HimalayasHimalayas logo
Zillow GroupZG

Senior Machine Learning Engineer, Shopping AI

Zillow Group is a tech-driven real estate marketplace that operates a portfolio of brands including Zillow, Trulia, StreetEasy, and HotPads, empowering millions with data, tools, and services to navigate renting, buying, selling, and financing homes.

Zillow Group

Salary: 163k-274k USD

United States only

Stay safe on Himalayas

Never send money to companies. Jobs on Himalayas will never require payment from applicants.

About the team

As the engine behind Zillow Group's mission to build a seamless digital real estate marketplace, the Shopping AI team is fundamentally redefining how millions of people discover and shop for homes. Our team of engineers and scientists builds and owns the production machine learning systems that power Zillow's core user experience, including personalized ranking & recommendations, semantic search, autocomplete, and display optimization. Working closely with product and design, we apply the latest advancements in AI to solve unique, large-scale challenges. As we look forward, we are tackling the next generation of questions, including how generative AI can unlock intuitive, personalized experiences for every home shopper.

About the role

You Will Get To:

  • Design, build, and ship production new machine learning models that power core product features on the Zillow app, website, and email/push notifications.

  • Re-architect our core home ranking and recommendation systems to support advanced neural networks and dramatically accelerate the pace of experimentation across surfaces.

  • Own the full lifecycle of your models, from offline experimentation and prototyping with massive datasets to online deployment, A/B testing, and performance monitoring.

  • Pioneer the application of cutting-edge deep learning and large language models (LLMs) to improve our home shopping experience.

  • Develop new AI components that optimize how we display and when we recommend homes, ensuring we connect shoppers with the right content on the right properties at the right time.

  • Collaborate in a cross-functional group of engineers, applied scientists, product managers, and designers to define, execute, and iterate on the team's strategic roadmap.

  • Contribute to the team's engineering excellence by improving our machine learning infrastructure, development standards, and shared tooling.

  • Act as a key technical voice, mentoring other engineers and helping to shape the long-term vision for artificial intelligence in the home shopping experience.

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

Must Have:

  • 3-5 years of experience in developing applications in search, personalized ranking, or recommender systems

  • Experience developing and deploying ML models that scale to high-traffic, latency sensitive customer-facing services (100s of millions of requests per day)

  • Strong programming skills in a high-level language such as Python or Java

  • Familiarity with common machine learning libraries like PyTorch, TensorFlow, Catboost, scikit-learn and huggingface (repository)

  • Expertise with large scale distributed data processing systems such as Hive, Spark, Airflow, or Databricks

  • Experience owning the full lifecycle of customer facing machine learning models, from offline experimentation and prototyping to online deployment, A/B testing, and performance monitoring

  • 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

Preferred:

  • A Master's degree + 3 yrs or BS with a minimum of 5 yrs of experience (preferably in large consumer tech companies)

  • Prior experience or high level of curiosity with generative AI and excitement to collaborate on what they’ve learned!

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® 2025list, 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.

About the job

Apply before

Posted on

Job type

Full Time

Experience level

Salary

Salary: 163k-274k USD

Location requirements

Hiring timezones

United States +/- 0 hours

About Zillow Group

Learn more about Zillow Group and their company culture.

View company profile

Zillow Group's story began in 2004 when co-founders Rich Barton and Lloyd Frink, former Microsoft executives, assembled a team with a revolutionary vision: to transform how people search for and shop for homes. They saw an opportunity to empower consumers with unprecedented access to housing information that had traditionally been locked away in industry silos. When Zillow.com launched in February 2006, it attracted over a million visitors in just three days - overwhelming the servers and validating the immense public hunger for real estate transparency.

The company's breakthrough innovation was the Zestimate, a proprietary home valuation algorithm that turned Zillow into a household name. This was phase one: bringing radical transparency to home values and listings. But the founders recognized that accessing information was only half the battle - the actual transaction process remained frustratingly fragmented and offline. Today, Zillow Group is in phase two of its evolution, building a seamless end-to-end transaction experience. The company has expanded through strategic acquisitions like Trulia, StreetEasy, HotPads, ShowingTime, and Follow Up Boss, creating an integrated ecosystem that serves renters, buyers, sellers, and real estate professionals across the entire housing lifecycle.

Employee benefits

Learn about the employee benefits and perks provided at Zillow Group.

View benefits

Gym Allowance

Financial support for gym memberships and wellness activities.

Zillow for Good Donation Matching

Program that matches employee donations to support charitable causes.

Home Office Budget

Reimbursement for home office setup and equipment to support remote work.

Learning & Development

Opportunities for professional growth, training, and skill development to advance careers.

View Zillow Group's employee benefits
Claim this profileZillow Group logoZG

Zillow Group

Founded in

2006

Chief executive officer

Jeremy Wacksman

Employees live in

View company profile

Similar remote jobs

Here are other jobs you might want to apply for.

View all remote jobs

11 remote jobs at Zillow Group

Explore the variety of open remote roles at Zillow Group, offering flexible work options across multiple disciplines and skill levels.

View all jobs at Zillow Group

Find your dream job

Sign up now and join over 100,000 remote workers who receive personalized job alerts, curated job matches, and more for free!

Sign up
Himalayas profile for an example user named Frankie Sullivan