AI Research Scientist

Tanium•Durham, NC

14h•$143,000 - $219,000•Hybrid

About The Position

Tanium is seeking an AI Research Scientist to lead AI design, prototyping, and experimentation across its products and solutions, reporting to the Sr. Director AI and Applied Research. The role collaborates with engineering, data science, product, and other cross-functional teams to design, develop, and evaluate AI and machine-learning models for intelligent endpoint management and security solutions. It applies AI research to real-world cybersecurity challenges at enterprise scale, including work with endpoint data, predictive models, and scalable product features. The position follows a hybrid schedule requiring employees to work in the office at least three days per week at one of these locations: Addison, Texas; Bellevue, Washington; Durham, North Carolina; Emeryville, California; or Reston, Virginia. Applicants must meet the stated U.S. citizenship, national, or resident requirement pursuant to the cited Department of Defense requirements. The role requires a bachelor's degree in a related discipline or equivalent experience and at least one year of relevant experience or equivalent demonstrated expertise.

Requirements

Bachelor's degree in Computer Science, Mathematics, Statistics, Data Science, or a related field, or equivalent experience.
At least 1 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 working with large-scale datasets and the tools and techniques needed 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.
Strong problem-solving skills and ability to work independently and collaboratively in a team environment.
Excellent written and verbal communication skills, including explaining complex technical concepts clearly to diverse audiences.
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), in accordance with Department of Defense requirements.

Nice To Haves

Experience in statistical modeling, anomaly detection, internals of large language models (LLMs), or agentic AI systems.
Passion for technology, cybersecurity, and autonomous systems.

Responsibilities

Collaborate with data science and engineering teams to design and implement AI and machine-learning algorithms that improve Tanium’s autonomous IT capabilities.
Develop and evaluate ML models for use cases including anomaly detection, threat identification, and performance optimization.
Analyze large-scale endpoint data to extract insights and develop predictive models.
Contribute to the design and implementation of data pipelines for processing and analyzing endpoint data at scale.
Conduct exploratory data analyses 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 the internal knowledge base and support reproducibility.
Stay up to date with advances in AI, ML, large language models, and endpoint management technologies, and incorporate relevant advances into research efforts.
Partner with cross-functional teams to translate research findings into scalable product features and improvements.