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.