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.

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.
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.
In accordance with Department of Defense requirements, applicants for this role must be a U.S. citizen, national, or resident pursuant to 8 U.S.C. 1101(a)(20) and 8 U.S.C. 1324b(a)(3).

AI Research Intern

Key skills