Senior Machine Learning Engineer

Zillow

Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$171,700–$274,300 / yr
Posted
46 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $216k
This role $223k
$159k most similar roles pay here $287k

This role pays more than 51% of similar roles. Most pay $179,851–$251,775 — the shaded band above. At the midpoint, this role pays about $223k versus about $216k 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 39 open roles on FindRole.

Listed pay typically runs $160,900–$257,100 across 39 roles with salary data.

Most-posted roles

View all roles at Zillow

At a glance

TL;DR · Senior Machine Learning Engineer

Zillow is hiring a Senior Machine Learning Engineer to join the Agentic Data Foundations team within the Agentic Data Platform organization. This role involves architecting and building scalable machine learning infrastructure that powers Zillow’s AI initiatives, serving as a technical liaison between data platforms and applied AI teams, and driving alignment on timelines and priorities across multiple organizations. The ideal candidate will have over six years of experience in large-scale data and ML infrastructure, proficiency with agentic AI frameworks like LangGraph and LangChain, and expertise in cloud platforms such as AWS. Additionally, the role requires strong leadership skills to mentor engineers and communicate complex technical concepts effectively to diverse audiences, all while operating within a fast-paced, ambiguous environment that demands rapid innovation and agility.

What you'll do

  • Lead the design and deployment of scalable machine learning infrastructure.
  • Serve as a technical liaison between core data platforms and applied AI teams.
  • Drive alignment on timelines and architectures across different organizations.
  • Deploy and optimize ML capabilities in production for high availability.
  • Mentor engineers and establish best practices for technology use.

What we're looking for

  • 6+ years of hands-on experience in large-scale ML and data infrastructure.
  • Deep expertise in machine learning fundamentals and production system requirements.
  • Proficiency in agentic AI frameworks, large-scale data processing tools, and cloud platforms.
  • Proven ability to build strong cross-functional relationships and lead matrixed teams.
  • Excellent verbal and written communication skills for diverse audiences.
  • Strong understanding of software design patterns, distributed systems architecture, and operational excellence.

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