This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a ML Security Engineer based in the United States.
This role focuses on securing the next generation of AI-powered systems, with an emphasis on large language models, machine learning pipelines, and intelligent applications operating at scale.
You will design and implement security controls that protect AI systems from emerging threats such as prompt injection, model abuse, and data exfiltration.
The position sits at the intersection of cybersecurity and machine learning, requiring both strong security engineering fundamentals and practical understanding of modern AI architectures.
You will help define how AI systems are hardened, monitored, and governed across development and production environments.
A key part of the role involves building threat models, guardrails, and detection systems tailored specifically for AI workloads.
You will collaborate with engineering, privacy, and compliance teams to ensure secure, responsible deployment of AI capabilities.
This is a highly technical and forward-looking role in a fast-evolving environment where security directly enables safe AI innovation.
Based on 1,602 disclosed Security salaries on RoleSuite, the role pays a median of $142K/year, with most offers between $114K and $177K (10th–90th percentile: $95K–$215K).
This posting lists $100K–$150K, below the $142K market median.
See the full Security salary breakdown →