AI Research Scientist

Role

Tanium is seeking an AI Research Scientist reporting to the Sr. Director of AI and Applied Research. Collaborate with engineering and product teams to design, develop, and evaluate AI and ML models for intelligent endpoint management and cybersecurity solutions at enterprise scale.

Work arrangement

This position requires working in an office at least three days per week in one of these locations:

• Addison, TX
• Bellevue, WA
• Durham, NC
• Emeryville, CA
• Reston, VA

Responsibilities

• Collaborate with data science and engineering teams to design and implement AI and ML algorithms that improve autonomous IT capabilities.
• Develop and evaluate models for anomaly detection, threat identification, and performance optimization.
• Analyze large-scale endpoint data to extract insights and develop predictive models.
• Contribute to data pipelines that process and analyze endpoint data at scale.
• Conduct exploratory data analysis and develop visualizations to communicate findings to technical and non-technical stakeholders and inform product decisions.
• Document research methodologies, experiments, and results to support reproducibility and expand the internal knowledge base.
• Monitor and incorporate advancements in AI, ML, large language models, and endpoint management into research.
• Partner with cross-functional teams to translate research findings into scalable product features and improvements.

Qualifications

• In accordance with Department of Defense requirements, 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).
• Bachelor's degree in Computer Science, Mathematics, Statistics, Data Science, or a related field, or equivalent experience.
• At least one year 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 processing and analyzing large-scale datasets efficiently.
• Strong foundation in machine learning, data analysis, and statistics.
• Proficiency in Python.
• Familiarity with ML frameworks and libraries such as PyTorch, scikit-learn, TensorFlow, NumPy, SciPy, and pandas.
• Strong problem-solving skills and the ability to work independently and collaboratively.
• Excellent written and verbal communication skills, including presenting complex technical concepts clearly to diverse audiences.

Preferred qualifications

• Experience in one or more of statistical modeling, anomaly detection, LLM internals, or agentic AI systems.
• Passion for technology, cybersecurity, and autonomous systems.

Compensation and benefits

• Annual base salary: $143,000–$219,000. Actual offers may vary based on location, education, skills, training, and experience.
• Equity awards and medical, dental, and vision coverage.
• Family planning benefits; health, flexible spending, and transportation savings accounts; and a 401(k) with company match.
• Life, accident, disability, and business travel accident insurance; employee assistance programs; and other well-being benefits.
• Five days of volunteer time off.

Application and interview information

• Tanium employees communicate only through @tanium.com email addresses, conduct video interviews, and never ask applicants for money.
• For accommodations during the application, interview, or pre-employment process, contact accommodations@tanium.com.