Software Engineer Intern - Machine Learning Workflow

Machine Learning Operations Intern

Halo Industries has invented a revolutionary technology to replace a decades-old semiconductor material slicing process. Our laser-based technology eliminates waste, improves material cost and performance, and drives advancements in high-growth markets like automotive, telecommunications, and power electronics. Founded in 2014 at Stanford University, Halo secured significant funding in 2024 and is poised for rapid growth, engaging strategic customers and preparing for volume manufacturing.

We are looking for a Machine Learning Operations Intern to support data preparation, labeling, training workflows, and validation processes for machine learning systems. The role focuses on executing and monitoring existing ML pipelines, organizing datasets, and helping evaluate model performance.

The intern will work with internal tools and workflows using Python and C#, with guidance from experienced engineers. This position is ideal for someone interested in practical machine learning systems and hands-on experience with real-world data workflows.

• 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.

Hands-on experience with real-world machine learning workflows.

Exposure to production ML training and validation systems.

Experience working with Python and C# in applied engineering environments.