1 month ago
Base Salary
$163k - $274k/yr
Responsibilities
- Design, build, and operate production-grade machine learning systems for customer-facing rich media products.
- Lead machine learning work across data, training, evaluation, deployment, observability, and production iteration.
- Partner with applied scientists and software engineers across backend, web, and mobile to integrate ML capabilities.
- Improve the quality, latency, reliability, and maintainability of ML workflows supporting floor plan and rich media products.
- Drive technical decisions involving structured inference, computer vision, spatial signals, and performance tradeoffs.
- Establish shared ML engineering patterns, tooling, and best practices.
- Mentor peers through technical execution, code reviews, debugging, and cross-functional communication.
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 ML workflows, including data pipelines, model training, evaluation, deployment, and monitoring.
- Strong foundation in representation learning, structured prediction, computer vision, optimization, and failure analysis.
- Ability to debug model and system behavior using metrics, logs, and experiments.
- Ability to collaborate with applied scientists, software engineers, and product partners in ambiguous cross-functional settings.
- Strong engineering judgment balancing experimentation with reliability, speed, and maintainability.
- Clear technical communication and ability to influence decisions across disciplines.
- Experience with computer vision, spatial data, 3D, AR/VR, mapping, search, recommendation systems, or related domains is preferred.
- Candidates with non-traditional backgrounds and transferable or related experience are encouraged to apply.
Benefits
- Remote role with no permanent corporate office workplace; U.S. employees may work from any of the 50 states with limited exceptions.
- Eligible for equity awards based on experience, performance, and location.
- Zillow offers distributed-work flexibility through its Cloud HQ approach.
Categories
About Zillow
Having a place to call your own changes everything. It’s where life happens, where stability grows and possibility begins. At Zillow, we’re transforming real estate so more people can take their next step with confidence and ease. We bring clarity to the process and progress to an industry ready for change, working alongside the people who make real estate work every day. With Cloud HQ, our distributed-first way of working, you can do meaningful work from wherever you work best. We’re always looking for smart, passionate people to help reimagine how people get home. Join us. https://www.zillow.com/careers/