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Salary: USD 143,000 - 219,000 / annual
Tanium is seeking an AI Research Scientist to join its Sr. Director of AI and Applied Research, leading AI design, prototyping, and experimentation across Tanium products and solutions. You will collaborate across engineering and product teams to design, develop, and evaluate AI and ML models that power intelligent endpoint management and security solutions at enterprise scale.
Key Responsibilities:
- Collaborate with data science and engineering teams to design and implement AI and machine learning 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
- Contribute to the design and implementation of data pipelines that efficiently process and analyze endpoint data at scale
- Conduct exploratory data analyses and develop visualizations to communicate findings to technical and non-technical stakeholders
- Document research methodologies, experiments, and results to expand Tanium's internal knowledge base and support reproducibility
- Stay current with the latest advancements in AI, ML, large language models, and endpoint management technologies
- Partner with cross-functional teams to translate research findings into scalable product features and improvements
About Tanium:
Tanium is the Autonomous IT company, recognized as a Leader in the 2026 Gartner Magic Quadrant for Endpoint Management Tools and the IDC MarketScape for Client Endpoint Management Software. The company has been on the Forbes Cloud 100 list for ten consecutive years. Tanium provides real-time intelligence, agentic decision-making, and autonomous execution capabilities for IT and security operators to detect, decide, and remediate at machine speed across endpoint estates.
Requirements:
- U.S. citizenship, national, or resident status (Department of Defense requirement)
- Bachelor's degree in Computer Science, Mathematics, Statistics, Data Science, or related field, or equivalent experience
- 1+ years of experience in applied machine learning, data science, or AI research, or equivalent demonstrated expertise
- Experience developing and deploying ML models for classification, regression, or anomaly detection
- Experience working with large-scale datasets and tools/techniques to process and analyze them efficiently
- Strong foundation in machine learning, data analysis, and statistics
- Proficiency in Python
- Familiarity with ML frameworks and libraries (PyTorch, scikit-learn, TensorFlow, NumPy, SciPy, pandas)
- Strong problem-solving skills and ability to work independently and collaboratively
- Excellent written and verbal communication skills, including ability to present complex technical concepts to diverse audiences
- Preferred: Experience in statistical modeling, anomaly detection, LLM internals, or agentic AI systems; passion for technology, cybersecurity, and autonomous systems
