[Remote] Senior Machine Learning Engineer, Rich Media Experiences

Note: The job is a remote job and is open to candidates in USA. Zillow is a leading real estate platform, focused on enhancing how people understand homes through innovative, AI-powered experiences. As a Senior Machine Learning Engineer, you will design and build production-grade machine learning systems that transform rich media into structured representations, collaborating with applied scientists and software engineers to integrate these capabilities into customer-facing products.

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
• Experience in computer vision, spatial data, 3D, AR/VR, mapping, search, recommendation systems, or related domains is a plus

Benefits

• In addition to a competitive base salary this position is also eligible for equity awards based on factors such as experience, performance and location.
• Employees in this role will not be paid below the salary threshold for exempt employees in the state where they reside.

Company Overview

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