Software Engineer Intern - Machine Learning Workflow

Responsibilities

• Label and organize datasets for machine learning workflows
• Run and monitor training and validation pipelines
• Assist with evaluating model outputs and identifying data quality issues
• Use Python and C# tools to support ML-related workflows and automation
• Help troubleshoot pipeline failures and data inconsistencies
• Document datasets, experiments, and validation results
• Collaborate with engineers to improve workflow efficiency and reliability

Requirements

• Currently pursuing or a recent graduate with a Bachelor’s in Software Engineering, Computer Science, Computer Engineering, or related field
• Basic programming experience in Python or C#
• Experience working with structured workflows and large datasets
• Proficiency to debug simple technical issues and follow documented processes
• Currently pursuing or a recent graduate with a Master’s in Software Engineering, Computer Science, Computer Engineering, or related field (preferred)
• Exposure to machine learning concepts or workflows
• Familiarity with Git or collaborative development tools (preferred)
• Experience working with datasets, annotation tools, or automation scripts (preferred)