Tanium
AI Research Scientist
$143K–$219K
Addison, TX (Hybrid) +5 · Full-time · Posted Oct 21, 2026
- Location
- Addison, TX (Hybrid)
Bellevue, WA (Hybrid)
Durham, NC (Hybrid)
Emeryville, CA (Hybrid)
Reston, VA (Hybrid)
Emeryville, CA, United States - Experience
- 1+ years in applied machine learning, data science, or AI research, or equivalent demonstrated expertise.
- Education
- Bachelor's degree in Computer Science, Mathematics, Statistics, Data Science, or a related field, or equivalent experience.
- Visa sponsorship
- Applicants 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).
About the job
Designs, prototypes, and evaluates AI and machine-learning models for endpoint management and cybersecurity products, translating research into scalable product improvements.
What you'll do
- Develop and evaluate models for use cases such as anomaly detection, threat identification, and performance optimization.
- Analyze large-scale endpoint data and contribute to data pipelines, exploratory analysis, and visualizations.
- Document research and collaborate with engineering, data science, and product teams to implement research findings.
What they ask for
- Experience developing and deploying ML models for classification, regression, or anomaly detection.
- Experience with large-scale datasets and tools and techniques for efficient processing and analysis.
- Strong foundation in machine learning, data analysis, and statistics; proficiency in Python.
- Familiarity with machine-learning frameworks and libraries such as PyTorch, scikit-learn, TensorFlow, NumPy, SciPy, and pandas.
Nice to have
- Experience in statistical modeling, anomaly detection, internals of large language models (LLMs), or agentic AI systems.
- Passion for technology, cybersecurity, and autonomous systems.
Pay
$143,000 to $219,000 USD base salary
Tools
Python, PyTorch, scikit-learn, TensorFlow, NumPy, SciPy, pandas
AI focus
Design, prototype, and evaluate AI/ML models for autonomous IT and endpoint security, including anomaly detection, threat identification, performance optimization, and predictive modeling; incorporate advances in large language models and agentic AI.
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