Machine Learning Security Engineer

Join a cybersecurity company building AI-driven security solutions for enterprise environments. This remote opportunity is perfect for a Machine Learning Security Engineer passionate about securing modern infrastructure through automation, detection engineering, and intelligent threat analysis. You’ll work with technologies across Python, AWS, Kubernetes, SIEM platforms, and machine learning frameworks to help shape next-generation security operations.

Required Skills & Experience

• 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
  
  

What You Will Be Doing Tech Breakdown

• 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
  
  

Applicants must be currently authorized to work in the US on a full-time basis now and in the future.

Posted By: Shawna Dunleavy