Senior Application Security Engineer, Ai And Machine Learning
Lightning AI
San Francisco, California, United States
$180,000 - $220,000 py
On-site
Threat modeling ai platforms
Securing ml pipelines
Application security engineering
Perform threat modeling across AI platforms, inference services, and ML pipelines, identifying risks such as prompt injection, model extraction, adversarial inputs, and data leakage
Job Summary
Perform threat modeling across AI platforms, inference services, and ML pipelines, identifying risks such as prompt injection, model extraction, adversarial inputs, and data leakage.
Build security automation for AI and application pipelines, integrating security scanning into CI/CD workflows and developing tooling to help engineers detect and fix issues early.
This role sits at the intersection of application security, AI infrastructure, and developer platforms, helping to define how modern AI systems are secured while enabling engineers to move quickly and safely.
Matching Summary
Perform threat modeling across AI platforms, inference services, and ML pipelines, identifying risks such as prompt injection, model extraction, adversarial inputs, and data leakage.
Salary
$180,000 - $220,000
Skills & Requirements
Must-have
Threat modeling AI platforms
Securing ML pipelines
Application security engineering
Cloud environments (AWS, GCP, Azure)
Containers and Kubernetes
Python or Go scripting
Nice-to-have
Red team or offensive security
LLM systems and RAG pipelines
GPU infrastructure experience
Hugging Face, PyTorch, TensorFlow
Securing multi-tenant infrastructure
Key Requirements
Strong background in application security engineering
Experience performing threat modeling and architecture reviews
Experience securing APIs and distributed systems
Experience working in cloud environments
Experience with containers and Kubernetes
Strong scripting or programming skills
Experience securing ML pipelines, inference systems, or data platforms