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Tanium

AI Research Intern

Durham, NC (Hybrid) Full Time

The Basics

Tanium is seeking an AI Research Scientist Intern for Summer 2026. This role reports to our Staff Data Scientist leading AI design, prototyping, and experimentation across Tanium products and solutions. As an AI Research Scientist Intern, you will have the opportunity to work on challenging real-world problems, gain hands-on experience, and contribute to building intelligent systems that will shape the future of autonomous IT across endpoint management, exposure management, and security operations.  

This is a hybrid position, which will require in person attendance several days each week in Durham, NC OR Emeryville, CA. 

The hourly rate for this internship is $55 to $60 per hour. This hourly rate is an estimate for what Tanium will pay an intern. The actual rate offered may be adjusted based on a variety of factors, including but not limited to, education, skills, training, and experience. In addition to an hourly rate, interns will be eligible for a housing stipend, 401k matching, and a monthly allowance for communications reimbursement.    

 What you’ll do

  • 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.  

 We’re looking for someone with

  • 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. 

Other qualifications: