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Real Estate Machine Learning Jobs (NOW HIRING)

Apple Bank

Real Estate Analyst

New York, NY · On-site

$80K - $95K/yr

... machine learning, data science, and analytics, coupled with a proven ability to streamline ... Knowledge of the New York metropolitan real estate market helpful. Visa sponsorship not available.

Apple Bank

Real Estate Analyst

New York, NY · Hybrid

$80K - $95K/yr

... machine learning, data science, and analytics, coupled with a proven ability to streamline ... Knowledge of the New York metropolitan real estate market helpful. Visa sponsorship not available.

Movement Real Estate

Real Estate Agent

Fullerton, CA

$175K/yr

At Movement Real Estate, we're not your typical real estate company. We're all about action and ... Working closely with our team leader will fast-track your learning curve. Are You the Right Fit?

Movement Real Estate

Real Estate Agent

Eastvale, CA

$175K/yr

At Movement Real Estate, we're not your typical real estate company. We're all about action and ... Working closely with our team leader will fast-track your learning curve. Are You the Right Fit?

Movement Real Estate

Real Estate Agent

La Habra, CA

$175K/yr

At Movement Real Estate, we're not your typical real estate company. We're all about action and ... Working closely with our team leader will fast-track your learning curve. Are You the Right Fit?

Movement Real Estate

Real Estate Agent

Corona, CA · On-site

$175K/yr

At Movement Real Estate, we're not your typical real estate company. We're all about action and ... Working closely with our team leader will fast-track your learning curve. Are You the Right Fit?

Movement Real Estate

Real Estate Agent

Riverside, CA

$175K/yr

At Movement Real Estate, we're not your typical real estate company. We're all about action and ... Working closely with our team leader will fast-track your learning curve. Are You the Right Fit?

Movement Real Estate

Real Estate Agent

Covina, CA

$175K/yr

At Movement Real Estate, we're not your typical real estate company. We're all about action and ... Working closely with our team leader will fast-track your learning curve. Are You the Right Fit?

Movement Real Estate

Real Estate Agent

Ontario, CA

$175K/yr

At Movement Real Estate, we're not your typical real estate company. We're all about action and ... Working closely with our team leader will fast-track your learning curve. Are You the Right Fit?

Movement Real Estate

Real Estate Agent

Brea, CA · On-site

$175K/yr

At Movement Real Estate, we're not your typical real estate company. We're all about action and ... Working closely with our team leader will fast-track your learning curve. Are You the Right Fit?

Windermere Real Estate

Real Estate Broker

Everett, WA · On-site

Launch your real estate career with Windermere Summit - Untouchable Training, Support, and Culture ... while learning and being mentored. A new agent needs guidance to start successfully closing ...

Windermere Real Estate

Real Estate Broker

Edmonds, WA · On-site

Launch your real estate career with Windermere Summit - Untouchable Training, Support and Culture ... while learning and being mentored. A new agent needs guidance to start successfully closing ...

Windermere Real Estate

Real Estate Broker

Monroe, WA · On-site

Launch your real estate career with Windermere Summit - Untouchable Training, Support, and Culture ... while learning and being mentored. A new agent needs guidance to start successfully closing ...

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All JobsTechnology JobsData JobsData Scientist JobsReal Estate Machine Learning Jobs

Real Estate Machine Learning information

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$31

How much do real estate machine learning jobs pay per hour?

As of Aug 25, 2026, the average hourly pay for real estate machine learning in the United States is $22.82, according to ZipRecruiter salary data. Most workers in this role earn between $19.71 and $25.48 per hour, depending on experience, location, and employer.

What is real estate machine learning?

Real Estate Machine Learning refers to the use of artificial intelligence and data-driven algorithms to analyze real estate data, predict market trends, assess property values, and streamline various processes in the real estate industry. By leveraging large datasets, machine learning models can identify patterns and insights that help agents, investors, and developers make better decisions. Applications include price prediction, fraud detection, property recommendation, and optimizing investment strategies. These technologies are revolutionizing how real estate professionals operate and provide services to clients.

What are the key skills and qualifications needed to thrive in real estate machine learning?

