AI Research Intern
- 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
- 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
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