Software Engineer Intern - Machine Learning Workflow

The CompanyHalo 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 OpportunityWe 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.

ResponsibilitiesLabel and organize datasets for machine learning workflowsRun and monitor training and validation pipelinesAssist with evaluating model outputs and identifying data quality issuesUse Python and C# tools to support ML-related workflows and automationHelp troubleshoot pipeline failures and data inconsistenciesDocument datasets, experiments, and validation resultsCollaborate with engineers to improve workflow efficiency and reliabilityWhat This Role OffersHands-on experience with real-world machine learning workflowsExposure to production ML training and validation systemsExperience working with Python and C# in applied engineering environmentsRequirementsBasic QualificationsCurrently pursuing or a recent graduate with a Bachelors in Software Engineering, Computer Science, Computer Engineering, or related fieldBasic programming experience in Python or C#Experience working with structured workflows and large datasetsProficiency to debug simple technical issues and follow documented processesPreferred QualificationsCurrently pursuing or a recent graduate with a Masters in Software Engineering, Computer Science, Computer Engineering, or related fieldExposure to machine learning concepts or workflowsFamiliarity with Git or collaborative development toolsExperience working with datasets, annotation tools, or automation scriptsBenefitsSalary Range : 20 - 30 USD per hour.