Tanium AI Research Scientist at Tanium designs, develops, and evaluates AI and ML models for intelligent endpoint management and security solutions. Collaborates with engineering and product teams to translate research into scalable features.
Responsibilities
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.
Contribute to the design and implementation of data pipelines that efficiently process and analyze endpoint data at scale.
Conduct exploratory data analyses and and develop visualizations to communicate findings (to technical and non-technical stakeholders) and inform product development decisions.
Document research methodologies, experiments, and results to expand Tanium's internal knowledge base and support reproducibility.
Stay up to date with the latest advancements in AI, ML, and endpoint management technologies.
Monitor and incorporate the latest advancements in AI, ML, large language models, and endpoint management technologies into ongoing research efforts
Partner with cross-functional teams to translate research findings into scalable product features and improvements.
We’re looking for someone with
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)
Bachelor's degree in Computer Science, Mathematics, Statistics, Data Science, or a related field, or equivalent experience.
Qualification
Bachelor's degree in Computer ScienceExperience in statistical modelingExperience in anomaly detectionExperience with agentic AI systems
Required
U.S. citizen, national, or resident as per DoD requirements
Bachelor's degree in Computer Science, Mathematics, Statistics, Data Science, or related field
1+ years experience in applied machine learning, data science, or AI research
Experience developing and deploying ML models for classification, regression, or anomaly detection
Experience working with large-scale datasets
Preferred
Experience in statistical modeling
Experience in anomaly detection
Experience with internals of large language models (LLMs)
