Machine Learning Engineer, Zestimates - Intern in Seattle

Machine Learning Engineer, Zestimates - Intern
Zillow Group
Seattle WA USA

Job Details

Updated on 2019-08-19

About the team

Join a growing, world-class artificial intelligence group that is dedicated to excellence and is passionate about our products.
The Zestimate team is focused on all things related to real-estate valuation, the team behind Zillow Prize, our million dollar competition to crowdsource ideas that push automated home valuation models further. 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.
You will work very closely with our Applied Scientists and Machine Learning Engineers. Not only you’ll be exposed to cutting edge research and models such as Random Forest, Deep Neural Networks etc, you will be creating highly scalable distributed systems and services to generate Zestimates in the cloud.

About Zillow AI:
The mission of the Zillow AI division is to create unique content and features powered by sophisticated analytics and machine learning technologies atop our unparalleled living database of all homes and hundreds of millions of customers.

We're a fast-moving, developer-driven organization full of brilliant and ambitious people. Zillow product development is highly decentralized in order to create the small team speed and autonomy of a start-up environment while backed by big company resources.

We are responsible for building distributed, big data, machine-learning applications in the cloud. These consumer-facing products power Zillow’s industry-leading online marketplace and puts the team and this role at the core of Zillow’s mission to empower the consumer.

Learn more about what we are doing at https://www.zillow.com/data-science.

About the role

The Zillow AI Zestimate team is hiring a Machine Learning Engineering Intern. This is a high-impact role as the Zestimate, Rent Zestimate and related products are some of the most sought-after content on the Zillow site and are critical to the company’s mission to create the largest, most-trusted, and vibrant home-related market in the world.

  • Code highly scalable, machine learning applications -- both pipelines and services processing large volumes of data.

  • Participate in the entire development lifecycle, from concept to release.

  • Collaborate with other engineers and applied scientists in designing and implementing your technical design.

  • Explore big data and machine learning techniques, and play with all the data you can get your hands on.

  • Follow agile processes with a focus on delivering production-ready testable code in small iterations.

  • Use a wide range of cloud based technologies

  • Participate in monitoring the quality and health of your system.

Who you are

  • In the process of completing an MS or PhD in (Computer Science or related field)

  • Can write high quality code in Python or Java and apply software engineering best practices such as documentation, unit/integration testing.

  • Comfortable with version control such as Git.

  • Familiar with distributed computing frameworks, such as Spark or Hadoop.

  • Familiar with key machine learning concepts, models, and evaluation methodologies.

  • Able to quickly learn and contribute in a fast-paced working environment.

  • Are a team player, sharing knowledge and seeking feedback where necessary.

Get to know us

Zillow Group houses a portfolio of the largest and most vibrant real estate and home-related brands on the web and mobile. Our mission is to build the largest, most trusted and vibrant home-related marketplace in the world.

Zillow Group is owned, fueled and grown by innovators who help people make better, smarter decisions around all things home. We encourage one another at every level, and our efforts are supported by employee-driven, world-class benefits that enable us to enjoy our lives outside the office while building fulfilling careers that impact millions of individuals every day.

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.

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