Senior Machine Learning Engineer, Rich Media Experiences
for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). They gave examples but we can use other headings if content matches. They say: include a section ONLY when the posting has real, specific content for it — never emit a heading followed by filler/placeholder text. Also do NOT repeat the job title as a heading (the page already shows it) and do NOT put Job ID / requisition numbers as headings — fold minor metadata into a short
or drop it. We need to parse the posting: It includes sections: About The Team, About The Role, You Will Get To: (list of responsibilities), This role has been categorized as a Remote position. (metadata), Pay ranges (specific to locations), Who you are (qualifications/requirements), Experience..., Get to know us (company description), How we work..., Zillow is honored..., Zillow Group is an equal opportunity employer... (EEO boilerplate to remove), Los Angeles County applicants: ... (maybe we can keep as part of responsibilities? It's specific location legal stuff; but it's likely boilerplate/legal; we should remove cookie/navigation/legal/EEO/equal-opportunity/scam-warning boilerplate. The Los Angeles County specifics might be considered legal boilerplate; but it's specific to LA County applicants; still likely legal. Probably remove. We need to keep substantive info: About The Team, About The Role, Responsibilities (You Will Get To), Qualifications/Requirements (Who you are), Pay (salary ranges), Benefits? Not mentioned besides equity awards eligibility; we could include Benefits section if there is mention of equity awards. The posting says: "In addition to a competitive base salary this position is also eligible for equity awards based on factors such as experience, performance and location." That's a benefit (equity). So we can include Benefits section with that. Schedule? Not mentioned besides Remote position; maybe we could include Schedule as Remote? But they said only include if posting actually states them. It mentions remote position description; that could be considered schedule/location. Could create a Schedule section with remote work details. However they said prefer a few substantive sections over many thin ones. Might combine remote info into About the Role or a separate section? The instructions list possible headings: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. We can choose which to include. We have About The Team (could be considered About the role? Actually About The Team is separate; we could make a section About the team using
About the Team
. That's allowed as a heading (not in examples but likely okay). They said use for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). The "e.g." suggests those are examples but not exclusive. So we can use About the Team.
We need to avoid filler. We'll produce sections:
About the Team
with paragraph(s) from About The Team.
About the Role
with paragraph(s) from About The Role (the paragraph after About The Role heading until "You Will Get To:" maybe). Actually About The Role includes a paragraph describing high-impact senior individual contributor role etc. We'll include that.
Then responsibilities: Responsibilities
with - items from "You Will Get To:" list.
Then qualifications/requirements: maybe
Qualifications
or Requirements
. The "Who you are" section lists qualifications. We'll use Qualifications
with - items.
Then Benefits:
Benefits
with paragraph about equity awards.
Pay: Pay
with paragraph(s) about base pay ranges for specific locations. We need to preserve all substantive info: the ranges for CA, CT, MD, MA, NJ, NY, WA, DC; and for CO, HI, IL, ME, MN, NV, OH, RI, VT, VA. Also note that base pay range is specific to these locations and may not be applicable to other locations. Also mention that employees will not be paid below the salary threshold for exempt employees in the state where they reside. Also mention that actual amounts will vary depending on experience, performance and location. Also mention that In addition to a competitive base salary this position is also eligible for equity awards... but that's benefits.
We should not include filler like "commensurate with experience". Not present.
Schedule: maybe we can include remote work details: "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." That's substantive. Could be Schedule section. We'll include Schedule
with that paragraph.
We must remove boilerplate: EEO, equal opportunity, legal, etc. Also remove "Get to know us", "How we work", "Zillow is honored...", "Zillow Group is an equal opportunity employer..." etc. Also remove Los Angeles County applicants specifics (legal). Also remove any navigation/cookie etc.
We need to preserve all substantive information: The company description paragraphs about Zillow reimagining how people move, most-visited real estate platform, Cloud HQ, etc. Are those substantive? They are about the company; could be considered "About the company" but not listed as a heading. Could we include a section "About Zillow"? Not in examples but could be okay. However they said prefer a few substantive sections over many thin ones. The company description may be considered filler but it's substantive about the company. Might be okay to include as a section "About Zillow". But the instructions only gave examples; not strict. However to be safe, we could incorporate that into About the Role or About the Team? It's not about team or role. Might be better to include a section "About Zillow". But the instruction says "use for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule)". It doesn't forbid other headings. So we can add About Zillow.
