Role overview: As a Security Engineer, you will be on the front line of securing cutting-edge AI systems. You'll identify vulnerabilities, build protections into code and workflows, and partner with researchers to reduce risks from adversarial actors. This role requires strong technical skills, a security-first mindset, and comfort working in a fast-paced, startup environment where threats and priorities evolve quickly.
In this role, you will:
- Conduct threat modeling, vulnerability assessments, and red-team style testing of AI-related systems.
- Design and implement security controls across infrastructure, applications, and data pipelines.
- Build, operate, and maintain detection, monitoring, and incident response capabilities, including investigating incidents and driving remediation.
- Collaborate with engineers and researchers to embed security best practices into the design and deployment of AI systems.
- Develop automation, tooling, and documentation to improve security operations and reduce manual effort.
- Stay current on emerging threats - particularly those related to AI/ML, cloud, and large-scale distributed systems.
We're looking for someone who:
- Brings deep experience in cybersecurity, threat detection, or a related area.
- Thrives in fast-moving, high-impact environments such as startups, AI research labs, or security-focused teams.
- Enjoys tackling complex, ambiguous problems and adapts quickly as priorities evolve.
- Takes initiative, communicates openly, and consistently pushes themselves - and their team - to deliver high-quality results.
- Works effectively both independently and collaboratively, contributing to team goals while managing projects with accountability.
- Can clearly communicate technical security concepts and risk trade-offs to both engineering and non-technical audiences.
Requirements:
- Degree in Computer Science, Engineering, Cybersecurity, or a related field - or equivalent professional experience.
- 3+ years of hands-on experience in security engineering, application security, detection & response, or penetration testing.
- Proficient in pertinent programming/scripting languages (e.g., Python, Go, bash/ powershell, etc.).
- Strong knowledge of secure software development practices, including threat modeling, code review, and DevSecOps principles.
- Solid understanding of cloud security concepts (IAM, VPCs, encryption, logging/monitoring) and secure deployment practices.
- Familiarity with modern infrastructure, containerization (Docker, Kubernetes), and scalable distributed systems.
- Experience effectively communicating complex security topics to technical and non-technical stakeholders.
Very Nice to Have:
- Hands-on experience securing AI/ML systems, data pipelines, or large-scale distributed environments.
- Background in offensive security (exploit development, red teaming, adversary simulation).
- Familiarity with AI-specific risks such as prompt injection, model theft, data poisoning, or adversarial ML.
Compensation & Benefits:
- Salary Range: $105K-$125K, depending on experience and location.
- Bonus: Performance-based annual bonus.
- Professional Development: Support for conferences, continuing education, or leadership training.
- Work Environment: Fully remote, U.S.-based.
- Health Benefits: Comprehensive health, dental, and vision coverage.
- Time Off: Generous PTO and paid holiday schedule.
- Retirement: 401(k) plan.