Zillow is looking for a Senior Applied Scientist to tackle complex, real-world challenges that directly shape our virtual touring experiences. You will have a broad impact by defining ambiguous problems, developing innovative models, and collaborating with cross-functional teams to enhance how users explore homes.
What You'll Do
- 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.
What We're Looking For
- 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.
Nice to Have
- Experience with geometry-heavy or spatial understanding problems, or multi-modal/sensor-fusion challenges.
- Prior success in ambiguous, evolving problem spaces or zero-to-one environments.
- Contributions to the broader ML or computer vision community (e.g., publications, patents, open-source).
Technical Stack
- Python, PyTorch, TensorFlow, JAX
Team & Environment
You will collaborate across product, research, and engineering teams.
Benefits & Compensation
- Compensation varies by location. In California, Connecticut, Maryland, Massachusetts, New Jersey, New York, Washington state, and Washington DC: $160,900.00 - $257,100.00 annually. In Colorado, Hawaii, Illinois, Minnesota, Nevada, Ohio, Rhode Island, and Vermont: $152,900.00 - $244,300.00 annually.
- Eligible for equity awards based on factors such as experience, performance and location.
Work Mode
This is a remote position. U.S. employees may live in any of the 50 United States, with limited exceptions.
Zillow Group is an equal opportunity employer committed to fostering an inclusive, innovative environment with the best employees. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.





