Senior Machine Learning Engineer

🕒 May 3

🏄 California, Connecticut, +6 more states – Remote

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

💵 $171.7k - $274.3k / year

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

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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

• Develop large-scale, fault-tolerant multimodal agentic experiences that reach millions of customers • Design and develop multiple agent interaction modes, including Voice AI and Deep Research • Pioneer robust evaluation frameworks, tracing systems, and safety guardrails to ensure our highly-visible AI agents remain trustworthy and responsible • Remain on the cutting edge of emerging agentic paradigms and convert them into tangible product innovation • Lead complex, multi-team initiatives, bridging the gap between applied research and highly scalable engineering • Distill complex research findings and AI system architectures into actionable insights for a diverse audience, including executives and cross-functional partner teams

🎯 Requirements

• A master's degree or above, or equivalent experience in Computer Science, Electrical Engineering, or a related field • 5+ years of experience with a proven track record of deploying large-scale ML models, with the most recent 2-3 years building agent-based systems, multi-agent collaboration, or similar paradigms • Experience developing engaging dialogue systems capable of long conversations, context-aware tool selection, and compliant response generation • Experience building AI services capable of handling hundreds of millions of daily interactions with high availability, low latency, and robust fault tolerance • Familiarity with various agentic AI frameworks, such as LangGraph, Agents SDK, AutoGen, and production ML infrastructure • A track record of writing articles, patents, and publishing high-impact research is a strong plus • Strong communication skills, with the ability to influence technical direction across teams and present to executive leadership

🏖️ Benefits

• competitive base salary • equity awards based on experience, performance and location • flexible work arrangements