The Zillow Rich Media (RMX) team is transforming how people experience virtual home tours by building immersive, next-generation features that leverage mobile devices, machine learning, and computer vision. As a Senior Applied Scientist, you will tackle complex, real-world challenges that directly shape Zillow’s virtual touring experiences.
Requirements
- 5+ years of experience as an applied or research scientist working on machine learning or computer vision with real-world data.
- Proficiency in Python and at least one deep learning framework (e.g., PyTorch, TensorFlow, or JAX), with a track record of building and deploying models.
- Experience shipping production ML systems, including data pipelines, deployment, monitoring, and iteration.
- Strong understanding of probability, statistics, and experimental design, with the ability to apply these to practical evaluation strategies.
- Demonstrated ability to work with noisy, imperfect datasets and design robust solutions for challenging edge cases.
- Proven ability to communicate complex technical ideas to both technical and non-technical audiences, and to collaborate effectively in cross-functional teams.
- Prior success in ambiguous, evolving problem spaces or zero-to-one environments is valued.
- Contributions to the broader ML or computer vision community (e.g., publications, patents, open-source) are a plus.
Benefits
- Competitive base salary
- Equity awards based on factors such as experience, performance, and location
- Benefits package (unspecified)
