Zillow is a leading real estate and property rental marketplace that provides comprehensive information on homes, apartments, and properties for sale or rent. It offers users tools to search for properties, calculate mortgage rates, and connect with real estate agents. The platform also features innovative algorithms that provide Zestimates, which are estimated market values of homes. Zillow is a go-to resource for individuals looking to buy, sell, or rent properties, as well as for agents and brokers who want to reach a wider audience.
Real Estate β’ Home Values β’ Mortgages β’ Homes for Sale β’ Homes for Rent
5001 - 10000 employees
Founded 2006
π Real Estate
ποΈ eCommerce
π₯ B2C
π° $4.1M Post-IPO Equity on 2012-12
March 10
π California β Remote
β°οΈ Colorado β Remote
+9 more states
π΅ $168.6k - $269.4k / year
β° Full Time
π Senior
π€ Machine Learning Engineer
π¦ H1B Visa Sponsor
Zillow is a leading real estate and property rental marketplace that provides comprehensive information on homes, apartments, and properties for sale or rent. It offers users tools to search for properties, calculate mortgage rates, and connect with real estate agents. The platform also features innovative algorithms that provide Zestimates, which are estimated market values of homes. Zillow is a go-to resource for individuals looking to buy, sell, or rent properties, as well as for agents and brokers who want to reach a wider audience.
Real Estate β’ Home Values β’ Mortgages β’ Homes for Sale β’ Homes for Rent
5001 - 10000 employees
Founded 2006
π Real Estate
ποΈ eCommerce
π₯ B2C
π° $4.1M Post-IPO Equity on 2012-12
β’ Partner with a skilled group of applied scientists and engineers to develop machine learning applications. β’ Lead efforts to deploy machine learning applications into production. β’ Cultivate connections with other teams for critical dependencies and infrastructure. β’ Contribute to rapid innovation and creative frugality within the team.
β’ Proficiency with a high-level programming language (we most commonly use Python and PySpark) β’ Strong understanding of Machine Learning and Natural Language Processing fundamentals β’ Experience with Machine Learning tools and Frameworks (e.g. PyTorch, Transformers, XGBoost, scikit-learn, etc.) β’ Hands-on experience with cloud computing platforms such as AWS β’ Strong understanding of software design patterns, principles, architecture, and operations β’ Comfortable in a small team/fast-paced environment β’ Experience prototyping, developing, and implementing algorithmic solutions and new technologies with diverse analytics and data. β’ Experience working with large scale datasets and building ETL pipelines using Spark, Kubeflow, and DataBricks. β’ Practiced technical ability and passion for both owning implementation and contributing technical/thought leadership for a team of world-class scientists engineers. β’ Bachelor's degree or equivalent experience in Computer Science, or a related field. β’ Bonus Qualifications: Experience with generative AI or large language models and related technologies (knowledge retrieval solutions, for example). β’ Experience with regulated, private or sensitive data, document understanding, bandit algorithms, or reinforcement learning. β’ Experience collaborating with science, engineering, design, research and product partners in a team with a startup culture. β’ Advanced degree (M.S. or Ph. D.) or equivalent experience in Computer Science or Engineering, Machine Learning, or related field.
β’ Comprehensive medical, dental, vision, life, and disability coverages β’ Parental leave β’ Family benefits β’ Retirement contributions β’ Paid time off
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