Applied Machine Learning Intern

At Realty Income, The Monthly Dividend Company®, our internship program offers more than just work experience—it’s an opportunity to discover purpose, build meaningful connections, and unlock your professional potential.

Purpose. As an intern, you’ll contribute to the mission that drives everything we do: delivering dependable value to our shareholders, colleagues, and communities. You’ll work on impactful projects that align with our business strategy and support our purpose of doing the right thing, taking ownership, empowering each other, and giving more than we take.

Connection. Throughout the summer, you’ll collaborate with professionals across departments, gaining mentorship and insights from leaders who are passionate about your growth. You’ll join a community built on trust, inclusion, and teamwork—because we believe success is achieved together.

Opportunity. This 10-week program is designed to accelerate your learning and career exploration. You’ll gain hands-on experience in a publicly-traded, global real estate investment trust while developing the skills, confidence, and relationships that can shape your future.

Join us from June 17 to August 24, 2026, and experience what it means to build a meaningful career rooted in purpose, strengthened by connection, and driven by opportunity.

Realty Income is looking for an Applied Machine Learning Intern to join our in-house Predictive Analytics team for the summer of 2026. In this role, you will join the Predictive Analytics team to support the development, validation, and optimization of machine learning models across the full data science lifecycle—from data preprocessing to deployment. This internship offers a unique opportunity to apply theoretical knowledge to real-world projects, gaining hands-on experience in the rapidly evolving field of machine learning and data science.

What You Will Be Working On

• Contribute to building and refining industry-tailored ML models and extracting actionable insights that inform business decisions.
• Collaborate in a modern analytics ecosystem, working with Databricks to engineer data pipelines, develop features, and train models using Spark and integrated MLflow tracking.
• Analyze and interpret data by applying statistical and exploratory data analysis techniques to uncover insights, trends, and patterns that drive business decisions.
• Research emerging AI platforms, large language models (LLMs) as well as other advanced technologies to help inform strategic decisions and advance Enterprise AI initiatives.
• Develop predictive and prescriptive models by experimenting with supervised and unsupervised learning methods, validating performance, and communicating findings with actionable recommendations.
• Visualize and communicate insights by creating clear, compelling dashboards and reports in tools such as Power BI, Tableau, or Plotly that inform key business metrics.
• Contribute to data pipeline development by supporting data ingestion, transformation, and validation processes that ensure high data quality and consistency across projects.
• Collaborate across disciplines by working closely with machine learning engineers, developers, and business stakeholders to translate analytical needs into production-ready models and dashboards.
• Ensure code quality through Git version control and by creating unit and integration tests that maintain standards for reliability, traceability, and collaboration.
• Support data access and governance by assisting in improving data documentation and maintaining compliance with internal data management practices.
• Contribute to team initiatives by providing analytical and technical support on department-wide projects and prototypes.
  
  

What You Need To Be Successful

We are looking for a student who will be a rising senior during the summer of 2026, pursuing a degree in Computer Science, Data Science, Information Technology, Software Engineering, Machine Learning, or related field with a minimum GPA of 3.5 to join our Predictive Analytics and Insights team with a focus on building advanced analytics platforms.

• Solid foundation and programming experience in Python, SQL, and Spark.
• Practical experience with core ML and data libraries such as pandas, scikit-learn, and PySpark.
• Experience using Git-based version control (GitHub or Azure DevOps).
• Understanding of data structures, data modeling, and software architecture.
• Familiarity with cloud computing platforms such as Azure or AWS.
• Critical thinker with the ability to synthesize complex information and conceptualize solutions.
• Ability to foster strong, collaborative relationships and communicate effectively at all levels.
• A team player who displays self-confidence, encourages collaboration.
• Demonstrated integrity and commitment to the highest ethical standards and personal values.
• Self-motivation and initiative to organize and prioritize work.
  
  

This is a hybrid role with Tuesday, Wednesday, and Thursday required in-office.

The hourly compensation for this role is in the range of $21.00 - $25.00. Hourly rate determined by the candidate's skills, experience, knowledge, education, and abilities.

Realty Income is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. If you require accessibility support to submit your application or other reasonable accommodations to participate in the recruitment process, please contact talent@realtyincome.com, or call 800-375-6700. An employee will respond to your message to begin the interactive process. Please note that this phone number and email address are only for individuals seeking a disability accommodation when applying for a job.