To thrive in Real Estate Machine Learning, you need strong skills in data analysis, machine learning algorithms, and a solid understanding of real estate markets, typically supported by a degree in computer science, data science, or a related field. Experience with programming languages like Python or R, proficiency in machine learning frameworks such as TensorFlow or scikit-learn, and familiarity with property data management systems are commonly required. Critical thinking, effective communication, and problem-solving abilities help professionals translate complex data into actionable insights for stakeholders. These skills ensure accurate modeling, better decision-making, and innovative solutions in the competitive real estate industry.

How does a real estate machine learning professional typically collaborate with other departments within a real estate firm?

A Real Estate Machine Learning professional often works closely with various teams such as data engineering, property management, marketing, and sales. Collaboration usually involves gathering and cleaning property data, understanding business needs from stakeholders, and presenting predictive insights to non-technical team members. You might find yourself explaining model outputs to executives or helping marketing teams identify target demographics. Effective communication and the ability to translate technical findings into actionable business strategies are key to success in this role.

What is the difference between Real Estate Machine Learning vs Real Estate Data Analyst?

AspectReal Estate Machine LearningReal Estate Data Analyst
Required CredentialsBackground in data science, machine learning, programming (Python, R)Background in data analysis, statistics, real estate knowledge
Work EnvironmentTech-focused teams, data-driven projects, software developmentReal estate firms, market research, reporting and visualization
Industry UsageDeveloping predictive models, automating valuation, property recommendationsAnalyzing market trends, preparing reports, supporting decision-making

Real Estate Machine Learning specialists focus on building predictive models and automating processes using advanced algorithms, often requiring programming skills. In contrast, Real Estate Data Analysts interpret data, generate reports, and support strategic decisions with statistical tools. Both roles are vital in the real estate industry but serve different functions based on technical complexity and focus.

Infographic showing various Real Estate Machine Learning job openings in the United States as of August 2026, with employment types broken down into 83% Full Time, 11% Part Time, and 6% Contract. Highlights an 100% In-person job distribution, with an average salary of $47,468 per year, or $22.8 per hour.

Real Estate Analyst

Apple Bank

New York, NY • On-site

$80K - $95K/yr

Full-time

Posted 8 days ago

Job description

New York, NY (Hybrid)
Salary Range: $80,000 - $95,000
The Commercial Real Estate (CRE) Data Analyst supports Apple Bank's Real Estate Valuation & Advisory Division (REVAD), Commercial Mortgage Division (CMD), and other internal stakeholders by delivering data-driven analysis of real estate, financial, and market information. This position develops actionable insights, prepares analytical reports, conducts market research, and leverages data and AI-enabled tools to support valuation, underwriting, portfolio monitoring, risk management, due diligence, and informed business decisions.
ESSENTIAL DUTIES & RESPONSIBILITIES
  • Develop AI-enabled workflows to enhance property financial statement analysis and due diligence processes.
  • Conduct annual debt service coverage reviews.
  • Prepare and maintain recurring administrative and portfolio reporting.
  • Analyze market conditions, industry trends, and economic factors affecting portfolio performance.
  • Perform property inspections as required to support portfolio monitoring.
  • Support commercial real estate loan underwriting and credit analysis activities.
  • Maintain accurate portfolio data and support mortgage due diligence and administrative functions.
  • Conduct annual reviews of commercial mortgage-backed securities (CMBS).
  • Fulfill additional duties and special projects as assigned.

SKILLS, EDUCATION, & EXPERIENCE
  • Bachelor's degree in a related field of study preferred.
  • 2 + years of relevant experience in a comparable position.
  • Advanced knowledge of AI technologies, including prompt engineering, agent-based automation, machine learning, data science, and analytics, coupled with a proven ability to streamline processes and deliver business insights.
  • Argus Enterprise experience highly desired,
  • Strong command of Microsoft Excel, Power BI, Word.
  • Effective interpersonal, verbal, and written communication skills.
  • Knowledge of the New York metropolitan real estate market helpful.

Visa sponsorship not available.
We are an equal opportunity employer and do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, military and/or veteran status, or any other Federal or State legally-protected classes.

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