Machine Learning Security Engineer

3+ years of experience in Security Engineering, Detection Engineering, or ML Engineering Strong Python scripting and automation experience Experience with SIEM tools such as Splunk, Sentinel, or Elastic Understanding of threat detection, behavioral analytics, and SOC workflows Familiarity with cloud environments such as AWS or Azure Experience working with machine learning models or data pipelines Desired Skills & Experience Experience with Kubernetes or Docker environments Knowledge of LLMs, AI security, or adversarial machine learning Familiarity with EDR tools like SentinelOne, CrowdStrike, or Defender Experience with MLOps tools and CI/CD pipelines Security certifications such as Security+, CISSP, or GIAC, Applicants must be currently authorized to work in the US on a full-time basis now and in the future.

40% Python & Machine Learning Engineering 30% Cloud & Security Infrastructure 20% Threat Detection & Response 10% Research & Optimization Daily Responsibilities 70% Hands On 10% Management Duties 20% Team Collaboration The Offer Bonus eligible

You will receive the following benefits: Medical, Dental, and Vision Insurance Vacation Time Stock Options