below marketmost similar roles pay hereabove market
This role pays less than
58%
of similar roles. Most pay
$207,918–$254,750
— the blue band above.
At the midpoint, this role pays about
$228k
versus about
$231k
for comparable roles.
Based on 240 similar postings.
Employer
About Zillow
Zillow Group is a leading real estate and rental marketplace providing consumers with data, tools, and services to find, buy, sell, rent, and finance homes, and connecting buyers with agents and lenders. Industry: Real Estate Technology & Marketplace
Zillow currently has
49 open roles
on FindRole.
Listed pay typically runs
$164,400–$262,600
across 40 roles with salary data.
JOB TITLE: Senior Machine Learning Engineer, Rich Media Experiences
As a Senior Machine Learning Engineer within the Rich Media Experiences team, you will join a group dedicated to creating immersive, AI-powered home experiences. You will design, build, and operate production-grade machine learning systems that transform photos, video, and spatial signals into structured representations. Specifically, you will work on the Instant Floor Plans team to develop systems that convert sensor-rich mobile captures into accurate 3D representations and floor plans. Your daily work involves leading end-to-end workflows including data pipelines, training, evaluation, deployment, and observability. You will utilize Python and frameworks like PyTorch or TensorFlow to solve problems in computer vision, structured prediction, and spatial data. You must balance experimentation with reliability to improve the quality and latency of rich-media products.
What does a Machine Learning Engineer earn in Remote?
Median $246638 from 41 postings across 11 companies.
Establish shared patterns, tooling, and best practices for machine learning engineering across the team.
Mentor peers through technical execution, code reviews, and debugging discipline.
What we're looking for
You have significant professional experience building and shipping machine learning models or ML-powered systems in production.
You have strong hands-on proficiency in Python and at least one modern machine learning framework, such as PyTorch or TensorFlow.
You have experience building and operating end-to-end machine learning workflows, including data pipelines, training, evaluation, deployment, and monitoring.
You have a strong foundation in machine learning fundamentals such as representation learning, structured prediction, computer vision, optimization, and failure analysis.
You are comfortable debugging model and system behavior in real-world environments using metrics, logs, and experiments.
You collaborate effectively with applied scientists, software engineers, and product partners in ambiguous, cross-functional settings.
You communicate technical ideas clearly and can influence decisions across disciplines.
Experience in computer vision, spatial data, 3D, AR/VR, mapping, search, or recommendation systems is a plus (preferred).
Machine Learning
C++
Python
PyTorch
TensorFlow
Computer Vision
Multi-sensor Fusion
Deep Learning
TensorRT
Transformers
Data Pipelines
Model Optimization
NVIDIA DRIVE AV
Object Detection
Semantic Segmentation