Software Engineer Intern - Machine Learning Workflow

Halo Industries, Inc.; Santa Clara (CA); On-site; USD 28,000 - 41,000; Full time

Benefits offered by this job

Competitive hourly pay

Job summary

Halo Industries, Inc. is seeking a Machine Learning Operations Intern in Santa Clara, CA to support data preparation, labeling, training workflows, and validation processes for ML systems.

You will work with Python and C# tools under guidance from experienced engineers, gaining hands-on exposure to real-world data pipelines. The role emphasizes practical ML systems experience, dataset organization, and collaboration with engineers to ensure reliable workflows and quality data throughout model

Qualifications

• Pursuing or 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.
• Ability to debug simple technical issues and follow documented processes.

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.

Skills

Python

C#

Data workflows

Debugging

Education

Bachelor's degree in Software Engineering / CS / CE

Master's degree in Software Engineering / CS / CE

Tools

Git

Annotation tools

Job description

The Company

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.

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.