Remote (Global) Full-time

Zillow Group is hiring a Senior Machine Learning Engineer, Rich Media AI

About the Role

ZHL Zillow Home Loans, LLC is hiring a Senior Machine Learning Engineer to join the Rich Media AI group within Zillow’s AI organization. In this role, you will focus on building and optimizing the computer vision and machine learning systems that power immersive 3D tours and accurate floor plans for real estate listings.

What You'll Do

  • Design, build, and deploy advanced computer vision and machine learning models for real estate imagery and video.
  • Optimize existing ML/CV models and architect deployment pipelines for both mobile (on-device) and backend services.
  • Collaborate with cross-functional teams—including backend, mobile, web, design, product, and ML—to deliver cohesive product experiences.
  • Contribute to the capture and processing of high-quality images, videos, and 3D footage, ensuring efficiency and scalability.
  • Continuously explore and evaluate new technologies and methodologies to drive innovation in real estate photography and media capture.
  • Implement and improve computational photography workflows for reliability and scalability.
  • Profile and optimize system performance to ensure high-quality, efficient solutions.
  • Support a culture of learning and growth within the team.

What We're Looking For

  • Bachelor’s or Master’s degree in Computer Science (or equivalent experience) and 3+ years of professional software development or machine learning experience.
  • Proficient in programming languages such as Python, Java, Scala, or C++, and experienced with ML frameworks like PyTorch or TensorFlow.
  • Hands-on experience with mobile development (Android or iOS) and cloud platforms (AWS, GCP, or Azure).
  • Skilled in performance profiling, optimization, and working in Agile development environments.
  • Experience collaborating with cross-functional teams to deliver impactful product experiences.
  • Familiarity with media capture, processing, and delivery workflows (e.g., high-resolution images, 3D models, panoramic or 360° video).
  • Experience optimizing computer vision algorithms for resource-constrained environments and leveraging advanced device capabilities (e.g., LiDAR, ARKit, low-level sensors) for 3D capture or spatial computing.

Technical Stack

  • Languages: Python, Java, Scala, C++
  • ML Frameworks: PyTorch, TensorFlow
  • Mobile: Android, iOS
  • Cloud: AWS, GCP, Azure

Team & Environment

You'll be part of Zillow’s AI organization, within the Rich Media AI group.

Benefits & Compensation

  • In California, Connecticut, Maryland, Massachusetts, New Jersey, New York, Washington state, and Washington DC: $171,700.00 - $274,300.00 annually.
  • In Colorado, Hawaii, Illinois, Minnesota, Nevada, Ohio, Rhode Island, and Vermont: $163,200.00 - $260,600.00 annually.
  • Eligible for equity awards based on factors such as experience, performance and location.

Work Mode

This is a remote role. U.S. employees may live in any of the 50 United States, with limited exceptions.

Zillow Group is an equal opportunity employer committed to fostering an inclusive, innovative environment with the best employees. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.

Required Skills
PythonPyTorchTensorFlowAWSGCPJavaScalaC++Machine LearningAndroidiOSCloud ComputingSoftware Engineering
Landing international contracts?

Invoice globally with an EU company

GloPay creates an Estonian partnership for you automatically. Your clients get proper invoices, you keep 95% of payments. Setup takes 5 minutes, works in 100+ currencies.

EU-registered company for compliance
Multi-currency invoicing & payments
Expense tracking & tax reports
Money in your bank in 1 business day
Start invoicing free
5% per invoice • No subscriptions
About company
Zillow Group

Zillow Group is at the forefront of revolutionizing the home financing experience as part of its FinTech division, helping reshape how consumers buy, sell, and finance homes. As the most-visited real estate platform in the U.S., they help customers navigate buying, selling, financing and renting with greater ease and confidence.

Visit website
Job Details
Category data
Posted 3 months ago