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Zillow

Senior Machine Learning Engineer, Rich Media AI

Posted Yesterday
Remote
Hiring Remotely in USA
163K-274K Annually
Senior level
Remote
Hiring Remotely in USA
163K-274K Annually
Senior level
As a Senior Machine Learning Engineer, you'll design and deploy ML models for real estate media while collaborating across teams to optimize solutions and improve user experience.
The summary above was generated by AI

About the teamThe Rich Media AI group is part of Zillow’s AI organization and plays a key role in transforming the real estate experience. Our team develops innovative technologies—like 360° tours, floor plans, and aerial overviews—that help movers get an immersive sense of a home online. We collaborate across disciplines to create the next generation of home shopping experiences, making it easier for everyone to envision their future home.

About the role

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.

You Will Get To:

  • 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.

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. This base pay range is specific to these locations and may not be applicable to other locations. 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. The base pay range is specific to these locations and may not be applicable to other locations.

In addition to a competitive base salary this position is also eligible for equity awards based on factors such as experience, performance and location. Actual amounts will vary depending on 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.

Who you are
  • 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.

  • Here at Zillow, we value the experience and perspective of candidates with non-traditional backgrounds. We encourage you to apply if you have transferable skills or related experiences.

Get to know us

At Zillow, we’re reimagining how people move—through the real estate market and through their careers. As the most-visited real estate platform in the U.S., we help customers navigate buying, selling, financing and renting with greater ease and confidence. Whether you're working in tech, sales, operations, or design, you’ll be part of a company that's reshaping an industry and helping more people make home a reality.

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, and 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.

No matter where you sit in the organization, your work will help drive innovation, support our customers, and move the industry—and your career—forward, together.

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. If you have a disability or special need that requires accommodation, please contact your recruiter directly.

Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable state and local law.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. 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. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Top Skills

AWS
Azure
C++
GCP
Java
Python
PyTorch
Scala
TensorFlow

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