<h2>About the team</h2>As the engine behind Zillow Groups 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 Zillows core user experience, including personalized ranking &amp; 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.<h2>About the role</h2>You Will Get To:<ul><li>Research, design, and prototype new machine learning models that will power core product features on the Zillow app, website, and email/push notifications.</li><li>Contribute to the next generation of our home ranking and recommendation systems by developing and testing novel modeling approaches.</li><li>Own the full lifecycle of your models, from offline experimentation and prototyping with massive datasets to online deployment, A/B testing, and performance monitoring.</li><li>Pioneer the application of cutting-edge deep learning and large language models (LLMs) to improve our home shopping experience.</li><li>Design and validate new AI approaches 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.</li><li>Collaborate in a cross-functional group of engineers, applied scientists, product managers, and designers to define, execute, and iterate on team projects.  </li></ul>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 $136,300.00 - $217,700.00 annually. This base pay range is specific to these locations and may not be applicable to other locations.&amp;#xa;&amp;#xa;In Colorado, Hawaii, Illinois, Minnesota, Nevada, Ohio, Rhode Island, and Vermont the standard base pay range for this role is $129,500.00 - $206,900.00 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.<h2>Who you are</h2>Must Have:<ul><li>A Masters degree in Computer Science, Artificial Intelligence, or a related field</li><li>2+ years of experience in an applied science, data science, or research role working on search, personalized ranking, recommender systems, or a related field.</li><li>Demonstrated experience designing, training, and analyzing machine learning models to solve business problems.</li><li>Strong programming skills in a high-level language such as Python for data analysis and modeling.</li><li>Familiarity with common machine learning libraries like PyTorch, TensorFlow, Catboost, scikit-learn and huggingface (repository)</li><li>Experience with large scale distributed data processing systems such as Hive, Spark, Airflow, or Databricks</li><li>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</li><li>Experience with the scientific lifecycle, from formulating a hypothesis and designing experiments to analyzing results and communicating findings.</li><li>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 </li></ul> Preferred:<ul><li>A Ph.D. in Computer Science, Artificial Intelligence, or a related field</li><li>Demonstrated track record of publications and/or patents in Computer Science, Machine Learning, or a related field.</li><li>Prior experience or high level of curiosity with generative AI and excitement to collaborate on what they’ve learned!  </li></ul><h2>Get to know us</h2>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 youre 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 <a href="https://www.zillow.com/careers/benefits/" target="_blank">world-class benefits</a>. 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 <a href="https://www.glassdoor.com/Overview/Working-at-Zillow-EI_IE40802.11,17.htm" target="_blank">Glassdoor</a> 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 <a href="http://time.com/100companies" target="_blank">100 Most Influential Companies</a> 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.