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About the team

Are you interested in innovating new computer vision and deep learning technologies to power immersive experiences that change how people experience and envision their next home? Zillow’s Rich Media Experiences (RMX) team employs computer vision, 3D, and deep learning to invent the technology that enables Zillow's customers to make sense of home information in order to find their dream home. Using groundbreaking technologies, our team works across product, research, engineering, and business to enable people to virtually walk through a home. You'll have the chance to be a part of empowering the next-generation of home shopping by creating new state-of-the-art technologies that deliver unrivaled information and visual experiences to our customers.

About the role

The RMX team is looking for a Machine Learning Engineer to help us advance Zillow's mission by developing outstanding and highly engaging user experiences. The team is staffed with researchers, engineers, and designers building spatial understanding algorithms and deep learning models that power immersive media experiences for buyers and renters.

As a Machine Learning Engineer, you will help build computer vision systems for semantic understanding of large quantities of visual information from homes. You will implement and deploy models for understanding home contents, semantic segmentation, 3D geometry prediction, and feature extraction. Our solutions ingest large volumes of data (imagery and metadata), and process it to build the exciting and immersive experiences that can be explored on zillow.com.

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, the standard pay range for this role is $157,900.00 - $252,200.00 Annually. This range is specific to Colorado and may not be applicable to other locations.

Who you are

You are a roll-up-the-sleeves and get-it-done engineer with good machine learning fundamentals. We are looking for someone who has:

  • A degree (BS+) in Computer Science or a related field. Master's degree is a plus.

  • 5+ years or equivalent in building products based on machine learning.

  • Experience working with AWS or other cloud platforms.

  • A deep understanding of common families of models, feature engineering, feature selection, and other practical machine learning techniques.

  • Proficiency with a high-level programming language (Python is preferred)

  • Experience constructing data sets and training deep neural network models in frameworks like Tensorflow and PyTorch

  • A background in computer vision, 3D computer graphics, game development, or CAD tools is a plus.

  • The communication skills to work collaboratively with other engineers and scientists to prototype, develop, and implement new technologies

  • The tenacity to embrace and tackle ambitious problems

  • 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. 

In addition to a competitive base salary this position is also eligible for equity awards based on factors such as experience, performance and location.

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 offer customers an on-demand experience for selling, buying, renting or financing with transparency and nearly seamless end-to-end service. Millions of people visit Zillow and its affiliate sites every month to start their home search, and now they can rely on Zillow to help them finish it — and no matter what job you're in, you will play a critical role in making this vision a reality.

At Zillow, we're powered by our innovative and inclusive work culture, where everyone has the flexibility, support and resources to do the best work of their careers. Our efforts to streamline the real estate transaction is supported by our passion to redefine the employee experience, a deep-rooted culture of innovation, a fundamental commitment to Equity and Belonging, and world-class benefits. But don't just take our word for it. Read our reviews on Glassdoor and recent recognition from multiple organizations, including: Fortune’s 100 Best Companies to Work For® List 2021 Bloomberg Gender-Equality Index 2021, Human Rights Campaign (HRC) Corporate Equity Index and HRC’s Best Place to Work for LGBTQ Equality 2021, Fortune Best Workplaces for Technology 2020, Fortune Best Workplaces for Millennials 2020, Fortune Best Workplaces for Parents 2020, and the Deloitte Technology Fast 500.

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.

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Zillow's mission is to give people the power to unlock life's next chapter.
Today, the millions of people who rely on Zillow to start their home search can now rely on Zillow and its affiliates to help them finish it — with the same transparency, reliability and confidence they’ve come to expect from real estate’s most trusted brand. We are early in this expansion, but we are well on our way.