But we need to decide: The posting includes "Get to know us At Zillow, we’re reimagining how people move—through the real estate market and through their careers..." etc. That's substantive. We'll include a section About Zillow
with that paragraph(s) until before "How we work". Then "How we work is a key part of that transformation..." etc. That's also substantive about work model. Could be part of About Zillow or separate section "How We Work". But to keep sections few, we could combine into About Zillow.
But we also have "Zillow is honored to be recognized among the best workplaces in the U.S." etc. That's also about company accolades. Could be part of About Zillow.
Thus we could have About Zillow section covering all those paragraphs.
We must ensure we don't include EEO boilerplate.
Now produce HTML fragment.
Structure:
About the Team
...
About the Role
...
Responsibilities
- Design, build, and operate production-grade machine learning systems that move from early ideas and prototypes into reliable customer-facing services.
- Lead end-to-end machine learning work spanning data, training, evaluation, deployment, observability, and iteration in production.
- Partner closely with applied scientists and software engineers across backend, web, and mobile to integrate modern machine learning techniques into Zillow experiences.
- Improve the quality, latency, reliability, and maintainability of machine learning workflows that support floor plan and rich media products.
- Drive technical decisions in ambiguous problem spaces, especially where structured inference, computer vision, spatial signals, or performance tradeoffs matter.
- Help establish shared patterns, tooling, and best practices that raise the bar for machine learning engineering across the team.
- Mentor peers through strong technical execution, code review, debugging discipline, and thoughtful communication across functions.
Qualifications
- Significant professional experience building and shipping machine learning models or ML-powered systems in production.
- Strong hands-on proficiency in Python and at least one modern machine learning framework, such as PyTorch or TensorFlow.
- Experience building and operating end-to-end machine learning workflows, including data pipelines, model training, evaluation, deployment, and monitoring.
- Strong foundation in machine learning fundamentals such as representation learning, structured prediction, computer vision, optimization, and failure analysis.
- Comfortable debugging model and system behavior in real-world environments and using metrics, logs, and experiments to improve outcomes.
- Collaborate effectively with applied scientists, software engineers, and product partners in ambiguous, cross-functional settings.
- Strong engineering judgment and know how to balance experimentation with reliability, speed, and long-term maintainability.
- Communicate technical ideas clearly and can influence decisions across disciplines.
- Experience in computer vision, spatial data, 3D, AR/VR, mapping, search, recommendation systems, or related domains is a plus.
- We value the experience and perspective of candidates with non-traditional backgrounds; transferable skills or related experiences are encouraged.
Benefits
In addition to a competitive base salary this position is also eligible for equity awards based on factors such as experience, performance and location.
Pay
The standard base pay range for this role is $171,700.00 - $274,300.00 annually for employees residing in California, Connecticut, Maryland, Massachusetts, New Jersey, New York, Washington state, and Washington DC. For employees residing in Colorado, Hawaii, Illinois, Maine, Minnesota, Nevada, Ohio, Rhode Island, Vermont, and Virginia the standard base pay range is $163,200.00 - $260,600.00 annually. These ranges are specific to the listed locations and may not be applicable to other locations. Employees will not be paid below the salary threshold for exempt employees in the state where they reside. Actual amounts will vary depending on experience, performance and location.
Schedule
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.
About Zillow
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. Z
Qualifications
orRequirements
. The "Who you are" section lists qualifications. We'll useQualifications
with- items.
