Note: The job is a remote job and is open to candidates in USA. Zillow is a real estate platform that helps people navigate buying, selling, financing, and renting. The Senior Machine Learning Engineer will build and operate production-grade machine learning systems for rich media experiences, including floor plans and 3D representations, while partnering with applied scientists and software engineers to deliver reliable, scalable customer-facing capabilities.
Responsibilities
- Design, build, and operate production-grade machine learning systems that move from early ideas and prototypes into reliable customer-facing services
- Lead end-to-end machine learning work spanning data, training, evaluation, deployment, observability, and iteration in production
- Partner closely with applied scientists and software engineers across backend, web, and mobile to integrate modern machine learning techniques into Zillow experiences
- Improve the quality, latency, reliability, and maintainability of machine learning workflows that support floor plan and rich media products
- Drive technical decisions in ambiguous problem spaces, especially where structured inference, computer vision, spatial signals, or performance tradeoffs matter
- Help establish shared patterns, tooling, and best practices that raise the bar for machine learning engineering across the team
- Mentor peers through strong technical execution, code review, debugging discipline, and thoughtful communication across functions
Skills
- You have significant professional experience building and shipping machine learning models or ML-powered systems in production
- You have strong hands-on proficiency in Python and at least one modern machine learning framework, such as PyTorch or TensorFlow
- You have experience building and operating end-to-end machine learning workflows, including data pipelines, model training, evaluation, deployment, and monitoring
- You have a strong foundation in machine learning fundamentals such as representation learning, structured prediction, computer vision, optimization, and failure analysis
- You are comfortable debugging model and system behavior in real-world environments and using metrics, logs, and experiments to improve outcomes
- You collaborate effectively with applied scientists, software engineers, and product partners in ambiguous, cross-functional settings
- You have strong engineering judgment and know how to balance experimentation with reliability, speed, and long-term maintainability
- You communicate technical ideas clearly and can influence decisions across disciplines
- Here at Zillow, we value the experience and perspective of candidates with non-traditional backgrounds. We encourage you to apply if you have transferable skills or related experiences
- U.S. employees may live in any of the 50 United States, with limited exceptions
- Experience in computer vision, spatial data, 3D, AR/VR, mapping, search, recommendation systems, or related domains is a plus
Benefits
- This position is also eligible for equity awards based on factors such as experience, performance and location.
- Remote employees may work from a physical location of their choice, subject to identifying the location to the Company.
- Most employees have the flexibility to work from wherever they’re most productive through Cloud HQ, Zillow’s strategic approach to distributed work.
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