Logo for Zillow

Applied Scientist

Role overview

Qualifications

  • Master's degree in a quantitative field such as Computer Science, Statistics, Mathematics, Engineering, Data Science, or a related discipline
  • 5+ years of relevant professional experience applying computer vision, statistical analysis, or machine learning to real-world data problems
  • Experience working with large or complex datasets using Python, including the common data/ML libraries or frameworks (PyTorch, SciPy/Numpy, Transformers)
  • Experience collaborating in cross-functional environments to deliver analytical or model-based solutions that influence product, platform, or operational outcomes

Responsibilities

  • Lead the end-to-end development of computer vision and machine learning solutions
  • Develop novel approaches using 3D computer vision and generative AI techniques
  • Partner with product, engineering, and business stakeholders to translate business priorities into clear scientific requirements
  • Communicate technical findings, model performance, and trade-offs to both technical and non-technical audiences

Key facts

Hard skills

Other skills

  • Communication
  • Collaboration

About the company

Zillow logo

Zillow

Real Estate

Join our mission to give the people power to unlock life’s next chapter. We’re looking for smart, passionate people to join our largely distributed workforce as we reimagine the real estate transaction and change the way people buy, sell, rent and finance their homes. Our homes are the heartbeat of our lives, and we believe that finding a home shouldn’t be so hard in today’s always-on world. That’s why we’re reimagining the traditional rules of real estate to make it easier than ever to move from one home to the next. Our journey began nearly 15 years ago with a handful of employees and one big idea: to make it radically easier for people to move. We began by helping people understand and track their homes’ values with the Zestimate, our proprietary algorithm, and then with advanced technology and valuable connections with real estate professionals. Today, Zillow has become a household name; “Zillow” is Googled more frequently than “real estate.” We believe that the time for a seamless and convenient real estate experience is now. This is Zillow’s next chapter.

Company details

Company typeXLarge
IndustryReal Estate
Company size5001 - 10000

Your match analysis

See how your profile stacks up against this role.

We compared the job requirements to your profile to show where you're strong and where you fall short.

Job description

About the team

The Specialist II, Applied Science applies advanced statistical and machine learning techniques to solve moderately complex business problems, improve customer experiences, and strengthen Zillow’s data-driven products and services. In this role, you collaborate with cross-functional partners to design, build, and deploy scalable machine learning models and experiments in the domain of computer vision that translate data and research into measurable impact.

About the role


  • With guidance from your manager, lead the end-to-end development of computer vision and machine learning solutions, from problem framing and data exploration through modeling, evaluation, and iteration.
  • Develop novel approaches using state-of-the-art 3D computer vision and generative AI techniques using both images and video.
  • Partner with product, engineering, and business stakeholders to translate ambiguous business priorities into clear scientific requirements that align with team and company priorities.
  • Design, implement, and analyze experiments to measure the impact of model-driven features and guide data-informed decisions.
  • Build, validate, and maintain production-quality data pipelines, features, and model artifacts that are reliable, reproducible, and aligned with established quality standards.
  • Communicate technical findings, model performance, and trade-offs to both technical and non-technical audiences through clear narratives, visualizations, and recommendations.
  • Monitor model and data quality in production, investigate performance issues, and propose improvements to maintain accuracy, fairness, and stability over time.
  • Share best practices, reusable components, and documentation to help elevate applied science capabilities across the team and mentor less-experienced colleagues informally where appropriate.
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 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

  • Master’s degree in a quantitative field such as Computer Science, Statistics, Mathematics, Engineering, Data Science, or a related discipline.
  • 5+ years of relevant professional experience applying computer vision, statistical analysis, or machine learning to real-world data problems.
  • Experience working with large or complex datasets using Python,  including the common data/ML libraries or frameworks (PyTorch, SciPy/Numpy, Transformers).
  • Experience collaborating in cross-functional environments to deliver analytical or model-based solutions that influence product, platform, or operational outcomes.
  • Expertise in 3D computer vision and generative methods are preferred.

Or an equivalent combination of education and experience.

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 people 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 reshaping an industry and helping more people make home a reality.


How we work is a key part of that transformation. Through Cloud HQ, our strategic approach to distributed work, most employees have the flexibility to work from wherever they’re most productive—enabling us to move fast, stay connected and deliver on our people promise. 


Zillow is honored to be recognized among the best workplaces in the U.S. Zillow was named one of FORTUNE 100 Best Companies to Work For® in 2026, and included on TIME’s America’s Best Companies 2026 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.


For US applicants: 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.


For Canada applicants: Zillow Group is committed to fostering an inclusive, innovative environment and to providing equal employment opportunities. We comply with applicable laws that prohibit discrimination in employment and recruitment.

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

Qualified applicants will be considered for employment in accordance with applicable law.


For Serbia applicants: 

For positions based in Serbia, ShowingTime Serbia, a member of Zillow Group, will be the employing entity for the role. 


Zillow Group is committed to fostering an inclusive, innovative environment and to providing equal employment opportunities. We comply with applicable laws that prohibit discrimination in employment and recruitment.


If you require any support, adjustment or accommodation during the recruitment process, please contact your recruiter directly.


Qualified applicants will be considered in accordance with applicable law.

Apply once. Then go straight to the hiring manager.

After you apply, unlock the direct contact details of the people who actually make the call. A quick follow-up makes you 5x more likely to land an interview.

MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
Unlocked after you apply
·

Applied Scientist Related jobs

Other jobs at Zillow

Premium

Reach out to the hiring manager directly.

Gain access to the contact details of the hiring managers who actually decide, and reach out to network with them directly. That, plus more when you upgrade:

  • Full match report with fit score and gaps
  • Career diagnostics on how recruiters read you
  • Curated company matches and warm intros
  • 48h early access to new roles

Cancel anytime.