Tanium

About the Company

Tanium AEM delivers autonomous management of endpoints across the industry's most comprehensive platform, providing solutions for asset discovery and inventory, vulnerability management, endpoint management, incident response, risk and compliance, and digital employee experience. Tanium AEM offers a set of distinctive features that transform how IT and Security organizations execute change safely and reliably in their environment -- at scale, with confidence, and in real-time. For more information on The Power of Certainty(tm), visit www.tanium.com and follow us on LinkedIn, X, Instagram and YouTube. We're not just best-in-category, we define the category. Join us! Find your next career here: https://www.tanium.com/about-us/careers/

Listed Jobs

Company Name

Tanium

Job Title

AI Research Intern

Job Description

**Job Title** AI Research Intern **Role Summary** Assist in designing, prototyping, and testing AI/ML solutions that enhance autonomous IT capabilities. Work with data science and engineering teams to build models for anomaly detection, threat detection, and performance optimization on endpoint data. **Expectations** - Full‑time commitment (June 8 2024 – Aug 14 2025). - Current master’s or doctoral student in Statistics, Machine Learning, or related field (GPA ≥ 3.5). - Ability to operate independently and collaborate effectively. - Strong written and verbal communication skills. - Knowledge of AI in cybersecurity contexts. **Key Responsibilities** - Design and implement ML algorithms (classification, regression, anomaly detection). - Develop and evaluate models on large endpoint datasets. - Build and maintain scalable data pipelines. - Conduct exploratory data analysis and create visualizations. - Document research methodologies, results, and best practices. - Stay current on advances in AI/ML and endpoint protection. **Required Skills** - Proficiency in Python and libraries: PyTorch, TensorFlow, scikit‑learn, NumPy, SciPy, pandas. - Experience handling large‑scale datasets. - Solid foundation in machine learning, statistics, and data analysis. - Familiarity with anomaly detection and predictive modeling. - Knowledge of large language models or agentic AI (preferred). - Problem‑solving mindset and ability to present complex ideas clearly. **Required Education & Certifications** - Currently enrolled in a master’s or PhD program (Statistics, Machine Learning, Computer Science, or equivalent). - Expected graduation Spring 2027 or Fall 2026. - Copy of current academic transcript (GPA ≥ 3.5).

Durham, United states

Hybrid

Fresher

11-12-2025