Machine Learning Engineer Intern

At Moody's, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are—with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody’s is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we’re advancing AI to move from insight to action—enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence.

If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. 

Skills and Competencies

• Experience with Python language
• Understanding of cloud technologies (AWS S3 or Google Cloud buckets)
• Familiarity with Unix/Linux and file systems
• Understanding of engineering processes and agile principles
• Self-motivated, proactive problem-solver
• Clear communicator, able to document and share progress
• Experience with Git or other version control systems
• Basic understanding of artificial intelligence concepts, with curiosity and enthusiasm for learning how AI tools can be used to improve processes and drive efficiency. Interest in exploring AI systems and a willingness to develop awareness of responsible AI practices, including risk management and ethical use

Preferred Experience:

• Managing Docker containers
• Working in remote Linux environments
• QA automation and regression/integration testing
• Experience with Databricks and software development

Education

• Pursuing a degree in Machine Learning, Computer Engineering, Computer Science, Mathematics, Data Analytics, Business Intelligence, Finance, Financial Engineering, Statistics, or a related subject
• Ideally one year ahead of graduation

Responsibilities

• Support the development and automation of DevOps pipelines for machine learning model training and deployment
• Work with team members to understand, test, and finetune machine learning models
• Improve and automate testing and finetuning procedures for ML workflows
• Manipulate data for model training and evaluation, including handling JSON formats
• Store and manage data in AWS S3 and Databricks environments
• Enhance the platform to support new tools and features
• Document and share progress using Confluence and JIRA tickets
• Prepare presentations and final reports on project outcomes

About the Team

Our Machine Learning Engineering team is responsible for building and maintaining the infrastructure and workflows that power Moody’s AI-driven solutions. By joining our team, you will contribute to the development of robust, scalable platforms and help drive the adoption of responsible AI practices across the organization. You’ll be part of a collaborative environment focused on innovation, operational excellence, and continuous learning

Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law.

Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody’s Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.