Manager, Machine Learning Engineering - Mortgage Operations AI

Sorry, this job was removed at 07:02 p.m. (CST) on Monday, Jun 23, 2025
Hiring Remotely in USA
Remote
182K-291K Annually
Other • Real Estate • PropTech
The Role

About the teamAt Zillow, our mission is to give people the power to unlock life’s next chapter. Zillow’s Artificial Intelligence Org plays an important part in delivering unique AI-powered experiences for the hundreds of millions of customers who visit Zillow websites each month.
The Mortgage Operations AI team will be leading the efforts to streamline the loan production process, enable a fully digital financing experience, and provide consistent, unbiased, and personalized loan recommendations. It will make the home-buying process less daunting and more manageable while allowing Zillow to scale its mortgage business and help Loan Officers build great relationships by providing buyers the best loan product that works for them.

About the role

Zillow is looking for an experienced leader to help us transform the home financing process. As manager of the Mortgage Operations AI team, you’ll lead a skilled team of applied scientists, software developers, and machine learning engineers working together toward achieving significant impact. You’ll need to bring your curiosity and willingness to work through ambiguity as we introduce AI and ML to a complex domain.

You Will Get To

  • Lead and develop a team of machine learning scientists and engineers
  • Become an expert in the home financing/mortgage origination process from end to end
  • Partner closely with ZHL’s and AI product leaders on the vision, strategy, prioritization, and execution for our “mortgage factory”
  • Contribute to the long-term vision for AI and Machine Learning in Zillow Home Loans
  • Collaborate with principal scientists and engineers to design and implement solutions to achieve shared technical vision.
  • Foster a culture of innovation and collaboration in the team while maintaining high standards for quality and accountability
     

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, Colorado, Connecticut, Hawaii, Maryland, Massachusetts, Nevada, New Jersey, New York, Vermont, Washington state, and Washington DC the standard base pay range for this role is $182,100.00 - $290,900.00 Annually. This base pay range is specific to California, Colorado, Connecticut, Hawaii, Maryland, Massachusetts, Nevada, New Jersey, New York, Vermont, Washington state, and Washington DC 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.

Who you are

We are looking for a candidate with a strong background in Machine Learning and experience designing, scaling, and evolving sophisticated AI and ML systems. The candidate should have:

  • Strong understanding of Machine Learning and Natural Language Processing fundamentals
  • Experience with Machine Learning tools and Frameworks (e.g., PyTorch, Transformers, XGBoost, scikit-learn, etc.)
  • 1+ years of management experience.
  • 5+ years of experience prototyping and delivering Machine Learning products
  • Vision and passion for AI and Machine Learning use cases and applications
  • Excellent communication skills and a strong passion for collaboration across organizational boundaries.
  • Passionate about supporting the growth and development of their team’s careers.
  • A graduate degree in CS, Statistics, Applied Math, or related STEM field, or equivalent experience in an applied research setting

Bonus Qualifications:

  • Experience with generative AI or large language models and related technologies (knowledge retrieval solutions, for example).
  • Experience collaborating with science, engineering, design, research, and product partners in a team environment.
  • Experience working in a regulated financial space or in FinTech is a plus
  • Publications in Machine Learning or AI-related journals and conferences
  • Doctoral-level degree in a STEM-related field
     

Get to know us

Zillow is reimagining real estate to make home a reality for more and more people.

As the most-visited real estate website in the United States, Zillow® and its affiliates help movers find and win their home through digital solutions, first class partners, and easier buying, selling, financing and renting experiences. Millions of people visit Zillow Group sites every month to start their home search, and now they can rely on Zillow to help make it easier to move. The work we do helps people get home and no matter what job you're in, you will play a critical role in making home a reality for more and more people.

Our efforts to streamline the real estate transaction are supported by a deep-rooted culture of innovation, our passion to redefine the employee experience, a fundamental commitment to Equity and Belonging, and world-class benefits. These benefits include comprehensive medical, dental, vision, life, and disability coverages as well as parental leave, family benefits, retirement contributions, and paid time off. We’re also setting the standard for work experiences of the future, where our employees are supported in doing their best work and living a flexible, well-balanced life. But don’t just take our word for it. Read recent reviews on Glassdoor and recent recognition from multiple organizations, including: the 100 Best Companies to Work For, Glassdoor Employees’ Choice Award, Bloomberg Gender-Equality Index, Human Rights Campaign (HRC) Corporate Equity Index, and TIME 100 Most Influential Companies list.

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.

Applicants who receive job offers from Zillow Group will be asked to sign a Proprietary Rights Agreement which includes confidentiality, intellectual property assignment, customer and employee non-solicitation, and non-competition provisions. If you are contacted for a role at Zillow Group and wish to review a copy of the Proprietary Rights Agreement prior to receiving an offer, you may request a copy from your Recruiter.

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The Company
HQ: Seattle, WA
7,863 Employees
Year Founded: 2006

What We Do

Join our mission to give the people power to unlock life’s next chapter.

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 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. People are more likely to search for “Zillow” than “real estate,” and our name is often used as a verb.

While other industries have ushered in a new era of convenience, the time for seamless and convenient real estate experience is now. This is our next chapter as a company.

We’re looking for smart, passionate adventurers to join us as we reimagine the real estate transaction and change the way people buy, sell, rent and finance their homes.

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