Principal Machine Learning Engineer, Agentic AI

Zillow

Confirmed live today High trust
Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$209,400–$334,600 / yr
Employment
Full-time
Posted
7 days ago
Freshness
Confirmed live today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $224k
This role $272k
$149k $354k
below market most similar roles pay here above market

This role pays more than 78% of similar roles. Most pay $186,025–$261,225 — the blue band above. At the midpoint, this role pays about $272k versus about $224k for comparable roles.

Based on 240 similar postings.

Employer

About Zillow

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

View all roles at Zillow

At a glance

TL;DR · Principal Machine Learning Engineer, Agentic AI

The Principal Machine Learning Engineer joins the Agentic AI team to develop large-scale, fault-tolerant multimodal agentic experiences for the real estate industry. This role involves designing multiple agent interaction modes, including Voice AI and Deep Research, while pioneering robust evaluation frameworks, tracing systems, and safety guardrails. The engineer will lead complex, multi-team initiatives to bridge applied research with scalable engineering, converting emerging agentic paradigms into tangible product innovations. Key responsibilities include building AI services capable of handling hundreds of millions of daily interactions with high availability and low latency. Required expertise includes frontier multimodal LLMs, multi-agent collaboration, and dialogue systems. The candidate must be proficient with agentic AI frameworks such as LangGraph, Agents SDK, and AutoGen, while managing production ML infrastructure to solve complex home shopping problems.

What does a Machine Learning Engineer earn in Remote?

Median $246638 from 41 postings across 11 companies.

See salary data

What you'll do

  • Develop large-scale, fault-tolerant multimodal agentic experiences for 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 for trustworthy AI agents.
  • Convert emerging agentic paradigms into tangible product innovations.
  • Lead complex, multi-team initiatives bridging the gap between applied research and scalable engineering.
  • Distill complex research findings and AI architectures into actionable insights for executives and partners.
  • Build AI services capable of handling hundreds of millions of daily interactions with high availability.

What we're looking for

  • Master's degree or above, or equivalent experience, in Computer Science, Electrical Engineering, or a related field.
  • 5+ years of experience deploying large-scale ML models.
  • 2-3 years of experience building agent-based systems, multi-agent collaboration, or similar paradigms.
  • Experience developing dialogue systems with long conversations, context-aware tool selection, and compliant response generation.
  • Experience building AI services handling hundreds of millions of daily interactions with high availability and low latency.
  • Familiarity with agentic AI frameworks like LangGraph, Agents SDK, AutoGen, and production ML infrastructure.
  • Strong communication skills to influence technical direction and present to executive leadership.
  • Track record of writing articles, patents, and publishing high-impact research (preferred).

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