About the team
The Valuation team is focused on all things related to real-estate valuation. The home valuation problem is an unsolved, complicated, impactful spatio-temporal modeling challenge. We strive to empower consumers to make their best housing-related decisions by using pioneering ML techniques to present accurate and explained estimates of home valuations and related metrics. If we cannot find an existing model to fit our needs, we will invent one. The work we do is at the core of Zillow’s mission to empower the consumer and provide them with the tools to make informed decisions.
The Valuation team is behind the Zestimate and Zillow Prize, our million dollar competition to crowd-source ideas that push automated home valuation models further. We recently released our latest model -- Neural Zestimate -- based on our findings from Zillow Prize, and we have many exciting avenues to explore in this direction. Learn more at www.zillow.com/ai-ml.
About the role
Zillow is looking for an Applied Scientist Intern to join the Valuation team. This opportunity involves working with the most sought-out content on the Zillow site including the Zestimate, Rent Zestimate, and related products. These products are essential to the company’s mission to create the largest, most-trusted, and vibrant home-related market in the world. Additionally, valuation-derived data and tools are foundational to new products and the company’s growth plans.
As an Applied Scientist Intern on the Valuation Team, you will have the opportunity to:
Efficiently collect and wrangle data in complex formats from diverse sources to derive new insights around home valuation
Develop and implement experiments with a focus on improving business-specific metrics
Work closely with other applied scientists, engineers and product managers to implement end-to-end ML solutions.
Communicate models, analyses and findings clearly to technical and non-technical audiences
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. Employees may live in any of the 50 US States, with limited exceptions. In certain cases, an employee in a remote-designated job may need to live in a specific region or time zone to support customers or clients as part of their role.In Colorado, Connecticut, Nevada and New York City the standard base pay range for this role is $94,000.00 - $140,000.00 Annually. This base pay range is specific to Colorado, Connecticut, Nevada and New York City 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
In the process of completing a Master’s or PhD in Applied Mathematics, Statistics, Computer Science, Machine Learning, Data Science, Economics, Real Estate or a related field with an anticipated graduation date between December 2023 - July 2024
Inclined to approach problems through a statistical perspective and with the ability to reason about uncertainty and data distributions. You let the problem define your choice of models, tools and approach to experimentation.
Deep knowledge of at least one popular programming language (Python preferred) and suite of associated machine learning tools. e.g. Python and packages such as Numpy, Pandas, PyTorch, Scikit-learn, SciPy, and/or TensorFlow
Passionate about learning new business domains, solving problems and presenting to and communicating with non-technical audiences
Any experience with the above within a real estate context is a plus
Get to know us
Zillow is reimagining real estate to make it easier to unlock life’s next chapter.
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 is helping people move from dreaming to transacting — and no matter what job you're in, you will play a critical role in making this vision a reality.
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. 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 in 2022 list, Glassdoor Employees’ Choice Award, honoring the Best Places to Work in 2022, Bloomberg Gender-Equality Index 2022, Human Rights Campaign (HRC) Corporate Equity Index and Best Place to Work for LGBTQ Equality 2022, 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 us at RecruitingAccessibility@zillowgroup.com.
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.