AI Research Scientist Addison, TX; Hybrid); Bellevue, WA; Hybrid); Durham, NC; Hybrid); Emeryville, CA; Hybrid

Addison, TX (Hybrid);
Bellevue, WA (Hybrid);
Durham, NC (Hybrid);
Emeryville, CA (Hybrid);
Reston, VA (Hybrid)

Tanium is seeking an AI Research Scientist. This role reports to our Sr. Director AI and Applied Research leading AI design, prototyping, and experimentation across Tanium products and solutions. As an AI Research Scientist, 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. This is an exciting opportunity to work at the intersection of cutting-edge AI research and real-world cybersecurity applications at enterprise scale.

This position follows the Company’s hybrid schedule which currently requires employees to work in the office at one of the following locations a minimum of three days per week:
Addison, TX;
Bellevue, WA;
Durham, NC;
Emeryville, CA; or Reston, VA.

• 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.

• 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)
• Education
  • Bachelor's degree in Computer Science, Mathematics, Statistics, Data Science, or a related field, or equivalent experience.
• 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 tasks such as classification, regression, or anomaly detection
  • Experience working with large-scale datasets and the tools and techniques required to process and analyze them efficiently
  • Experience in one or more of the following areas preferred: statistical modeling, anomaly detection, internals of large language models (LLMs), or agentic AI systems
• Other
  • Strong foundation in machine learning, data analysis, and statistics
  • Proficiency in Python
  • Familiarity with machine learning frameworks and libraries such as PyTorch, scikit-learn, Tensor Flow, Num Py, Sci Py, and pandas
  • Strong problem-solving skills with the ability to work both independently and collaboratively in a team environment
  • Excellent written and verbal communication skills, including the ability to present complex technical concepts clearly to diverse audiences
  • Passion for technology, cybersecurity, and autonomous systems preferred

Tanium is the Autonomous IT company. As Al accelerates both innovation and risk, Tanium Atlas, the company's autonomous operating system, puts the full depth of the Tanium Autonomous IT Platform…