Senior Applied Scientist, Rich Media Experiences

🕒 January 27

🏄 California, Colorado, +13 more states – Remote

🏄 California – Remote ⛰️ Colorado – Remote 🦌 Connecticut – Remote 🌺 Hawaii – Remote 🌽 Illinois – Remote 🎰 Nevada – Remote 🏖️ New Jersey – Remote 🗽 New York – Remote 🏈 Ohio – Remote 🦀 Maryland – Remote 🍂 Massachusetts – Remote ❄️ Minnesota – Remote ⚓ Rhode Island – Remote 🍁 Vermont – Remote ☕ Washington – Remote

💵 $160.9k - $257.1k / year

⏰ Full Time

🟠 Senior

🧬 Research Scientist

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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

• Frame and solve complex perception problems using scientific and engineering best practices. • Collaborate with product, engineering, and design teams to translate user needs into research questions and solutions. • Design, implement, and iterate on machine learning and computer vision models for structured understanding of spaces. • Develop robust evaluation pipelines and experiments to measure and improve model performance. • Integrate models into production systems, ensuring reliability and scalability. • Monitor and improve deployed models based on real-world data and user feedback. • Mentor and support team members in modeling, evaluation, and research practices. • Communicate findings and technical decisions clearly to both technical and non-technical partners.

🎯 Requirements

• 5+ years of experience as an applied or research scientist working on machine learning or computer vision with real-world data. • Proficiency in Python and at least one deep learning framework (e.g., PyTorch, TensorFlow, or JAX), with a track record of building and deploying models. • Experience shipping production ML systems, including data pipelines, deployment, monitoring, and iteration. • Strong understanding of probability, statistics, and experimental design, with the ability to apply these to practical evaluation strategies. • Demonstrated ability to work with noisy, imperfect datasets and design robust solutions for challenging edge cases. • Experience with geometry-heavy or spatial understanding problems, or multi-modal/sensor-fusion challenges, is a plus. • Proven ability to communicate complex technical ideas to both technical and non-technical audiences, and to collaborate effectively in cross-functional teams. • Prior success in ambiguous, evolving problem spaces or zero-to-one environments is valued. • Contributions to the broader ML or computer vision community (e.g., publications, patents, open-source) are a plus.

🏖️ Benefits

• equity awards based on factors such as experience, performance and location.