Principal Applied Scientist, Generative AI

🕒 March 24

🇺🇸 United States – Remote

💵 $185.8k - $312.4k / year

⏰ Full Time

🔴 Lead

🧬 Research Scientist

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Logo of Zillow

Zillow

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

• Define the research agenda for LLM post-training, reward modeling, and evaluation of agentic systems • Lead and grow a group of applied scientists, providing technical direction, mentorship, and scientific rigor • Drive ambiguous, high-impact problems end to end, from product vision through experiments, models, and data • Translate state-of-the-art generative AI research into product improvements for millions of home shoppers • Communicate scientific strategy and results to executives and cross-functional partners • Build foundational AI technologies powering Zillow’s next generation of home-shopping experiences

🎯 Requirements

• PhD in Computer Science, Machine Learning, or a related field, or a master's degree with equivalent research experience • Deep, hands-on expertise in large language models or foundation models, including post-training (SFT, DPO, RLHF, RFT/GRPO), reward modeling, or LLM evaluation • Track record of leading others by managing teams of scientists or engineers while staying technically hands-on, or leading a research group with a strong publication record • Ability to independently scope and solve ambiguous problems and influence technical direction across teams • Proficiency in Python and ML frameworks such as PyTorch, including reading, debugging, and guiding experimental code • Publications at top venues such as NeurIPS, ICML, ICLR, ACL, or EMNLP • Experience applying LLMs in consumer-facing products at scale • Experience with agentic AI systems and their evaluation • Background in reinforcement learning or preference learning

🏖️ Benefits

• Equity awards • Remote work from a physical location of the employee’s choice • Inclusive, innovative, and engaging workplace culture • Equal employment opportunity and accommodation support

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