Senior Machine Learning Engineer

About the team

At Zillow, we’re on a mission to give people the power to unlock life’s next chapter. We’re creating innovative, connected, and equitable solutions to help people move from dreaming to transacting.

Zillow’s AI Org plays an important part in delivering unique AI-powered experiences for the hundreds of millions of customers that visit Zillow websites each month. As a Senior Machine Learning Engineer on the Agent AI team, you’ll be partnering with a highly skilled group of applied scientists, software developers, and other machine learning engineers working together toward a bold and ambitious goal.

The Transaction AI team at Zillow is focused on making real estate agents, loan officers, and the buyers they are helping have a smoother and more delightful experience. We build end-to-end applications and AI-driven services that help agents and loan officers use their time more efficiently, giving them more insight into how to help each buyer they are interacting with, and by using machine learning tools like Large Language Models to help them communicate more effectively with home buyers.

Learn more about what we are doing at https://www.zillow.com/engineering and https://www.zillow.com/ai

About the role

We are seeking a collaborative, customer-focused, and product-minded engineer and scientist with deep experience with applied machine learning and natural language processing. You are a roll-up-the-sleeves and get-it-done engineer with a deep understanding of, and are constantly learning about, new techniques in modeling, LLM/ML frameworks, and infrastructure. You excel at prototyping new applications and optimizing impact, performance, and efficiency in production.

• Apply a growth-mindset and first principles to ambiguous customer problems to rapidly iterate on novel solutions and ways of working.
• 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.
• Lead efforts to deploy machine learning applications into production.
• Cultivate connections with other teams for critical dependencies and infrastructure.
• Contribute to carrying and growing our team culture of rapid innovation and creative frugality.
   

This role has been categorized as a Remote position. “Remote” employees do not have a permanent corporate office workplace and, instead, work from a physical location of their choice, which must be identified to the Company. U.S. employees may live in any of the 50 United States, with limited exceptions.

In California, Colorado, Connecticut, Hawaii, Maryland, Massachusetts, Nevada, New Jersey, New York, Vermont, Washington state, and Washington DC the standard base pay range for this role is $168,600.00 - $269,400.00 Annually. This base pay range is specific to California, Colorado, Connecticut, Hawaii, Maryland, Massachusetts, Nevada, New Jersey, New York, Vermont, Washington state, and Washington DC and may not be applicable to other locations.

In addition to a competitive base salary this position is also eligible for equity awards based on factors such as experience, performance and location. Actual amounts will vary depending on experience, performance and location.

Who you are

Our ideal candidate would meet the following requirements:

• Experience with building applications using Generative AI or Large Language Models and related technologies
• Hands on experience in deploying LLM and ML applications into production environments
• 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.)
• Hands-on experience with cloud computing platforms such as AWS
• Strong understanding of software design patterns, principles, architecture, and operations
• Experience prototyping, developing, and implementing algorithmic solutions and new technologies with diverse analytics and data.
• Comfortable in a small team/fast-paced environment
• Excellent communication, collaboration, and organizational skills

Nice to have:

• Advanced degree (M.S or Ph.D) or equivalent industry experience in Computer Science, Machine Learning or related fields
• Experience building real-time voice AI based applications
• Experience with regulated, private or sensitive data, bandit algorithms, or reinforcement learning
• Experience working with large scale datasets and building ETL pipelines using Spark, Kubeflow
• Experience collaborating with science, engineering,