Research Scientist/Engineer, Autonomous Security

Highlights

• Advance Gemini post-training to enable autonomous security capabilities.
• Build simulated environments that execute complex security workflows at scale.
• Transition research into Google defenses and customer security products.

What they offer

• 15% bonus target
• equity
• benefits

Ideal candidate

A curious researcher-engineer passionate about autonomous AI for security, blending deep cybersecurity intuition with a drive to publish and ship real-world defenses.

Requirements

• PhD in Computer Science, Cybersecurity, ML or related field or equivalent experience
• 4 years of experience training, fine-tuning and evaluating foundation models
• 3 years applying ML or automated reasoning to cybersecurity, systems, program analysis or code generation
• 2 years in LLM post-training including supervised fine-tuning and execution-feedback reinforcement learning
• Experience architecting autonomous agent systems with multi-step planning and tool orchestration
• Experience building simulated execution environments, evaluation harnesses or synthetic data pipelines
• Deep expertise in vulnerability discovery, red teaming, threat detection or automated patching
• Track record of published research or deploying AI systems in production security environments