Applied Scientist

Kurz zusammengefasst

The Specialist II, Applied Science role at Zillow focuses on applying advanced statistical and machine learning methods to address moderately complex business challenges, enhance customer experiences, and strengthen Zillow's data‑driven products. The team works remotely across the United States, building scalable computer‑vision models and experiments that turn research into measurable impact for the real‑estate platform. Day‑to‑day duties include leading the full lifecycle of computer‑vision and machine‑learning projects, from framing problems and exploring data to modeling, evaluating, and iterating solutions. You will develop novel 3‑D vision and generative‑AI approaches using images and video, design and run experiments to gauge feature impact, and construct production‑grade data pipelines, features, and model artifacts that meet quality standards. Communicating results to both technical and non‑technical stakeholders through clear narratives and visualizations, monitoring model performance in production, and mentoring less‑experienced colleagues are also key parts of the role. The position requires a master's degree in a quantitative discipline such as Computer Science, Statistics, Mathematics, Engineering, Data Science, or a related field. Candidates must have at least five years of professional experience applying computer vision, statistical analysis, or machine learning to real‑world data problems. Proficiency with large or complex datasets in Python and familiarity with common ML libraries and frameworks, including PyTorch, SciPy/NumPy, and Transformers, is essential. Experience collaborating across functions to deliver analytical or model‑based solutions that influence product or operational outcomes is also required. Expertise in 3‑D computer vision and generative methods is preferred, though an equivalent mix of education and experience may be considered. Nice‑to‑have attributes include deep knowledge of state‑of‑the‑art 3‑D vision and generative AI techniques. The role offers a competitive base salary, equity awards, and the flexibility of Zillow's Cloud HQ distributed‑work model, allowing you to work from any U.S. location of your choice. Zillow has been recognized as a top workplace by Fortune and TIME, emphasizing an inclusive, innovative culture that supports career growth and impact on the real‑estate industry. What the role asks for: - Master's degree in a quantitative field - 5+ years of relevant professional experience - Strong Python skills with large/complex datasets - Experience with PyTorch, SciPy/NumPy, Transformers - Proven cross‑functional collaboration delivering model‑based solutions - Preferred expertise in 3D computer vision and generative methods - Ability to communicate technical findings to non‑technical audiences - Remote work from any U.S. location (with limited exceptions)