Machine Learning Engineer, Marketplace Optimization

DoorDash US
San Francisco, Sunnyvale
Workplace: OnsiteFull timeUSD 137,100 - 201,600 annuallyFunction: Data Science & Machine LearningSkills: ["Communication","Collaboration","Curiosity","Growth mindset"]

Design, build, and scale large-scale ML systems for the Ads Delivery funnel at DoorDash, focusing on pacing, bidding, auction and targeting optimization. Collaborate with DS and Product, improve ML infrastructure with Platform/Infra, and contribute to system design and experimentation to drive marketplace efficiency and fairness.

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FursaFursa
DoorDash US
DoorDash US
7 months ago

Machine Learning Engineer, Marketplace Optimization

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 10 hours agoStatus: Live

Job Summary

Design, build, and scale large-scale ML systems for the Ads Delivery funnel at DoorDash, focusing on pacing, bidding, auction and targeting optimization. Collaborate with DS and Product, improve ML infrastructure with Platform/Infra, and contribute to system design and experimentation to drive marketplace efficiency and fairness.
Location: San Francisco, Sunnyvale
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Design, build, and deploy ML models and pipelines for pacing, bidding, auction and targeting optimization.
  • •Collaborate with Data Science and Product teams to develop and evaluate new algorithms through rigorous experimentation.
  • •Improve and scale existing ML infrastructure and data pipelines in partnership with Platform and Infra teams.
  • •Write high-quality, maintainable code and participate in system design and peer reviews.
  • •Learn from senior engineers and contribute to technical discussions that shape the team’s roadmap.

Pay and Benefits

Salary: USD 137,100 - 201,600 annually

Key Requirements

  • •B.S., M.S., or Ph.D. in Computer Science, Machine Learning, Statistics, or a related field.
  • •Industry experience building or maintaining machine learning systems in production.
  • •Strong programming skills in Python, Java, or C++, and experience with ML frameworks such as TensorFlow, PyTorch, or XGBoost.
  • •Excellent communication and collaboration skills — comfortable working with cross-functional partners in Product, DS, and Engineering.
  • •Curiosity and a growth mindset — motivated to learn, iterate quickly, and take ownership of impactful projects.
Experience:AdvertisingMlMarketplace
Skills:CommunicationCollaborationCuriosityGrowth mindset
Languages:English
Tech Stack:PythonJavaC++TensorFlowPyTorchXGBoost

Company Brief

DoorDash US
On-demand logistics platform connecting consumers with local restaurants, grocers, and retailers for food delivery, pickup, and convenience services. Operates a marketplace and last-mile delivery network while offering tools and analytics for merchants and couriers.
Industry: Online Marketplaces
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: San Francisco, United States
Founded: 2013
WebsiteLinkedIn