Then Benefits:
Benefits
with paragraph about equity awards. Pay:Pay
with paragraph(s) about base pay ranges for specific locations. We need to preserve all substantive info: the ranges for CA, CT, MD, MA, NJ, NY, WA, DC; and for CO, HI, IL, ME, MN, NV, OH, RI, VT, VA. Also note that base pay range is specific to these locations and may not be applicable to other locations. Also mention that employees will not be paid below the salary threshold for exempt employees in the state where they reside. Also mention that actual amounts will vary depending on experience, performance and location. Also mention that In addition to a competitive base salary this position is also eligible for equity awards... but that's benefits. We should not include filler like "commensurate with experience". Not present. Schedule: maybe we can include remote work details: "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." That's substantive. Could be Schedule section. We'll includeSchedule
with that paragraph. We must remove boilerplate: EEO, equal opportunity, legal, etc. Also remove "Get to know us", "How we work", "Zillow is honored...", "Zillow Group is an equal opportunity employer..." etc. Also remove Los Angeles County applicants specifics (legal). Also remove any navigation/cookie etc. We need to preserve all substantive information: The company description paragraphs about Zillow reimagining how people move, most-visited real estate platform, Cloud HQ, etc. Are those substantive? They are about the company; could be considered "About the company" but not listed as a heading. Could we include a section "About Zillow"? Not in examples but could be okay. However they said prefer a few substantive sections over many thin ones. The company description may be considered filler but it's substantive about the company. Might be okay to include as a section "About Zillow". But the instructions only gave examples; not strict. However to be safe, we could incorporate that into About the Role or About the Team? It's not about team or role. Might be better to include a section "About Zillow". But the instruction says "usefor section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule)". It doesn't forbid other headings. So we can add About Zillow. But we need to decide: The posting includes "Get to know us At Zillow, we’re reimagining how people move—through the real estate market and through their careers..." etc. That's substantive. We'll include a section
About Zillow
with that paragraph(s) until before "How we work". Then "How we work is a key part of that transformation..." etc. That's also substantive about work model. Could be part of About Zillow or separate section "How We Work". But to keep sections few, we could combine into About Zillow. But we also have "Zillow is honored to be recognized among the best workplaces in the U.S." etc. That's also about company accolades. Could be part of About Zillow. Thus we could have About Zillow section covering all those paragraphs. We must ensure we don't include EEO boilerplate. Now produce HTML fragment. Structure:About the Team
...
About the Role
...
Responsibilities
- Design, build, and operate production-grade machine learning systems that move from early ideas and prototypes into reliable customer-facing services.
- Lead end-to-end machine learning work spanning data, training, evaluation, deployment, observability, and iteration in production.
- Partner closely with applied scientists and software engineers across backend, web, and mobile to integrate modern machine learning techniques into Zillow experiences.
- Improve the quality, latency, reliability, and maintainability of machine learning workflows that support floor plan and rich media products.
- Drive technical decisions in ambiguous problem spaces, especially where structured inference, computer vision, spatial signals, or performance tradeoffs matter.
- Help establish shared patterns, tooling, and best practices that raise the bar for machine learning engineering across the team.
- Mentor peers through strong technical execution, code review, debugging discipline, and thoughtful communication across functions.
Qualifications
- Significant professional experience building and shipping machine learning models or ML-powered systems in production.
- Strong hands-on proficiency in Python and at least one modern machine learning framework, such as PyTorch or TensorFlow.
- Experience building and operating end-to-end machine learning workflows, including data pipelines, model training, evaluation, deployment, and monitoring.
- Strong foundation in machine learning fundamentals such as representation learning, structured prediction, computer vision, optimization, and failure analysis.
- Comfortable debugging model and system behavior in real-world environments and using metrics, logs, and experiments to improve outcomes.
- Collaborate effectively with applied scientists, software engineers, and product partners in ambiguous, cross-functional settings.
- Strong engineering judgment and know how to balance experimentation with reliability, speed, and long-term maintainability.
- Communicate technical ideas clearly and can influence decisions across disciplines.
- Experience in computer vision, spatial data, 3D, AR/VR, mapping, search, recommendation systems, or related domains is a plus.
- We value the experience and perspective of candidates with non-traditional backgrounds; transferable skills or related experiences are encouraged.
Benefits
In addition to a competitive base salary this position is also eligible for equity awards based on factors such as experience, performance and location.
Pay
The standard base pay range for this role is $171,700.00 - $274,300.00 annually for employees residing in California, Connecticut, Maryland, Massachusetts, New Jersey, New York, Washington state, and Washington DC. For employees residing in Colorado, Hawaii, Illinois, Maine, Minnesota, Nevada, Ohio, Rhode Island, Vermont, and Virginia the standard base pay range is $163,200.00 - $260,600.00 annually. These ranges are specific to the listed locations and may not be applicable to other locations. Employees will not be paid below the salary threshold for exempt employees in the state where they reside. Actual amounts will vary depending on experience, performance and location.
Schedule
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.
About Zillow
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. Z