Zillow
Reimagining real estate to make it easier than ever to move from one home to the next.
Senior Applied Scientist, Rich Media Experiences
Research ScientistResearch ScientistFull TimeRemoteTeam 5,001-10,000Since 2006H1B SponsorCompany SiteLinkedIn
Location
California + 14 moreAll locations: California, Colorado, Connecticut, Hawaii, Illinois, Nevada, New Jersey, New York, Ohio, Maryland, Massachusetts, Minnesota, Rhode Island, Vermont, Washington
Posted
42 days ago
Salary
$160.9K - $257.1K / year
Bachelor Degree5 yrs expEnglishPythonPy TorchTensorflow
Job Description
• Frame and solve complex perception problems using scientific and engineering best practices.
• Collaborate with product, engineering, and design teams to translate user needs into research questions and solutions.
• Design, implement, and iterate on machine learning and computer vision models for structured understanding of spaces.
• Develop robust evaluation pipelines and experiments to measure and improve model performance.
• Integrate models into production systems, ensuring reliability and scalability.
• Monitor and improve deployed models based on real-world data and user feedback.
• Mentor and support team members in modeling, evaluation, and research practices.
• Communicate findings and technical decisions clearly to both technical and non-technical partners.
Job 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.
- Experience with geometry-heavy or spatial understanding problems, or multi-modal/sensor-fusion challenges, is a plus.
- 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
- equity awards based on factors such as experience, performance and location.
