This role pays more than
92%
of similar roles. Most pay
$211,425–$259,421
— the shaded band above.
At the midpoint, this role pays about
$300k
versus about
$235k
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 Senior Staff Machine Learning Engineer on the Consumer Engineering Team, you will define and execute the personalization strategy for the entire consumer shopping journey. You will build and modernize recommendation systems using AI to make search experiences more relevant across restaurant, grocery, and retail categories. Your daily work involves driving engineering vision, setting architectural patterns, and leading multi-quarter technical roadmaps while mentoring a large organization of engineers. To succeed, you must possess deep expertise in deep learning, fine-tuning, and optimizing LLM systems through advanced prompting and structured outputs. You will utilize AI coding tools like Claude Code throughout the software development lifecycle to design, test, and release code. The role focuses on transitioning local commerce into agentic commerce by solving complex technical problems related to personalized discovery and seamless user experiences across various business segments.
What does a Machine Learning Engineer earn in California?
Median $246394 from 172 postings across 28 companies.
Machine Learning
Python
Golang
TensorFlow
PyTorch
Hugging Face
LLM
GenAI
RAG
Spark
Kafka
Ray
Airflow
BigQuery
Redis
Distributed Systems
NLP
Search Systems
Recommender Systems
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
Machine Learning
Python
Java
C++
Spark
SQL
Snowflake
Hadoop
TensorFlow
Keras
PyTorch
Generative AI
RAG
Transformer Architecture
Deep Learning
Reinforcement Learning
Distributed Systems
Data Processing Pipelines
Machine Learning
Python
Java
C++
Spark
SQL
Snowflake
Hadoop
TensorFlow
Keras
PyTorch
Generative AI
RAG
Transformer Architecture
Deep Learning
Reinforcement Learning
Distributed Systems
Data Processing Pipelines