AI Research Scientist

Tanium is seeking an AI Research Scientist to collaborate across engineering and product teams to design, develop, and evaluate AI and ML models that power intelligent endpoint management and security solutions.

This role reports to the Sr. Director AI and Applied Research and involves leading AI design, prototyping, and experimentation across Tanium products and solutions.

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 develop visualizations to communicate findings 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.

Requirements:

• Bachelor's degree in Computer Science, Mathematics, Statistics, Data Science, or a related field, or equivalent 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.
• Strong foundation in machine learning, data analysis, and statistics.
• Proficiency in Python.
• Familiarity with machine learning frameworks and libraries such as PyTorch, scikit-learn, TensorFlow, NumPy, SciPy, and pandas.
• Excellent written and verbal communication skills, including the ability to present complex technical concepts clearly to diverse audiences.

Benefits:

• Annual base salary range: $143,000 to $219,000.
• Equity awards.
• Medical, dental, and vision plan.
• Family planning benefits.
• Health savings account.
• Flexible spending account.
• Transportation savings account.
• 401(k) retirement savings plan with company match.
• Life, accident, and disability coverage.
• Business travel accident insurance.
• Employee assistance programs.
• Disability insurance.
• Other well-being benefits.
• 5 days set aside as volunteer time off (VTO).