This role pays more than
95%
of similar roles. Most pay
$211,200–$260,554
— the shaded band above.
At the midpoint, this role pays about
$332k
versus about
$236k
for comparable roles.
Based on 240 similar postings.
Employer
About DoorDash, Inc
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
187 open roles
on FindRole.
Listed pay typically runs
$144,800–$212,950
across 166 roles with salary data.
As a Principal Machine Learning Engineer, Ads & Promos Delivery, you will join the team responsible for the last-mile delivery of ads and promotions to connect merchant intent with consumer demand. You will lead the technical direction for AI-first experiences, building next-generation ranking systems using sequence modeling, deep learning, and large language models. Your daily work involves managing the full model lifecycle, including data analysis, feature engineering, and offline and online A/B testing to optimize for relevance and marketplace health. The role requires expertise in Python, Java, or C++, along with proficiency in PyTorch, TensorFlow, or XGBoost. You will solve complex problems in query understanding, user representation learning, and multi-objective optimization within a closed-loop marketplace. Key technical domains include information retrieval, recommendation systems, natural language processing, and RAG architectures to ensure high-quality results under strict latency constraints.
What does a Machine Learning Engineer earn in California?
Median $246394 from 172 postings across 28 companies.
Large Language Models
Python
PyTorch
TensorFlow
XGBoost
Natural Language Processing
Information Retrieval
Ranking and Relevance
Recommendation Systems
RAG
Prompt Engineering
C++
Java
A/B Testing
Feature Engineering
Deep Learning
Sequence Modeling