Senior Machine Learning Engineer - Agent AI Team



Software Engineering, Data Science
United States · Remote
Posted on Wednesday, April 10, 2024

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 Agent and Loan Officer 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 and

About the role

We are seeking a skilled Sr Machine Learning Engineer to aid in designing and delivering AI-powered experiences.

You Will Get To:

  • Collaborate with team members from diverse domains: product, data, and science
  • Lead efforts to deploy machine learning models into production, designing robust and scalable systems for inference, monitoring and maintenance
  • Build large scale data pipelines for data processing and feature generation to ensure consistent data and features are used across model training, online and batch deployments
  • Build generalized real-time and stream-processing infrastructure for machine learning applications
  • Provide leadership that helps navigate the team through complicated technical challenges
  • Support the growth and development of individuals and the team through interviewing, onboarding, and mentorship
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. Employees may live in any of the 50 US States, with limited exceptions. In certain cases, an employee in a remote-designated job may need to live in a specific region or time zone to support customers or clients as part of their role.In California, Colorado, Connecticut, Hawaii, Nevada, New York and Washington the standard base pay range for this role is $165,600.00 - $264,500.00 Annually. This base pay range is specific to California, Colorado, Connecticut, Hawaii, Nevada, New York and Washington 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:

  • Advanced degree (M.S or Ph.D) or equivalent industry experience in Computer Science, Machine Learning or related fields
  • Hands on experience in deploying machine learning models into production environments
  • Experience working with large scale datasets and building ETL pipelines using Spark, Kubeflow
  • 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
  • Comfortable in a small team/fast-paced environment
  • Excellent communication, collaboration, and organizational skills

Nice to have:

  • Experience with building applications using Generative AI or Large Language Models and related technologies

Get to know us

Zillow is reimagining real estate to make home a reality for more and more people.

As the most-visited real estate website in the United States, Zillow® and its affiliates help movers find and win their home through digital solutions, first class partners, and easier buying, selling, financing and renting experiences. Millions of people visit Zillow Group sites every month to start their home search, and now they can rely on Zillow to help make it easier to move. The work we do helps people get home and no matter what job you're in, you will play a critical role in making home a reality for more and more people.

Our efforts to streamline the real estate transaction are supported by a deep-rooted culture of innovation, our passion to redefine the employee experience, a fundamental commitment to Equity and Belonging, and world-class benefits. These benefits include comprehensive medical, dental, vision, life, and disability coverages as well as parental leave, family benefits, retirement contributions, and paid time off. We’re also setting the standard for work experiences of the future, where our employees are supported in doing their best work and living a flexible, well-balanced life. But don’t just take our word for it. Read recent reviews on Glassdoor and recent recognition from multiple organizations, including: the 100 Best Companies to Work For, Glassdoor Employees’ Choice Award, Bloomberg Gender-Equality Index, Human Rights Campaign (HRC) Corporate Equity Index, and TIME 100 Most Influential Companies list.

Zillow Group is an equal opportunity employer committed to fostering an inclusive, innovative environment with the best employees. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please contact us at

Applicants who receive job offers from Zillow Group will be asked to sign a Proprietary Rights Agreement which includes confidentiality, intellectual property assignment, customer and employee non-solicitation, and non-competition provisions. If you are contacted for a role at Zillow Group and wish to review a copy of the Proprietary Rights Agreement prior to receiving an offer, you may request a copy from your Recruiter.