Machine Learning Operations & Data Engineering Intern

At Realty Income The Monthly Dividend Company our internship program offers more than just work experienceits an opportunity to discover purpose build meaningful connections and unlock your professional potential.

Purpose. As an intern youll contribute to the mission that drives everything we do: delivering dependable value to our shareholders colleagues and communities. Youll 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 youll collaborate with professionals across departments gaining mentorship and insights from leaders who are passionate about your growth. Youll join a community built on trust inclusion and teamworkbecause we believe success is achieved together.

Opportunity. This 10-week program is designed to accelerate your learning and career exploration. Youll 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 a Machine Learning Operations & Data Engineering Intern to join our in-house Predictive Analytics team for the summer of 2026. In this role you will be responsible for collaborating with the Predictive Analytics team to build validate and optimize machine learning models contributing to the entire development lifecycle from data preprocessing to model 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:

• Collaborate in a modern analytics ecosystem working with Databricks to engineer data pipelines develop features and train models using Spark and integrated MLflow tracking.
• Develop and implement machine learning solutions by building validating and optimizing predictive models.
• Design robust data workflows by contributing to the creation and maintenance of data ingestion transformation and validation processes that ensure integrity and reliability.
• Build reusable analytics components including modular code reusable pipelines and shared feature libraries to accelerate model development.
• Monitor and improve performance by analyzing system and model efficiency identifying bottlenecks and implementing solutions.
• Collaborate across disciplines by working closely with data scientists engineers 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 Information Technology Software Engineering Machine Learning or related field with a minimum GPA of 3.5.

• 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 candidates 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 or call . 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.