Hiring: Senior Machine Learning Engineer, Rich Media Experiences Company: Zillow Location: United States Job Posted Time: 2026-09-03 10:17:21 Employment Type: Remote Target Skills & Keywords : Computer Vision, Data Pipeline, Machine Learning, PyTorch, Python, TensorFlow About the job Required Skills: •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. •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. Qualifications: •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. •How we work is a key part of that transformation. Through Cloud HQ, our strategic approach to distributed work, most employees have the flexibility to work from wherever they’re most productive—enabling us to move fast, stay connected and deliver on our people promise. Compensation: •Flexible work environment (work from home / hybrid options) Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!