AI Research Scientist
Addison, TX (Hybrid)All locationsAddison, TX (Hybrid)Bellevue, WA (Hybrid)Durham, NC (Hybrid)Emeryville, CA (Hybrid)Reston, VA (Hybrid) Hybrid
$143,000–$219,000 a yearJobFig found this opening at its original source and checks that it remains available.
About the role
Tanium is seeking an AI Research Scientist. This role reports to our Sr. Director AI and Applied Research leading AI design, prototyping, and experimentation across Tanium products and solutions. As an AI Research Scientist, you will collaborate across engineering and product teams to design, develop, and evaluate AI and ML models that power intelligent endpoint management and security solutions. This is an exciting opportunity to work at the intersection of cutting-edge AI research and real-world cybersecurity applications at enterprise scale. This position follows the Company’s hybrid schedule which currently requires employees to work in the office at one of the following locations a minimum of three days per week: Addison, TX; Bellevue, WA; Durham, NC; Emeryville, CA; or Reston, VA.
What you'll bring
- 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
- Other
- 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 with the ability to work both independently and collaboratively in a team environment
- Excellent written and verbal communication skills, including the ability to present complex technical concepts clearly to diverse audiences
- Experience in one or more of the following areas preferred: statistical modeling, anomaly detection, internals of large language models (LLMs), or agentic AI systems
- Passion for technology, cybersecurity, and autonomous systems preferred