Senior Machine Learning Engineer, Rich Media Experiences

🕒 May 14

🇺🇸 United States – Remote

💵 $163.2k - $274.3k / year

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 45%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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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

• Design, build, and operate production-grade machine learning systems from early ideas and prototypes into reliable customer-facing services • Lead end-to-end machine learning work spanning data, training, evaluation, deployment, observability, and production iteration • Partner with applied scientists and software engineers across backend, web, and mobile to integrate machine learning techniques into Zillow experiences • Improve quality, latency, reliability, and maintainability of machine learning workflows supporting floor plan and rich media products • Drive technical decisions involving structured inference, computer vision, spatial signals, and performance tradeoffs • Establish shared patterns, tooling, and best practices for machine learning engineering • Mentor peers through technical execution, code review, debugging discipline, and cross-functional communication

🎯 Requirements

• Significant professional experience building and shipping machine learning models or ML-powered systems in production • Strong hands-on proficiency in Python and at least one modern machine learning framework, such as PyTorch or TensorFlow • Experience building and operating end-to-end machine learning workflows, including data pipelines, model training, evaluation, deployment, and monitoring • Strong foundation in machine learning fundamentals such as representation learning, structured prediction, computer vision, optimization, and failure analysis • Experience debugging model and system behavior in real-world environments using metrics, logs, and experiments • Effective collaboration with applied scientists, software engineers, and product partners in ambiguous, cross-functional settings • Strong engineering judgment balancing experimentation with reliability, speed, and long-term maintainability • Clear communication of technical ideas and ability to influence decisions across disciplines • Experience in computer vision, spatial data, 3D, AR/VR, mapping, search, recommendation systems, or related domains is a plus

🏖️ Benefits

• Equity awards based on experience, performance and location • Remote work from a physical location of the employee’s choice within the United States • Flexible distributed work through Cloud HQ • Equal employment opportunity and reasonable accommodation support