What We're Looking ForWe are looking for a Senior Application Security Engineer to help secure our AI, machine learning, and inference platforms. This is a hands on technical role focused on building security into modern AI infrastructure, inference systems, and developer platforms.
You will work closely with platform engineers, ML engineers, and infrastructure teams to identify risks, design secure architectures, and build security tooling that enables engineers to move quickly and safely.
This role is execution focused. You will drive technical implementation, perform deep security reviews, and help build out our application security capabilities alongside the CISO and engineering leadership.
This is a hybrid role based in either our Seattle or San Francisco office. The anticipated salary range for this role is $180,000 - $220,000.
What You'll DoSecure AI and Machine Learning Systems- Perform threat modeling across AI platforms, inference services, and ML pipelines
- Identify risks such as prompt injection, model extraction, adversarial inputs, and data leakage
- Review model serving architectures and inference pipelines
- Partner with ML engineers to secure training, fine tuning, and deployment workflows
- Help design isolation and security controls for multi tenant AI workloads
Application Security Engineering- Perform architecture and design security reviews
- Conduct targeted code reviews for high risk components
- Identify security gaps in APIs, micro-services, and distributed systems
- Build secure patterns for authentication, authorization, and service to service communication
- Help engineering teams implement secure defaults and guardrails
Inference Platform Security- Secure customer facing inference APIs and services
- Protect against abuse, model extraction, and adversarial behavior
- Design rate limiting, isolation, and workload protection controls
- Build monitoring and detection for anomalous inference behavior
AI Supply Chain and Model Security- Evaluate open source models and dependencies
- Secure model artifacts and distribution pipelines
- Implement integrity validation and provenance controls
- Help secure container images and runtime environments
Security Automation and Tooling- Build security automation for AI and application pipelines
- Integrate security scanning into CI/CD workflows
- Develop tooling to help engineers detect and fix issues early
- Improve developer experience with security guardrails
What You'll NeedRequired Experience- 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, Go, or similar
- Experience working closely with engineering teams to implement security improvements
AI and Machine Learning Experience- Experience securing ML pipelines, inference systems, or data platforms
- Familiarity with risks such as prompt injection, model extraction, and adversarial inputs
- Experience reviewing model serving architectures
- Understanding of training data security and data leakage risks
Strong Plus- Red team or offensive security experience
- Experience crafting payloads and evaluating CVEs for exploitability in diverse environments
- Experience with GPU infrastructure or high performance computing
- Experience with Hugging Face, PyTorch, TensorFlow, or similar frameworks
- Experience with LLM systems, RAG pipelines, or agent frameworks
- Experience building security automation pipelines
- Experience securing multi tenant infrastructure
What Success Looks Like- Security is embedded into AI platform architecture early
- Engineering teams ship quickly with secure defaults
- Inference platforms are resilient against abuse and extraction
- Model pipelines are secure and auditable
- Security tooling scales with engineering growth
Why This Role MattersThis role sits at the intersection of application security, AI infrastructure, and developer platforms. You will help define how we secure modern AI systems while enabling engineers to move quickly and safely.
You will work closely with engineering leadership and the CISO to build practical, scalable security capabilities that support rapid innovation in AI and machine learning.
Benefits and PerksWe offer competitive base salaries and equity with a 25% one year cliff and monthly vesting thereafter. For our international employees, we work with our EOR to pay you in your local currency and provide equitable benefits across the globe.
In the US, we offer:
- Medical, dental and vision
- Life and AD&D insurance
- Flexible paid time off including winter closure
- Paid family leave benefits
- $500 one time home office stipend
- $1,000 annual learning & development stipend
- 100% Citibike membership (NYC only)
- $45/month gym membership
- Additional various medical and mental health services
