Zillow
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.
AI Applied Scientist – PhD Intern, Evaluation Systems and Metrics
October 3
🏄 California – Remote
🦌 Connecticut – Remote
+5 more states
💵 $104k - $166k / year
👨🎓 Internship
⚪️ Entry-level
🧬 Research Scientist
🦅 H1B Visa Sponsor
Zillow
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
• develop cutting-edge evaluation methodologies for AI systems • focus on creating robust, scalable metrics and frameworks to assess quality, consistency, and performance of generative models across multiple modalities • contribute in the following areas: • Develop innovative assessment methodologies for emerging AI capabilities, focusing on consistency and quality across complex multi-modal outputs • Design evaluation systems that learn and adapt from feedback • Design frameworks that incorporate domain-specific implementations of differential privacy • Develop scalable methodologies for assessing agentic systems
🎯 Requirements
• Currently enrolled as a PhD student in computer science, machine learning, computer vision, or a related field, with strong publication record • Candidates should have a background in one or more of the following areas: • Evaluation methodologies for AI/ML systems • Computer vision metrics and 3D consistency assessment • Generative model evaluation (text, image, video, 3D) • Multi-modal assessment and automated feedback systems • Knowledge of data privacy methods (e.g., differential privacy, federated learning, secure ML) and their application • Single agent or multi-agent system evaluations • Familiarity with modern deep learning frameworks (e.g., PyTorch, Hugging Face Transformers) • Strong research mindset, with motivation to publish • Interest in applying AI to complex, multi-stakeholder domains • A record of publication in conferences, workshops, or journals is a plus
🏖️ Benefits
• comprehensive medical, dental, vision, life, and disability coverages • parental leave • family benefits • retirement contributions • paid time off
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