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Tanium · 6 hours ago

AI Research Intern

Durham, NC

Internship

Hybrid

Intern

$55/hr - $60/hr

Tanium is seeking an AI Research Scientist Intern for Summer 2026, reporting to the Staff Data Scientist. The intern will work on real-world problems and contribute to building intelligent systems for autonomous IT across various domains.

AnalyticsCyber SecurityData Collection and LabelingEnterprise SoftwareInformation TechnologySaaSSecurity

Comp. & Benefits

No H1B

Responsibilities

Collaborate with data science and engineering teams to design and implement AI and machine learning (ML) algorithms that improve Tanium’s autonomous IT capabilities

Develop and evaluate ML models across a wide variety of use cases, including anomaly detection, threat identification, and performance optimization

Analyze large-scale endpoint data to extract meaningful insights and develop predictive models

Assist in building data pipelines to efficiently process and analyze endpoint data at scale

Conduct exploratory data analyses and visualizations to communicate findings and inform product development decisions

Document research, methodologies, and results to contribute to Tanium’s knowledge base

Stay up to date with the latest advancements in AI, ML, and endpoint management technologies

Qualification

Machine LearningData AnalysisPythonLarge DatasetsAI FrameworksPassion for TechnologyProblem-SolvingCommunication Skills

Required

Strong foundation in machine learning, data analysis, and statistics

Proficiency in Python

Familiarity with machine learning frameworks and libraries (e.g., PyTorch, scikit-learn, TensorFlow, numpy, scipy, pandas)

Experience working with large datasets

Knowledge in one or more of the following areas: Statistics, Anomaly detection, Machine learning (classification/regression), Internals of large language models (LLMs), Agentic AI

Strong problem-solving skills and the ability to work independently and collaboratively

Excellent communication skills and the ability to present complex ideas clearly

Passion for technology, cybersecurity, and autonomous systems

Authorized to work in the U.S. now and in the future

Available to work full-time from June 8, 2024 to August 14, 2025

A currently enrolled Master's/ PhD degree candidate ideally studying Statistics, Machine Learning, or a related field with a 3.5+ GPA

Graduating Spring 2027 or Fall 2026