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.
The Opportunity
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.
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
What This Role Offers
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
Requirements
Basic Qualifications
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
Preferred Qualifications
Currently pursuing or a recent graduate with a Master`s in Software Engineering, Computer Science, Computer Engineering, or related field
Exposure to machine learning concepts or workflows
Familiarity with Git or collaborative development tools
Experience working with datasets, annotation tools, or automation scripts
Benefits
Salary Range : 20 - 30 USD per hour.
Seniority level
Internship
Employment type
Temporary
Job function
Engineering
Industries
IT Services and IT Consulting
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