Senior Machine Learning Engineer, Rich Media Experiences

This is a fully remote position, open to applicants in California, +7 more states.

📋 Description

• Design, develop, and manage production-quality machine learning systems that transition from initial concepts and prototypes into dependable customer-facing services.

• Oversee the complete machine learning process, including data collection, model training, evaluation, deployment, observability, and iteration within a production environment.

• Collaborate closely with applied scientists and software engineers across backend, web, and mobile domains to incorporate contemporary machine learning methods into Zillow's offerings.

• Enhance the quality, speed, reliability, and maintainability of machine learning processes that support floor plan and rich media products.

• Make technical decisions in uncertain problem areas, particularly where structured inference, computer vision, spatial signals, or performance trade-offs are significant.

• Assist in establishing common patterns, tools, and best practices that elevate the standards for machine learning engineering within the team.

• Mentor colleagues through proficient technical execution, code reviews, debugging practices, and effective communication across various functions.

⛳️ Requirements

• Substantial professional experience in developing and deploying machine learning models or ML-driven systems in a production setting.

• Strong practical expertise in Python and at least one contemporary machine learning framework, such as PyTorch or TensorFlow.

• Experience in constructing and managing end-to-end machine learning workflows, covering data pipelines, model training, evaluation, deployment, and monitoring.

• Solid understanding of machine learning fundamentals, including representation learning, structured prediction, computer vision, optimization, and failure analysis.

• Proficient in diagnosing model and system behavior in real-world settings using metrics, logs, and experiments to enhance outcomes.

• Ability to work collaboratively with applied scientists, software engineers, and product partners in uncertain, cross-functional environments.

• Strong engineering judgment with knowledge of how to balance experimentation with reliability, speed, and long-term maintainability.

• Capable of articulating technical concepts clearly and influencing decisions across various disciplines.

• Experience in computer vision, spatial data, 3D, AR/VR, mapping, search, recommendation systems, or related fields is advantageous.

🏝️ Benefits

• Equity awards based on factors such as experience, performance, and location.