AI Research Scientist (Hybrid) — Cybersecurity ML Innovator

Tanium Inc.; Durham (NC); Hybrid; USD 143,000 - 219,000; Full time

Job summary

Tanium is seeking an AI Research Scientist to design, prototype, and evaluate AI/ML models powering intelligent endpoint management and security solutions. You will collaborate with engineering and product teams to translate research into scalable features and improvements.

The role reports to the Sr. Director AI and Applied Research and follows a hybrid schedule, requiring in-office presence at Durham, NC (hybrid) three days per week, with some flexibility for other listed locations.

Qualifications

• Bachelor's degree or equivalent experience in CS/Math/Data Science.
• 1+ years of applied ML, data science, or AI research experience.
• Experience with ML model development for classification, regression, or anomaly detection.
• Experience handling large-scale datasets and scalable data processing.

Responsibilities

• Collaborate with data science and engineering teams to design and implement AI/ML algorithms for Tanium’s autonomous IT capabilities.
• Develop and evaluate ML models across various use cases including anomaly detection and threat identification.
• Analyze endpoint data to extract insights and build predictive models.
• Contribute to data pipelines and scalable analytics for processing endpoint data at scale.
• Document methodologies and results to support reproducibility and knowledge sharing.

Skills

Python

ML research

PyTorch

scikit-learn

TensorFlow

NumPy

SciPy

pandas

Data analysis

Statistics

Education

Bachelor's degree in Computer Science, Mathematics, Statistics, Data Science, or related field

Tools

PyTorch

scikit-learn

TensorFlow

NumPy

SciPy

pandas

Job description

Tanium is seeking an AI Research Scientist to design, prototype, and evaluate AI/ML models powering intelligent endpoint management and security solutions. You will collaborate with engineering and product teams to translate research into scalable features and improvements.

The role reports to the Sr. Director AI and Applied Research and follows a hybrid schedule, requiring in-office presence at Durham, NC (hybrid) three days per week, with some flexibility for other listed locations.