Principal Machine Learning Engineer, Agentic AI
Zillow
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How this pay compares to similar roles
This role pays more than 83% of similar roles. Most pay $208,462–$254,750 — the blue band above. At the midpoint, this role pays about $272k versus about $232k for comparable roles.
Based on 240 similar postings.
Employer
Zillow Group is a leading real estate and rental marketplace providing consumers with data, tools, and services to find, buy, sell, rent, and finance homes, and connecting buyers with agents and lenders. Industry: Real Estate Technology & Marketplace
Zillow currently has 49 open roles on FindRole.
Listed pay typically runs $164,400–$262,600 across 40 roles with salary data.
Most-posted roles
At a glance
The Principal Machine Learning Engineer (Memory & Context) joins the Agentic AI team to advance Zillow’s agentic capabilities. This role involves shaping the architecture for agent memory, specifically how the assistant reasons about, writes, retrieves, updates, and retires memories across long-term home searches. You will drive context engineering by assembling and compressing information from conversation history, user memory, tools, and skills to ensure relevant, cost-efficient responses. Key responsibilities include building and orchestrating agents end-to-end, designing offline and online evaluation frameworks for memory quality, and leading cross-functional initiatives. The role requires expertise in Python and agentic AI frameworks like LangGraph, Agents SDK, or AutoGen. You will solve technical problems related to long-context techniques, self-evolving agentic systems, and maintaining personalized user insights within a production environment.
What does a Machine Learning Engineer earn in Remote?
Median $246638 from 41 postings across 11 companies.
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