Security Engineer

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.