Senior Machine Learning Software Engineer, Zillow Offers Credit & Capital at Zillow
Seattle, WA, US

About the team

Zillow Offers seeks to give consumers certainty and control when selling their home. With the Zillow Offers experience, Zillow buys homes directly from interested homeowners, thereby sparing them the tremendous stress and effort of selling. Instead, we take that upon ourselves by quickly preparing these homes for the market and re-selling them. This is a key initiative at Zillow as we seek to reinvent real estate transactions.


Buying and selling homes is a capital intensive operation. We are responsible for building a technology platform to enable us to efficiently access, manage, and optimize our use of capital. Come join us as we leverage operational research and machine learning to introduce automated decision making and portfolio balancing.

About the role

Zillow embraces daunting challenges like this one, and that's why we are looking for a Senior Machine Learning Engineer to help lead our success. Zillow Offers is still in very early stages, so come seize this rare opportunity to make a significant impact. You will be joining a passionate team of developers who are building Zillow into the biggest real-estate marketplace online. We believe in autonomy and moving fast, so self-motivation and the energy to blaze trails is a must-have for this role.


As a Senior member of this team you will:


Lead the design, architecture and implementation of new machine learning and operational research models.

Iterate quickly and ship code frequently.

Work as a part of a team to define the long term technology vision.

Set best practices influencing not only the team, but the entire Zillow Organization.

Research and pioneer the adoption and use of new technologies within Zillow.

Be willing to apply your experience to problems at every level of the tech stack.

Champion operational excellence with a dedication to outstanding, reliable, and easy to maintain product.

Who you are

Bachelors or Master’s degree in Computer Science or related field.

At least five years of full-time experience and very high proficiency programming in Python, JavaScript, Java, C#, or Ruby.

Experience building, validating, and operating machine learning models.

Expertise building and scaling resilient backend services.

Dedication to software quality and operational excellence.

Strong engineering judgement, enabled by depth and breadth of knowledge and experience.

Collaborative working style with a strong focus on execution and results.

Curious about new technologies and possess a growth mentality.

Iterative approach to software development combined with the dedication to move fast and think big.

Experience with AWS, GraphQL, Machine Learning, and/or Mixed Integer Programming a plus.

Get to know us

Zillow is the leading real estate and rental marketplace dedicated to empowering consumers with data, inspiration and knowledge around the place they call home, and connecting them with the best local professionals who can help. Zillow is part of Zillow Group, whose mission is to build the largest, most trusted and vibrant home-related marketplace in the world.

At Zillow Group, we're powered by our inclusive work culture, where everyone has the 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 empower people and enrich lives around everything home, 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 100 Best Companies to Work For (#69), Fortune Best Workplaces for Diversity (#38), Fortune Best Workplaces for Parents (#31), Fortune Best Workplaces for Women (#20), Fatherly's Best Workplaces for New Dads (#37), JUST Capital 100 Company (#69), Bloomberg Gender Equality Index constituent.


Zillow Group is an equal opportunity employer committed to fostering an inclusive, innovative environment with the best employees. Therefore, we provide employment opportunities without regard to age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. If there are preparations we can make to help ensure you have a comfortable and positive interview experience, please let us know.