Senior Applied Scientist, Rich Media Experiences

About the teamThe Zillow Rich Media (RMX) team is transforming how people experience virtual home tours by building immersive, next-generation features that leverage mobile devices, machine learning, and computer vision. We collaborate across product, research, and engineering to develop innovative ways to capture, process, and present rich media, turning real-world signals into structured, interactive representations of homes within Zillow’s products.

About the role

As a Senior Applied Scientist, you will tackle complex, real-world challenges that directly shape Zillow’s virtual touring experiences. You’ll have a broad impact by defining and solving ambiguous problems, developing innovative models, and collaborating with cross-functional teams to deliver features that enhance how users explore homes. Your work will drive the next wave of immersive, user-centric experiences at Zillow.

You Will Get To

• Frame and solve complex perception problems using scientific and engineering best practices.

• Collaborate with product, engineering, and design teams to translate user needs into research questions and solutions.

• Design, implement, and iterate on machine learning and computer vision models for structured understanding of spaces.

• Develop robust evaluation pipelines and experiments to measure and improve model performance.

• Integrate models into production systems, ensuring reliability and scalability.

• Monitor and improve deployed models based on real-world data and user feedback.

• Mentor and support team members in modeling, evaluation, and research practices.

• Communicate findings and technical decisions clearly to both technical and non-technical partners.

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 $160,900.00 - $257,100.00 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 $152,900.00 - $244,300.00 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

• 5+ years of experience as an applied or research scientist working on machine learning or computer vision with real-world data.

• Proficiency in Python and at least one deep learning framework (e.g., PyTorch, TensorFlow, or JAX), with a track record of building and deploying models.

• Experience shipping production ML systems, including data pipelines, deployment, monitoring, and iteration.

• Strong understanding of probability, statistics, and experimental design, with the ability to apply these to practical evaluation strategies.

• Demonstrated ability to work with noisy, imperfect datasets and design robust solutions for challenging edge cases.

• Experience with geometry-heavy or spatial understanding problems, or multi-modal/sensor-fusion challenges, is a plus.

• Proven ability to communicate complex technical ideas to both technical and non-technical audiences, and to collaborate effectively in cross-functional teams.

• Prior success in ambiguous, evolving problem spaces or zero-to-one environments is valued.

• Contributions to the broader ML or computer vision community (e.g., publications, patents, open-source) are a plus.

• 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.

• Contributions: https://github.com/zillow/as-research

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.