Zillow

Senior Machine Learning Engineer, Rich Media Experiences

Remote-USA · Senior

Sponsorship not specified$172k-$274kDetected 27 days ago

PythonCode ReviewMachine LearningPyTorchData EngineeringComputer VisionA/B TestingCustomer SupportAR/VRCommunication

About the role

This is a high-impact senior individual contributor role for someone who loves operating at the intersection of modeling and systems.
As a Senior Machine Learning Engineer within Zillow's Rich Media Experiences team, you'll join a group focused on helping people better understand homes through immersive, AI-powered experiences.
The team works on turning photos, video, and spatial signals into structured representations that power customer-facing products used by millions of shoppers.

These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation.
You collaborate effectively with applied scientists, software engineers, and product partners in ambiguous, cross-functional settings.

You are comfortable debugging model and system behavior in real-world environments and using metrics, logs, and experiments to improve outcomes.
You have strong engineering judgment and know how to balance experimentation with reliability, speed, and long-term maintainability.
We encourage you to apply if you have transferable skills or related experiences.

In California, Connecticut, Maryland, Massachusetts, New Jersey, New York, Washington state, and Washington DC the standard base pay range for this role is $171,700.00 - $274,300.00 annually.
The base pay range is specific to these locations and may not be applicable to other locations.

Design, build, and operate production-grade machine learning systems that move from early ideas and prototypes into reliable customer-facing services.
Lead end-to-end machine learning work spanning data, training, evaluation, deployment, observability, and iteration in production.
Partner closely with applied scientists and software engineers across backend, web, and mobile to integrate modern machine learning techniques into Zillow experiences.
Improve the quality, latency, reliability, and maintainability of machine learning workflows that support floor plan and rich media products.
Drive technical decisions in ambiguous problem spaces, especially where structured inference, computer vision, spatial signals, or performance tradeoffs matter.
Help establish shared patterns, tooling, and best practices that raise the bar for machine learning engineering across the team.
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, model 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.

Within Rich Media Experiences, the Instant Floor Plans team is building systems that transform sensor-rich mobile captures into accurate floor plans and 3D representations that feed Zillow's rich-media and listing experiences.

al employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status

This listing is sourced directly from Zillow's careers page and normalized into a canonical job model.