Realty Income Corporation · 3 weeks ago
Applied Machine Learning Intern
Realty Income Corporation is a publicly-traded, global real estate investment trust looking for an Applied Machine Learning Intern to join their Predictive Analytics team for the summer of 2026. In this internship, you will support the development, validation, and optimization of machine learning models, gaining hands-on experience in the field of machine learning and data science.
Financial ServicesReal EstateReal Estate Investment
Responsibilities
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
Qualification
Required
Pursuing a degree in Computer Science, Data Science, Information Technology, Software Engineering, Machine Learning, or related field
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
Company
Realty Income Corporation
Realty Income, The Monthly Dividend Company®, is an S&P 500 company and member of the S&P 500 Dividend Aristocrats® index.
H1B Sponsorship
Realty Income Corporation has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1)
2023 (1)
2022 (2)
Funding
Current Stage
Public CompanyTotal Funding
$23B2026-01-06Post Ipo Debt· $862.5M
2025-11-18Post Ipo Debt· $1.04B
2025-09-25Post Ipo Debt· $800M
Leadership Team
Recent News
2026-01-09
2026-01-06
Company data provided by crunchbase