Principal Machine Learning Engineer, Ads & Promos Delivery

Doordashusa

Sunnyvale, CA, United States
$268,600 - $395,000 usd py
On-site
State-of-the-art machine learning
Large-scale ml modeling
Applied engineering
The Ads & Promos Delivery team powers the last-mile delivery of ads and promotions, connecting merchant intent with consumer demand across search and discovery experiences

Job Summary

  • The Ads & Promos Delivery team powers the last-mile delivery of ads and promotions, connecting merchant intent with consumer demand across search and discovery experiences.
  • As a Principal Engineer, you will lead the technical direction for AI-first experiences, including ranking and relevance systems that sit at the core of our ads marketplace and shape how ads are selected, ordered, and personalized in real time across all verticals.
  • This is a high-impact role for someone who enjoys combining economic intuition, large-scale ML modeling, and applied engineering to solve complex real-world optimization problems.

Matching Summary

The Ads & Promos Delivery team powers the last-mile delivery of ads and promotions, connecting merchant intent with consumer demand across search and discovery experiences.

Salary

$268,600 - $395,000 USD

Skills & Requirements

Must-have

  • state-of-the-art machine learning
  • large-scale ML modeling
  • applied engineering
  • real-world optimization problems
  • deep learning
  • large language models
  • information retrieval
  • ranking and relevance
  • recommendation systems
  • natural language processing
  • content understanding
  • Python, Java, or C++
  • PyTorch, TensorFlow, or XGBoost

Nice-to-have

  • economic intuition
  • cross-team alignment
  • emerging research
  • prompt engineering
  • retrieval-augmented generation (RAG)
  • Generative RecSys
  • user modeling
  • open-source projects
  • applied research

Key Requirements

  • 5+ years of experience
  • BS, MS, or PhD in Computer Science, Engineering, or related field, or equivalent practical experience
  • Extensive experience across the full ML lifecycle

Work Rights

Not specified

Tailored Resume

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