[Hiring] Senior Machine Learning Engineer @Zillow

Role Description

As a Senior Machine Learning Engineer, you will have a direct impact on how Zillow captures, processes, and delivers rich media content for property listings. You’ll work with a talented team to build and optimize computer vision and machine learning systems that power immersive 3D tours and accurate floor plans, helping millions of users explore homes in new ways.

• 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.

Qualifications

• 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.

Requirements

• This role has been categorized as a Remote position. “Remote” employees do not have a permanent corporate office workplace and, instead, work from a physical location of their choice, which must be identified to the Company. U.S. employees may live in any of the 50 United States, with limited exceptions.
• 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.
• In Colorado, Hawaii, Illinois, Minnesota, Nevada, Ohio, Rhode Island, and Vermont the standard base pay range for this role is $163,200.00 - $260,600.00 annually.
• In addition to a competitive base salary this position is also eligible for equity awards based on factors such as experience, performance and location.
• Employees in this role will not be paid below the salary threshold for exempt employees in the state where they reside.

Benefits

• Zillow is honored to be recognized among the best workplaces in the country.
• Zillow was named one of FORTUNE 100 Best Companies to Work For® in 2025.
• Included on the PEOPLE Companies That Care® 2025 list, reflecting our commitment to creating an innovative, inclusive, and engaging culture where employees are empowered to grow.