AI Applied Scientist – PhD Intern, Foundational IQ

October 3

🏄 California – Remote

Although this job is listed in California, this company may be open to hiring remote in other states.

🦌 Connecticut – Remote

Although this job is listed in Connecticut, this company may be open to hiring remote in other states.

+5 more states

🏄 California – Remote 🦌 Connecticut – Remote 🏖️ New Jersey – Remote 🗽 New York – Remote 🦀 Maryland – Remote 🍂 Massachusetts – Remote ☕ Washington – Remote

💵 $104k - $166k / year

👨‍🎓 Internship

⚪️ Entry-level

🧬 Research Scientist

🦅 H1B Visa Sponsor

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Zillow

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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.

5001 - 10000 employees

Founded 2006

🏠 Real Estate

🛍️ eCommerce

👥 B2C

💰 $4.1M Post-IPO Equity on 2012-12

📋 Description

• Research and develop methods for adapting LLMs and foundation models with Zillow’s domain-specific data • Build and evaluate multimodal models that combine text, images, geospatial and tabular signals for home and user understanding. • Explore reinforcement learning and sequential decision-making for long‑horizon, user‑centric outcomes • Prototype agentic workflows; define success metrics and run rigorous offline/online evaluations • Partner across science, engineering, product, and design; share results via docs, presentations, and publications

🎯 Requirements

• Currently enrolled in a PhD program in Computer Science, Machine Learning, Artificial Intelligence or a related field with a strong research track record • Experience in one or more of the following: LLMs: instruction tuning/fine‑tuning, prompting, and evaluation/measurement • Multimodal learning (image + text; familiarity with audio or geospatial a plus) • Representation learning with limited labels (self/semi/weakly-supervised) • User modeling for personalization systems • Reinforcement learning or sequential decision‑making • Evaluating generative/agentic systems; privacy‑aware and responsible AI practices (e.g., fair‑housing considerations) are a plus • Proficiency in Python and modern ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face) • Clear communication and a collaborative mindset; motivated to publish at top venues

🏖️ Benefits

• Comprehensive medical, dental, vision, life, and disability coverages • Parental leave • Family benefits • Retirement contributions • Paid time off