ML Detection Engineer

Arcitix AI Security; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

Arcitix AI Security is seeking a machine-learning focused security role to build models that detect threats from behavioral patterns and anomalies. You will translate detection logic into maintainable, code-based rules and processes, collaborating with security engineers to improve threat detection capabilities.

Ideal candidates have hands-on experience developing ML models, familiarity with behavioral analytics or anomaly detection, and the ability to express detection logic clearly in code.

Qualifications

• Experience developing machine-learning models.
• Experience with behavioral analytics or anomaly detection.
• Ability to express detection logic in code.

Responsibilities

• Develop models that detect threats from behavioral patterns.
• Apply anomaly detection to identify activity that deviates from expected behavior.
• Convert detection approaches into maintainable, code-based rules and processes.

Skills

ML model development

Behavioral analytics

Anomaly detection

Code expression of detection logic

Job description

Role overview

Build machine-learning models for security threat detection. The work focuses on using behavioral analysis and anomaly detection to identify suspicious activity, and translating detection logic into repeatable, code-based methods.

Responsibilities

• Develop models that detect threats from behavioral patterns.
• Apply anomaly detection to identify activity that deviates from expected behavior.
• Convert detection approaches into maintainable, code-based rules and processes.

Requirements

• Experience developing machine-learning models.
• Ability to work with behavioral analytics or anomaly detection.
• Ability to express detection logic in code.