Machine Learning Engineer

November 6

🏄 California – Remote

Although this job is listed in California, this company may be open to hiring remote in other states.

🦌 Connecticut – Remote

Although this job is listed in Connecticut, this company may be open to hiring remote in other states.

+5 more states

🏄 California – Remote 🦌 Connecticut – Remote 🏖️ New Jersey – Remote 🗽 New York – Remote 🦀 Maryland – Remote 🍂 Massachusetts – Remote ☕ Washington – Remote

💵 $145.5k - $232.5k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

🦅 H1B Visa Sponsor

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Zillow

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Real Estate • eCommerce • B2C

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.

5001 - 10000 employees

Founded 2006

🏠 Real Estate

🛍️ eCommerce

👥 B2C

💰 $4.1M Post-IPO Equity on 2012-12

📋 Description

• Collaborate closely with applied scientists, engineering, design and research to understand, scope, design, prototype, implement and iterate on internal and external facing systems supporting and implementing next generation AI applications. • Shepherd the deployment of machine learning applications into production with an eye towards reliability. • Cultivate connections with other teams for critical dependencies and infrastructure. • Contribute to carrying and growing our team culture of rapid innovation and creative frugality.

🎯 Requirements

• Proficiency with a high-level programming language (we most commonly use Python) • Practical knowledge of statistics (for example, causal inference, Frequentist or Bayesian inference) • The communication skills to influence, collaborate with, and educate others • Experience prototyping, developing, and implementing algorithmic solutions and new technologies • Hands-on experience in deploying machine learning models into realtime production environments • Experience working with large scale datasets and building ETL pipelines using Spark, Kubeflow, and DataBricks • Strong understanding of Machine Learning and Natural Language Processing fundamentals • Experience with Machine Learning tools and Frameworks (e.g. PyTorch, Transformers, XGBoost, scikit-learn, etc.) • The tenacity to embrace and tackle challenging problems. • Practiced technical ability and passion for both owning implementation and contributing technical/thought leadership for a team of world-class scientists engineers. • Bachelor's degree or equivalent experience in Computer Science, or a related field.

🏖️ Benefits

• Competitive base salary • Equity awards based on factors such as experience, performance and location