Intern, Artificial Intelligence

L3Harris Technologies

. Work closely with current team members to support development of machine learning solutions using data-driven models .

Posted 10/2/2026internshipUnited StatesEntry Level💰 $23 - $41 per hourWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing machine learning solutions, optimizing MLOps, and managing data pipelines. Proficient in utilizing advanced programming libraries and maintaining infrastructure for machine learning models.

Highest-signal resume keywords

Machine Learning Model DevelopmentMLOps OptimizationData Pipeline ManagementDifferentiable Programming LibrariesDatabase Manipulation Libraries

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningData CurationExploratory Data AnalysisRegression TestingModel ValidationPythonContainerizationVirtual EnvironmentsClassical Machine LearningState-of-the-Art Machine Learning

Tools & Technologies

PyTorchTensorFlowSQLNoSQLPandasPySparkCondaDocker

Industry Keywords

Artificial IntelligenceComputer EngineeringComputer ScienceMathematicsData-Driven ModelsPre-Trained ModelsFoundation ModelsAI Solutions

Tech Stack

Tools & technologies

DockerNoSQLPandasPySparkPythonPyTorchSQLTensorflow

About the role

Key responsibilities & impact

Work closely with current team members to support development of machine learning solutions using data-driven models
Contribute to improvement of MLOps and data pipelines
Work with multi-domain datasets and phenomenologies to develop effective data plans
Perform data curation and exploratory data analysis
Support regression testing, validation, and documentation of ML models
Identify relevant pre-trained models and collaborate with the team to integrate them into solution pipelines
Identify state-of-the-art foundation models and advocate for their use in larger AI solutions
Implement, maintain, and optimize containerization for deployment, scaling, and reproducibility of AI/ML workloads

Requirements

What you’ll need

Pursuing a Master’s Degree in Artificial Intelligence, Computer Engineering, Computer Science, Mathematics, or related technical degree at an accredited university
Experience with Differentiable Programming libraries (e.g., PyTorch, TensorFlow) preferred
Experience with Database Manipulation libraries (e.g., SQL, NoSQL, Pandas, PySpark) preferred
Experience with Python and building Virtual Environments (e.g., Conda, UV, Docker) preferred
Experience developing models using classical and state-of-the-art Machine Learning preferred
Experience maintaining training and inference infrastructure for ML models preferred

Benefits

Comp & perks

Health and disability insurance
401(k) match
Flexible spending accounts
Employee Assistance Program (EAP)
Education assistance
Parental leave
Paid time off
Company-paid holidays
9/80 schedule with every other Friday off