As a Senior Applied Scientist on Zillow’s Rich Media (RMX) team, you will play a pivotal role in shaping the future of virtual home tours by tackling complex perception problems and developing innovative machine learning and computer vision models. Your day-to-day responsibilities include collaborating with cross-functional teams to translate user needs into research questions, designing robust evaluation pipelines, integrating models into production systems, and continuously monitoring and improving deployed solutions based on real-world data. You will leverage Python and deep learning frameworks like PyTorch or TensorFlow to build scalable and reliable ML systems, ensuring that your work enhances the immersive experience for users exploring homes virtually. This role requires a strong background in machine learning and computer vision, with expertise in handling noisy datasets and multi-modal challenges, as well as the ability to communicate technical ideas effectively across teams.
Skills
Python
PyTorch
TensorFlow
JAX
Machine Learning
Computer Vision
Data Pipelines
Deployment
Monitoring
Probability
Statistics
Experimental Design
Geometry
Spatial Understanding
Multi-modal Data
Sensor Fusion
CI/CD
GitHub
What you'll do
Define and solve complex perception problems using scientific and engineering best practices.
Design and implement machine learning and computer vision models for understanding spaces.
Develop robust evaluation pipelines to measure and improve model performance.
Integrate models into production systems, ensuring reliability and scalability.
Monitor deployed models based on real-world data and user feedback.
What we're looking for
5+ years of experience as an applied scientist in machine learning or computer vision with real-world applications.
Proficient in Python and deep learning frameworks like PyTorch, TensorFlow, or JAX for model deployment.
Experience in building and maintaining production ML systems including data pipelines and monitoring.
Strong background in probability, statistics, and experimental design for practical evaluation strategies.
Expertise in handling noisy datasets and designing robust solutions for complex edge cases.
Ability to communicate technical ideas effectively to both technical and non-technical stakeholders.
Proven success in ambiguous problem spaces or zero-to-one environments.
Market check
Salary context
This
$160,900–$257,100
range sits above
70%
of similar postings on FindRole.
Peer median band
$131,000–$225,000
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$144,900–$214,500
Middle half of comparable postings.
Based on 240 comparable postings.*
* 240 is the maximum number of comparable postings sampled.
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
33 open roles
on FindRole.
Listed pay typically runs
$160,900–$257,100
across 33 roles with salary data.