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 to dependable customer-facing services.

• Lead comprehensive machine learning projects that encompass data handling, training, evaluation, deployment, observability, and iterative improvements in a production environment.

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

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

• Make informed technical decisions in complex problem domains, particularly where structured inference, computer vision, spatial signals, or performance trade-offs are critical.

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

• Provide mentorship to colleagues through exemplary technical performance, code reviews, debugging practices, and effective communication across various functions.

⛳️ Requirements

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

• Strong practical skills in Python and proficiency with at least one modern machine learning framework, such as PyTorch or TensorFlow.

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

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

• Ability to troubleshoot model and system behavior in real-world scenarios, utilizing metrics, logs, and experiments to enhance outcomes.

• Effective collaboration with applied scientists, software engineers, and product partners in diverse, cross-functional contexts.

• Strong engineering judgment with the ability to balance experimentation with reliability, speed, and long-term maintainability.

• Ability to convey technical concepts clearly and influence decisions across various disciplines.

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

🏝️ Benefits

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