Job Description & How to Apply Below
As part of a focused engineering team, you will spearhead the machine learning initiatives for our innovative product. Your expertise will directly impact how we detect and manage AI agents, shaping risk assessments through advanced telemetry data analysis. With a direct reporting line to the CTO, your contributions will dictate the future of our product features and detection methodologies.
Key Responsibilities:
• Build and deploy production ML systems for agent behavior
• Create risk scores and behavioral baselines for AI agents
• Lead the design of telemetry ingestion and processing
• Evaluate models through A/B testing and performance metrics
• Engage in open discussions on architecture decisions
Requirements:
• 5+ years in machine learning engineering, especially in production settings
• Strong foundation in classical ML techniques
• Experience with anomaly detection in various domains
• Proficiency in Python and ML tools like Tensor Flow
• Comfortable with large datasets using tools like Snowflake
Make your mark in AI/ML and lead innovation at Tigera!
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Position Requirements
10+ Years
work experience
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