Autonomous Security Research Scientist

Google; New York (NY); On-site; USD 174,000 - 252,000; Full time

Job summary

Google DeepMind is seeking a Research Scientist/Engineer to advance autonomous security through large-scale experiments and production-ready AI systems. You will set up tests, prototype architectures, and deploy ideas that span machine learning, data mining, and security applications.

You will publish findings and collaborate with universities, driving progress in AI safety and applied security research across diverse domains worldwide.

Qualifications

• PhD in Computer Science, Cybersecurity, ML, a related field, or equivalent practical experience.
• 4 years of experience in Python and ML frameworks (PyTorch, JAX, or TensorFlow) training, fine-tuning, and evaluating foundation models.
• 3 years of experience applying ML or automated reasoning to cybersecurity, systems, program analysis, or code generation.
• 2 years of experience in LLM post-training, including supervised fine-tuning, execution-feedback reinforcement learning, and multi-step trajectory reward modeling.

Responsibilities

• Design and iterate on post-training methodologies for Gemini, including reinforcement learning from execution feedback, multi-step trajectory reward modeling, and supervised fine-tuning on curated security datasets.
• Build scalable simulated environments and synthetic data pipelines to execute complex security workflows and generate high-signal training trajectories at scale.
• Architect autonomous agent harnesses capable of multi-step planning, tool orchestration, and decision-making under adversarial conditions.
• Develop end-to-end evaluation benchmarks that measure frontier capability limits and trajectory fidelity across realistic offensive, defensive, and vulnerability tasks.
• Transition research innovations into Google's internal defenses and customer products, while contributing to technical reports and ML and security publications.

Skills

Python

ML frameworks

LLM methods

Security ML

Education

PhD in CS/related

Job description

Google DeepMind is seeking a Research Scientist/Engineer to advance autonomous security through large-scale experiments and production-ready AI systems. You will set up tests, prototype architectures, and deploy ideas that span machine learning, data mining, and security applications.

You will publish findings and collaborate with universities, driving progress in AI safety and applied security research across diverse domains worldwide.