forecasting, and Ads Experimentation. Our work directly shapes advertiser experience, consumer experience, and marketplace balance. We leverage artificial intelligence and advanced ML, deep learning techniques to power decision-making in real time — from optimizing ad auctions to generating the most efficient bids and pacing budgets dynamically. These models sit at the heart of DoorDash’s ad d...

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

Locations

  • San Francisco, United States

Salary

137,100 - 299,300 USD / yearly

Skills Required

  • Building production-scale ML systemsintermediate
  • Auction design, pacing, bidding optimization, or forecastingintermediate
  • Probability theory, statistics, and machine learning fundamentalsintermediate
  • Leading cross-functional initiativesintermediate
  • Communication skillsintermediate
  • Technical mentorshipintermediate

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)
  • Expertise in at least one of: auction design, pacing, bidding optimization, or forecasting. (experience)
  • Strong understanding of probability theory, statistics, and machine learning fundamentals. (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 Ads or marketplace systems is a plus (experience)

Responsibilities

  • Lead the technical design and implementation of ML solutions for key Ads Economics areas such as Auction, budget pacing, bidding optimization, and forecasting.
  • Partner closely with Product, Data Science, and Engineering teams to design experiments, model frameworks, and production ML systems that directly impact advertiser ROI and marketplace efficiency.
  • 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 ad delivery outcomes and marketplace health.
  • Set best practices for model training, evaluation, deployment, and monitoring.
  • Act as a technical thought leader for Ads ML — influencing roadmap, experimentation design, and overall Ads system evolution.

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

Travel Requirements

0%

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

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

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

Check Your ATS Score for "Staff Machine Learning Engineer - Ads Economics" , 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 Staff Machine Learning Engineer - Ads Economics @ DoorDash.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.