Senior Machine Learning Engineer, Rich Media Experiencesremoterocketship • New York, New York, United States
Senior Machine Learning Engineer, Rich Media Experiences
remoterocketship
- New York, New York, United States
- New York, New York, United States
Über
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 Requirements:
significant professional experience building and shipping machine learning models or ML-powered systems in production strong hands-on proficiency in Python and at least one modern machine learning framework, such as PyTorch or TensorFlow experience building and operating end-to-end machine learning workflows, including data pipelines, model training, evaluation, deployment, and monitoring strong foundation in machine learning fundamentals such as representation learning, structured prediction, computer vision, optimization, and failure analysis comfortable debugging model and system behavior in real-world environments using metrics, logs, and experiments to improve outcomes collaborate effectively with applied scientists, software engineers, and product partners in ambiguous, cross-functional settings strong engineering judgment and know how to balance experimentation with reliability, speed, and long-term maintainability 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:
equity awards based on factors such as experience, performance, and location
Sprachkenntnisse
- English
Hinweis für Nutzer
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