T

Tanium

Endpoint security and real-time systems management

AI Research Scientist

AI ResearchConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • Applicants 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).
  • A bachelor's degree in Computer Science, Mathematics, Statistics, Data Science, or a related field, or equivalent experience.
  • At least one year of experience in applied machine learning, data science, or AI research, or equivalent demonstrated expertise.
  • Experience developing and deploying machine learning models for classification, regression, or anomaly detection tasks.
  • Experience working with large-scale datasets and the tools and techniques needed to process and analyze them efficiently.
  • A 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.
  • Ability to work independently and collaboratively.

Responsibilities

  • Collaborate with data science and engineering teams to design and implement AI and machine learning algorithms that improve autonomous IT capabilities.
  • Develop and evaluate machine learning 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 that process and analyze 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.
  • Monitor and incorporate advancements in AI, machine learning, large language models, and endpoint management technologies into ongoing research.
  • Partner with cross-functional teams to translate research findings into scalable product features and improvements.

Desired Qualifications

  • Experience in one or more of the following areas: statistical modeling, anomaly detection, internals of large language models, or agentic AI systems.
  • Interest in technology, cybersecurity, and autonomous systems.

About the Company

Tanium

Endpoint security and real-time systems management

Tanium provides endpoint security and IT systems management using the Tanium XEM platform. The platform gives real-time visibility and control over endpoints across an organization, allowing teams to see all devices, applications, and configurations and to take actions quickly. It works by deploying lightweight agents on endpoints that continuously collect data and respond to guided queries from a centralized console, enabling tasks like asset discovery, vulnerability assessment, patching, and remediation at scale. Compared to competitors, Tanium emphasizes real-time, large-scale visibility and control across heterogeneous environments, including government, financial, and retail sectors, with a single platform that integrates security and IT operations. The company's goal is to help organizations protect their critical assets and manage their IT environments with certainty and precision.

Company size
1,001-5,000
Company stage
Late Stage VC
Total funding
$805.7M
Headquarters
Bellevue, WA
Founded
2007

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