Pay
$166K–$240K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 1,319 postings in the last year. Stated ranges, not salaries paid.
Principal Machine Learning Engineer (Memory & Context)
Remote-USA
Live, first seen by us 17 days ago- Pay
Multiple pay statements — pay source
This role has been categorized as a Remote position. “Remote” employees do not have a permanent corporate office workplace and, instead, work from a physical location of their choice, which must be identified to the Company. U.S. employees may live in any of the 50 United States, with limited exceptions. In California, Connecticut, Maryland, Massachusetts, New Jersey, New York, Washington state, and Washington DC the standard base pay range for this role is $209,400.00 - $334,600.00 annually. This base pay range is specific to these locations and may not be applicable to other locations.

In Colorado, Hawaii, Illinois, Maine, Minnesota, Nevada, Ohio, Rhode Island, Vermont, and Virginia the standard base pay range for this role is $199,000.00 - $317,800.00 annually. The base pay range is specific to these locations and may not be applicable to other locations. In addition to a competitive base salary this position is also eligible for equity awards based on factors such as experience, performance and location. Actual amounts will vary depending on experience, performance and location. Employees in this role will not be paid below the salary threshold for exempt employees in the state where they reside.
Read the full posting- Work setting
Working pattern needs review — work setting source
Lead complex, multi-team, cross-functional initiatives; align with peer technical leaders; and communicate technical direction clearly across Engineering, partner teams, and leadership This role has been categorized as a Remote position. “Remote” employees do not have a permanent corporate office workplace and, instead, work from a physical location of their choice, which must be identified to the Company. U.S. employees may live in any of the 50 United States, with limited exceptions. In California, Connecticut, Maryland, Massachusetts, New Jersey, New York, Washington state, and Washington DC the standard base pay range for this role is $209,400.00 - $334,600.00 annually. This base pay range is specific to these locations and may not be applicable to other locations.

