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, Foundational AQ & EQ
October 3
🏄 California – Remote
⛰️ Colorado – Remote
+14 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
• Conduct state-of-the-art research in foundational models and building agentic AI systems • Focus on fine-tuning and reinforcement learning of large language models (LLMs) • Explore the design of automated, agentic workflows that allow intelligent systems to reason, plan, and act • Collaborate with applied scientists, engineers, and product leaders • Design training algorithms for the improved agentic AI workflow
🎯 Requirements
• Currently enrolled in a PhD program in Computer Science, Machine Learning, Artificial Intelligence, or a related field with a strong publication record • Advanced research in natural language processing (NLP) and/or reinforcement learning (RL) • Practical experience fine-tuning and adapting large language models (LLMs) for specific use cases • Familiarity with the design and implementation of automated/ agentic workflows • Deep understanding of LLMs, hands on experience of post-training with the most popular OSS models • Proficiency in Python and modern ML frameworks (e.g., PyTorch, TensorFlow) • Excited about applying advanced AI methods to impactful, real-world problems • Strong research mindset, with motivation to publish
🏖️ Benefits
• comprehensive medical, dental, vision, life, and disability coverages • parental leave • family benefits • retirement contributions • paid time off
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