Applied Scientist

🔥 31 minutes ago

🇩🇪 Germany – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🧬 Research Scientist

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Zillow

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 2006

🏠 Real Estate

🛍️ eCommerce

👥 B2C

💰 $4.1M Post-IPO Equity on 2012-12

Real Estate • eCommerce • B2C

Zillow is a leading real estate and property rental marketplace that provides comprehensive information on homes, apartments, and properties for sale or rent. It offers users tools to search for properties, calculate mortgage rates, and connect with real estate agents. The platform also features innovative algorithms that provide Zestimates, which are estimated market values of homes. Zillow is a go-to resource for individuals looking to buy, sell, or rent properties, as well as for agents and brokers who want to reach a wider audience.

📋 Description

• Lead end-to-end development of computer vision and machine learning solutions from problem framing and data exploration through modeling, evaluation, and iteration • Develop approaches using state-of-the-art 3D computer vision and generative AI techniques with images and video • Partner with product, engineering, and business stakeholders to translate business priorities into scientific requirements • Design, implement, and analyze experiments measuring model-driven feature impact • Build, validate, and maintain production-quality data pipelines, features, and model artifacts • Communicate technical findings, model performance, and trade-offs through narratives, visualizations, and recommendations • Monitor model and data quality in production and investigate performance issues • Propose improvements to maintain accuracy, fairness, and stability • Share best practices, reusable components, and documentation • Informally mentor less-experienced colleagues

🎯 Requirements

• Master’s degree in a quantitative field such as Computer Science, Statistics, Mathematics, Engineering, Data Science, or a related discipline, or an equivalent combination of education and experience • 5+ years of relevant professional experience applying computer vision, statistical analysis, or machine learning to real-world data problems • Experience working with large or complex datasets using Python • Experience with common data/ML libraries or frameworks, including PyTorch, SciPy/NumPy, and Transformers • Experience collaborating in cross-functional environments to deliver analytical or model-based solutions influencing product, platform, or operational outcomes • Expertise in 3D computer vision and generative methods preferred

🏖️ Benefits

• Competitive base salary • Equity awards based on experience, performance, and location • Flexible work from a physical location of choice • Remote work with no permanent corporate office workplace • Accommodation support during recruitment for disabilities or special needs