Senior Application Security Engineer, AI and Machine Learning
San Francisco, California, United States; Seattle, Washington, United States
USD 180K-220K Senior-level Full Time
Tasks
- Build authentication and authorization patterns
- Build monitoring and detection for inference abuse
- Conduct security architecture reviews
- Design rate limiting and isolation controls
- Implement security automation for AI pipelines
- Integrate security scanning into CI/CD
- Perform targeted code reviews
- Perform threat modeling
- Protect against model extraction and adversarial behavior
- Secure APIs and distributed systems
- Secure service to service communication
Perks/Benefits
- Citi Bike membership
- Flexible paid time off
- Gym membership
- Health and mental health services
- Home office stipend
- Learning and development stipend
- Life and AD and D insurance
- Medical/Dental/Vision
- Paid family leave
- Winter closure
Skills/Tech-stack
API Security | AWS | Adversarial inputs | Agent Frameworks | Application Security | Architecture Review | Authentication | Authorization | Azure | CI/CD | Code review | Container Security | Data leakage | Distributed Systems | GPU infrastructure | Go | Google Cloud | Hugging Face | Kubernetes | LLM | Microservices | Model extraction | Prompt injection | PyTorch | Python | RAG | Rate Limiting | Security Architecture | Security Automation | Security Scanning | Security architecture review | Service communication | Service to Service | Service-to-service communication | TensorFlow | Threat modeling
Education
N/A
Regions
Countries
States
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