Principal Machine Learning Engineer, Ads & Promos Delivery

DoorDash US
Sunnyvale
Workplace: OnsiteFull timeUSD 268,600 - 395,000 annuallyFunction: Data Science & Machine LearningExperience: 5+ yearsEducation: mastersSkills: ["Communication","Collaboration","Problem-solving","Teamwork"]

Lead AI-first ranking and relevance systems for a high-impact ads marketplace, shaping how ads are selected, ordered, and personalized in real time. Design and productionize next-gen ML/LLM models with cross-team collaboration, balancing advertiser value, user experience, and marketplace health at scale across 40+ global markets.

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FursaFursa
DoorDash US
DoorDash US
5 months ago

Principal Machine Learning Engineer, Ads & Promos Delivery

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 3 hours agoStatus: Live

Job Summary

Lead AI-first ranking and relevance systems for a high-impact ads marketplace, shaping how ads are selected, ordered, and personalized in real time. Design and productionize next-gen ML/LLM models with cross-team collaboration, balancing advertiser value, user experience, and marketplace health at scale across 40+ global markets.
Location: Sunnyvale
Workplace: Onsite
Employment Type: Full time · Permanent
Job Function: Data Science & Machine Learning
Seniority: Manager level

Key Responsibilities

  • •Apply state-of-the-art ML and LLM techniques to personalization, query understanding, and content understanding.
  • •Rigorously evaluate ML/LLM models using offline analysis and online experiments, designing metrics and experiments to measure quality and impact.
  • •Own the full model lifecycle from research to production, including data analysis, development, evaluation, and online/offline experimentation.
  • •Partner closely with product managers, data scientists, and designers to ensure AI-driven systems deliver meaningful user-facing improvements.
  • •Stay at the forefront of ML/AI by translating research into scalable, production-ready systems.

Pay and Benefits

Salary: USD 268,600 - 395,000 annually
Equity and Bonus:Equity
Perks:Health InsuranceDentalVision401kParental LeaveCommuter BenefitsWellness StipendEquity

Key Requirements

  • •5+ years of experience building, deploying, and scaling ML and AI models for large-scale, user-facing or data-intensive products.
  • •BS, MS, or PhD in Computer Science, Engineering, or a related field, or equivalent practical experience.
  • •Deep expertise in deep learning, large language models, information retrieval, ranking or relevance, or NLP.
  • •Strong programming skills in Python, Java, or C++ with experience in PyTorch, TensorFlow, or XGBoost.
  • •Experience across the full ML lifecycle including data analysis, feature engineering, evaluation, and monitoring.
Experience:5+ yearsMlAiRankingNlpInformation retrieval
Education:Master's
Skills:CommunicationCollaborationProblem-solvingTeamwork
Languages:English
Tech Stack:PythonJavaC++PyTorchTensorFlowXGBoostLLMsInformation retrievalRankingNatural language processing

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