Senior Application Security Engineer, AI and Machine Learning
Core
Securing AI, machine learning, and inference platforms by building security into modern AI infrastructure, inference systems, and developer platforms.
Role type
Senior Application Security Engineer (AI/ML Infrastructure)
Builds
Secure AI platforms, inference systems, and developer tooling for solo researchers, startups, and enterprises.
Domain
Artificial Intelligence / Machine Learning / Cloud Security
Deliverable
production ML models | infrastructure
Required skills
Application security engineering, threat modeling, architecture reviews, API security, distributed systems security, cloud environments (AWS/GCP/Azure), containers and Kubernetes, Python/Go scripting, ML pipeline security, model serving architecture review.
Preferred skills
Red teaming, CVE evaluation, GPU/High Performance Computing, LLM/RAG/Agent frameworks, multi-tenant infrastructure security.
Technologies
PyTorch, TensorFlow, Hugging Face, Kubernetes, AWS, GCP, Azure.
Responsibilities
Perform threat modeling across AI platforms and ML pipelines; Review model serving architectures and inference pipelines; Conduct targeted code reviews for high-risk components; Build security automation for AI and application pipelines; Design isolation and security controls for multi-tenant AI workloads.
Seniority
Senior, hands-on IC
