Senior Product Security Engineer

📋 Description

• Champion Secure Agentic AI Development; adapt security for RL and agent systems.
• Agentic threat modeling; identify risks like goal misalignment and reward hacking.
• Secure agent architecture & safety boundaries; deterministic guardrails and Zero Trust.
• Secure agent tools & memory; prevent manipulation and memory poisoning.
• MLSecOps for RL pipelines; protect training and simulation environments.
• Adversarial testing & red teaming; probe for behavioral manipulation.

🎯 Requirements

• Agentic AI & RL security: experience with RL, autonomous agents.
• AI partnership: embedded with AI researchers; bridge probabilistic AI and deterministic code.
• Core experience: 5+ years in product security or related security engineering role.
• Safety mindset: prioritize availability and safety; familiar with fail-safes and human-in-the-loop.
• Technical depth: Python (essential) or Go; RL libraries like Ray.
• Advanced MLOps: Kubeflow/MLflow and securing data and model-training pipelines.

🎁 Benefits

• 100% remote company with asynchronous collaboration.
• Competitive compensation and meaningful equity.
• Training, development, and professional growth opportunities.
• Medical, dental, and vision insurance (regional variations).
• Unlimited PTO with a minimum of 20 days/year.
• Paid parental leave and workspace stipends.