Senior Application Security Engineer, AI and Machine Learning
Lightning AI2 months ago
Seattle, WA, USA or San Francisco, CA, USASenior
Base Salary
$180k - $220k/yr
Responsibilities
- Perform threat modeling across AI platforms and ML pipelines.
- Identify risks such as prompt injection and data leakage.
- Review model serving architectures and inference pipelines.
- Partner with ML engineers to secure training and deployment workflows.
- Design isolation and security controls for multi-tenant AI workloads.
- Conduct architecture and design security reviews.
- Perform targeted code reviews for high-risk components.
- Identify security gaps in APIs and distributed systems.
- Build secure patterns for authentication and service communication.
- Secure customer-facing inference APIs and services.
- Design rate limiting and workload protection controls.
- Build monitoring for anomalous inference behavior.
- Evaluate open source models and secure model distribution pipelines.
- Implement integrity validation and provenance controls.
- Build security automation for AI and application pipelines.
- Integrate security scanning into CI/CD workflows.
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 such as AWS, GCP, or Azure.
- Experience with containers and Kubernetes.
- Strong scripting or programming skills such as Python or Go.
- Experience working closely with engineering teams to implement security improvements.
- Experience securing ML pipelines and inference systems.
- Familiarity with risks such as prompt injection and model extraction.
Benefits
- Comprehensive medical, dental, and vision coverage.
- Retirement and financial wellness support.
- Generous paid time off, plus holidays.
- Paid parental leave.
- Professional development support.
- Wellness and work-from-home stipends.
- Flexible work environment.