In Colorado, Hawaii, Illinois, Maine, Minnesota, Nevada, Ohio, Rhode Island, Vermont, and Virginia the standard base pay range for this role is $199,000.00 - $317,800.00 annually. The base pay range is specific to these locations and may not be applicable to other locations.
Listed location: Remote-USA
Read the full posting- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingAs a Principal Machine Learning Engineer on the Agentic AI team, you will partner closely with Engineering, Science, Product, and Platform leaders to advance Zillow’s agentic capabilities.
Shape the architecture for agent memory, how Zillow’s assistant reasons about, writes, retrieves, updates, and retires memories across experiences.
What you’ll bring
All qualificationsCore experience
- 5+ years of experience deploying large-scale ML systems, including at least the most recent year building and shipping LLM-based agents in production
- Experience designing agent or user memory systems (long-term, episodic, or user-profile memory)
- Hands-on experience building agents end to end: orchestration, prompt engineering and optimization, and context engineering
- Experience with dialogue systems that sustain long, multi-session conversations
- Experience evaluating agentic systems and using those results to improve them
- Strong communication skills, including presenting to senior leadership
Qualification wording
5+ years of experience deploying large-scale ML systems, including at least the most recent year building and shipping LLM-based agents in production
Experience designing agent or user memory systems (long-term, episodic, or user-profile memory)
Hands-on experience building agents end to end: orchestration, prompt engineering and optimization, and context engineering
Experience with dialogue systems that sustain long, multi-session conversations
Experience evaluating agentic systems and using those results to improve them
Strong communication skills, including presenting to senior leadership
Education & alternatives
Must-haves - A 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 systems, including at least the most recent year building and shipping LLM-based agents in production
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 21, 202617 days ago
- Recorded sightings
- 35
- Last seen by us
- Nov 7, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 17
Similar jobs usually come down between day 7 and day 71.
At Zillow Group, jobs usually come down by about day 40.
From 4,682 similar postings that came down, and 29 of Zillow Group’s. Coming down is not always a hire.
Zillow Group is hiring
18 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring at a steady pace
- Takes jobs down at a usual pace
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
Where the posting names them
- Strong communication skills, including presenting to senior leadership - Strong programming skills in Python and familiarity with agentic AI frameworks such as LangGraph, Agents SDK, or AutoGen Nice-to-haves
Your next step
Complete your application on zillow.wd5.myworkdayjobs.com. The employer’s form will show what is required.
Applying through Workday
- You create an account with each employer before you can upload anything. Every Workday employer has its own account, so one sign-up doesn’t carry over.
- “Autofill with Resume” comes right after sign-in, before the My Information and My Experience steps. Check every field it fills in those steps, since that’s what recruiters see.
- Your application status lives in that employer’s Candidate Home, under the same sign-in.
Already applied? Track this application
About Zillow Group
- People
- About 6,347 in 2024.Benefit plan filings (Form 5500)
- Company
- Listed as Z.
- H-1B visas
- 20 approved for new hires in fiscal 2025.US Citizenship and Immigration Services
Demand for ML Engineer roles
New ML Engineer postings at the employers we follow are up 12% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
US government figures for computer and information research scientists
- Median yearly pay, May 2025
- $140,300
- Expected change, 2025 to 2035
- 21.8% more jobsagainst 3.5% for all jobs
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
Job description
About the team
The Agentic AI team at Zillow is at the forefront of transforming the real estate industry by helping millions of people use AI assistants to find their next home. We aim to redefine the home shopping and transaction experience by providing an always-on assistant that integrates personalized user insights with Zillow's knowledge. Within this organization, our team owns how the assistant remembers and understands each user across a home search that can last for months: agent memory, context engineering, and the evaluation of agents running in production. We are a senior, fast-moving team of machine learning engineers who do the science and own taking it to production.About the role
As a Principal Machine Learning Engineer on the Agentic AI team, you will partner closely with Engineering, Science, Product, and Platform leaders to advance Zillow’s agentic capabilities. You will:
- Shape the architecture for agent memory, how Zillow’s assistant reasons about, writes, retrieves, updates, and retires memories across experiences.
- Drive context engineering for production agents by assembling, prioritizing, and compressing context from conversation history, user memory, tools, and skills so every response is relevant, fast, and cost-efficient
- Collaborate across federated projects to build and orchestrate agents end to end, from prompt and context design through deployment and production operations
- Design and develop offline and online evaluation frameworks for memory and context quality, using them to guide product and technical decisions
- Stay at the forefront of emerging agentic paradigms, including memory architectures, long-context techniques, and self-evolving agentic systems, and translate them into tangible product innovation
- Lead complex, multi-team, cross-functional initiatives; align with peer technical leaders; and communicate technical direction clearly across Engineering, partner teams, and leadership
Who you are
You are a hands-on technical leader with high agency: when a problem is ambiguous or blocked, you go talk to the people who can solve it, and you make your work visible.
Must-haves
- A 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 systems, including at least the most recent year building and shipping LLM-based agents in production
- Hands-on experience building agents end to end: orchestration, prompt engineering and optimization, and context engineering
- Experience evaluating agentic systems and using those results to improve them
- Proven technical leadership: you have influenced technical direction across teams and mentored other engineers
- Strong communication skills, including presenting to senior leadership
- Strong programming skills in Python and familiarity with agentic AI frameworks such as LangGraph, Agents SDK, or AutoGen
Nice-to-haves
- Experience designing agent or user memory systems (long-term, episodic, or user-profile memory)
- Experience with dialogue systems that sustain long, multi-session conversations
- Personalization of AI assistants from conversation history
- Publications, patents, or open-source contributions related to memory, long-context models, or agents
Get to know us
At Zillow, we’re reimagining how people move—through the real estate market and through their careers. As the most-visited real estate platform in the U.S., we help people navigate buying, selling, financing and renting with greater ease and confidence. Whether you're working in tech, sales, operations, or design, you’ll be part of a company reshaping an industry and helping more people make home a reality.
How we work is a key part of that transformation. Through Cloud HQ, our strategic approach to distributed work, most employees have the flexibility to work from wherever they’re most productive—enabling us to move fast, stay connected and deliver on our people promise.
Zillow is honored to be recognized among the best workplaces in the U.S. Zillow was named one of FORTUNE 100 Best Companies to Work For® in 2026, and included on TIME’s America’s Best Companies 2026 list, reflecting our commitment to creating an innovative, inclusive, and engaging culture where employees are empowered to grow.
No matter where you sit in the organization, your work will help drive innovation, support our customers, and move the industry—and your career—forward, together.
Zillow Group is an equal opportunity employer committed to fostering an inclusive, innovative environment with the best employees. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please contact your recruiter directly.
Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable state and local law.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
This passage needs a closer read in the full description.
- Location & working pattern
Remote-USA
- Lead complex, multi-team, cross-functional initiatives; align with peer technical leaders; and communicate technical direction clearly across Engineering, partner teams, and leadership This role has been categorized as a Remote position. “Remote” employees do not have a permanent corporate office workplace and, instead, work from a physical location of their choice, which must be identified to the Company. U.S. employees may live in any of the 50 United States, with limited exceptions. In California, Connecticut, Maryland, Massachusetts, New Jersey, New York, Washington state, and Washington DC the standard base pay range for this role is $209,400.00 - $334,600.00 annually. This base pay range is specific to these locations and may not be applicable to other locations.

In Colorado, Hawaii, Illinois, Maine, Minnesota, Nevada, Ohio, Rhode Island, Vermont, and Virginia the standard base pay range for this role is $199,000.00 - $317,800.00 annually. The base pay range is specific to these locations and may not be applicable to other locations.
- Work authorization
No matter where you sit in the organization, your work will help drive innovation, support our customers, and move the industry—and your career—forward, together. Zillow Group is an equal opportunity employer committed to fostering an inclusive, innovative environment with the best employees. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please contact your recruiter directly. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable state and local law.