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 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 high-reaching 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 insights into how to help each buyer they are interacting with, and by using machine learning tools like Large Language Models, 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

The Agent and Loan Officer AI Team is looking for a Machine Learning Engineer to help us advance Zillow's mission by developing outstanding and engaging user experiences with AI.

As a Machine Learning Engineer (MLE), you will work closely with Applied Scientists, other MLEs and software developers to deliver the systems that power these experiences. You will be encouraged to keep up with the latest CV/ML frameworks and best modeling and coding practices. In this role, you'll:

• Design, implement, and document technical solutions(API services) that are scalable, performant, maintainable, and secure. 
• Promote operational efficiency by establishing benchmarks in software design, implementing automated testing, and observability mechanisms.
• Partner with scientists to Leverage LLMs and Gradient Boosted Trees to model user behavioural data and predict future actions.
• Collaborate with team members from diverse domains: product, data, and science
• Work hands-on in technical feature development, design and code-reviews, and prototyping.
• Assist in transferring models and ideas from a jupyter notebook to a production service.

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 $140,100.00 - $223,900.00 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

As a Machine Learning Engineer, you are a roll-up-the-sleeves and get it done practitioner in computer vision and machine learning. This is a new, fast-growing space, and we are looking for someone who has:

• 2+ Years experience as a professional Machine Learning Engineer
• Advanced knowledge and demonstrated skill in designing, developing and deploying models in large production environments.
• Degree in Computer Science or Engineering, Machine Learning, Computer Vision, or related domain or equivalent industry experience
• Expertise in machine learning research,  building models, and algorithms
• Proficiency (academic is acceptable) with a high-level programming language (Python/Java)
• Experience building data pipelines, exploration and visualization tools.
• Experience in developing services, databases and interfaces exposing ML to endpoints. 
• Experience training machine learning models in frameworks like Tensorflow, PyTorch, CatBoost
• Experience optimizing and deploying models
• The communication skills to work collaboratively to prototype, develop, and implement new technologies
• The tenacity to embrace and solve challenging problems!
• Comfortable in a small team/fast-paced environment
• Excellent communication, collaboration, and organizational skills

Nice to have:
Experience building ETL pipelines using Spark, Kubeflow
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 RecruitingAccessibility@zillowgroup.com.

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.