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 • Home Values • Mortgages • Homes for Sale • Homes for Rent
February 18
🏄 California – Remote
⛰️ Colorado – Remote
+9 more states
💵 $158.2k - $252.8k / year
⏰ Full Time
🟠 Senior
🤖 AI Engineer
🦅 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 • Home Values • Mortgages • Homes for Sale • Homes for Rent
• Craft and build scalable infrastructure for orchestrating end to end machine learning lifecycle from experimentation phase to production jobs & services • Work with a variety of technologies such as Kubernetes, KNative, Argo, Spark, Kafka, Tensorflow etc. • Collaborate with Applied Scientists, Machine Learning Engineers and cross functional teams in crafting and implementing your technical vision • Work closely with our data infrastructure team to build the data systems and stores that power ML models • Collaborate with various teams (Product, Engineering) to scope and deliver platform solutions
• A degree (BS+) in Computer Science or a related field • 4+ years of experience with Machine Learning, data and/or backend web services & infrastructure • 1+ years of experience with platform solutions • Experience working with cloud services (AWS/Azure/GCP) • Excellent interpersonal skills and passionate about collaborating across organizational boundaries • Have vision and passion to make Machine Learning development easier for ML Practitioners (Nice to haves) • Experience developing sophisticated software systems scaling to millions of users with production quality deployment, monitoring and reliability (Nice to haves) • Experience with Databricks (for data and/or ML use cases) (Nice to haves) • Experience with building low latency, high reliability Web Services (K8s, KNative services) (Nice to haves) • Experience with Machine Learning Frameworks (e.g. PyTorch, Keras, Tensorflow, XGBoost) (Nice to haves) • Experience with modern data technologies (Spark, Hive, Kafka, Beam, Airflow) (Nice to haves)
• Comprehensive medical, dental, vision, life, and disability coverages • Parental leave • Family benefits • Retirement contributions • Paid time off
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