Senior Machine Learning Engineer

Zillow

Remote

Quick summary

Work type: Remote
Location: Remote
Salary: $171,700–$274,300 / yr
Posted: 36 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

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As a Senior Machine Learning Engineer on Zillow’s Agentic AI team, you will develop large-scale, fault-tolerant multimodal agentic experiences that reach millions of customers, designing interaction modes like Voice AI and Deep Research. You’ll pioneer robust evaluation frameworks and safety guardrails to ensure trustworthy AI agents while leading complex initiatives that bridge applied research with scalable engineering. This role requires expertise in deploying large-scale ML models, developing engaging dialogue systems, and building high-availability AI services. Familiarity with agentic AI frameworks such as LangGraph and Agents SDK is essential, along with strong communication skills for influencing technical direction and presenting to leadership.

Skills

Python TensorFlow PyTorch Kubernetes Docker AWS CI/CD PostgreSQL LangGraph Agents SDK AutoGen Prometheus Grafana Scalability Fault_Tolerance

What you'll do

Develop large-scale, fault-tolerant multimodal agentic experiences for millions of customers.
Design multiple agent interaction modes including Voice AI and Deep Research.
Pioneer robust evaluation frameworks and safety guardrails for trustworthy AI agents.
Convert emerging agentic paradigms into tangible product innovations.
Lead complex multi-team initiatives bridging applied research and scalable engineering.
Distill complex research findings and system architectures into actionable insights.

What we're looking for

Master's degree or equivalent experience in Computer Science or related field.
5+ years of deploying large-scale ML models, focusing on agent-based systems.
Experience developing engaging dialogue systems with context-aware capabilities.
Expertise in building AI services for high availability and robust fault tolerance.
Familiarity with agentic AI frameworks like LangGraph, Agents SDK, AutoGen.
Strong communication skills to influence technical direction and present to leadership.

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