Develop and deploy machine learning models optimized for security use cases including anomaly detection, threat identification, and behavioral analysis.
Perform feature engineering and selection on high-volume, real-time security data such as logs, network telemetry, and endpoint signals.
Manage the full model lifecycle with emphasis on version control, testing protocols, and iterative improvements using MLOps standards.
Keep current with advancements in data science, deep learning, and AI applications in cybersecurity to inform product evolution.
Investigate new statistical and machine learning approaches to address evolving cyber threats.
Build and execute A/B testing frameworks to evaluate model effectiveness and business impact.
Collaborate with data engineers to structure and prepare complex datasets for training and inference.
Design and maintain data pipelines tailored to feature extraction and real-time model serving.
Utilize vector databases and retrieval-augmented generation systems to enhance context in large language model applications.
Engage with security operations teams to align model outputs with operational needs and real-world threat patterns.
Partner with product management to define AI-driven features and quantify their business value.
Communicate technical results and model behavior clearly to both technical and non-technical stakeholders.

Attractive salary and comprehensive benefits offering.
Access to advanced AI-powered cybersecurity platforms and integration with Google SecOps tools.
Work alongside a skilled and forward-thinking team dedicated to advancing security operations.
Supportive environment emphasizing professional growth in AI, cybersecurity, and emerging technologies.

Competitive salary and benefits package.

On-site

Collaborate across Security Operations, Product, and Data Engineering teams.

This role is based in San Jose, CA, requiring in-person attendance at the office for four days each week.

Not specified

TENEX.AI is hiring a Senior Data Scientist