Senior Applied Scientist

🕒 September 17

🇺🇸 United States – Remote

💵 $152.9k - $257.1k / year

⏰ Full Time

🟠 Senior

🧬 Research Scientist

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 6%

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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

• Own LLM post-training pipelines, including SFT, DPO, and reinforcement fine-tuning (RFT/GRPO), running training end-to-end on GPU infrastructure • Build and train fast, multi-category reward models that emit scalar signals from contrastive preference pairs • Design on-policy and online assessment by scoring live agent trajectories using LLM-as-a-Judge frameworks • Translate offline evaluation rubrics into generalizable reward functions for arbitrary production traces • Drive complex, ambiguous work end-to-end in collaboration with product, engineering, science, platform, and data teams • Provide technical leadership and mentorship • Translate state-of-the-art AI research into production impact

🎯 Requirements

• Master's degree or higher in Computer Science or a related field • Hands-on experience with LLM post-training and RL fine-tuning: SFT, DPO, RFT/GRPO, running end-to-end training runs on GPU infrastructure • Exposure to reward model development; research-level experience is sufficient • Strong knowledge of generative AI, including foundation models, transformers, reinforcement learning, and preference learning • Ability to independently scope and solve ambiguous problems end-to-end while providing technical leadership to scientists and MLEs • Strong programming skills, especially Python • Experience with ML frameworks such as PyTorch or TensorFlow • PhD in Computer Science, Machine Learning, or a related field (nice-to-have) • Experience evaluating agentic AI: multi-turn trace analysis, LLM-as-a-Judge, and the interaction between offline evals and online monitoring (nice-to-have) • Published work in post-training, RLHF/RLAIF, preference learning, or reward modeling (nice-to-have) • Experience with GPU training platforms such as Databricks or Fireworks (nice-to-have)

🏖️ Benefits

• Equity awards based on factors such as experience, performance and location • Remote work from a physical location of choice • Flexibility to work from wherever most productive • Accommodation support for disabilities or special needs

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