Machine Learning Engineer, Marketplace Optimization
DoorDash, Inc
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How this pay compares to similar roles
This role pays more than 97% of similar roles. Most pay $183,752–$251,775 — the shaded band above. At the midpoint, this role pays about $332k versus about $218k for comparable roles.
Based on 240 similar postings.
Employer
DoorDash, Inc. is an American company operating online food ordering and food delivery. It trades under the symbol DASH. With a 56% market share, DoorDash is the largest food delivery platform in the United States.
DoorDash, Inc currently has 238 open roles on FindRole.
Listed pay typically runs $131,600–$193,500 across 156 roles with salary data.
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At a glance
As a Principal Machine Learning Engineer on the Ads & Promos Delivery team at DoorDash, you will lead the technical direction of AI-first experiences, focusing on ranking and relevance systems that shape how ads are selected and personalized across all verticals. Your day-to-day responsibilities include designing next-generation AI models using deep learning and large language models (LLMs), evaluating these models rigorously through offline analysis and online experimentation, and ensuring seamless integration from research to production. You will collaborate closely with product managers, data scientists, and designers to deliver impactful improvements in user experience. The role requires expertise in Python, Java, or C++, proficiency with ML frameworks like PyTorch and TensorFlow, and a strong background in deep learning, information retrieval, and recommendation systems. This position offers the unique opportunity to define how modern AI reshapes ads relevance in DoorDash’s rapidly expanding global marketplace.
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