Autonomous Security Research Scientist — Equity & ML/AI

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

Job summary

Google DeepMind seeks a Research Scientist/Engineer to advance autonomous security through large-scale experiments, new architectures, and secure AI pipelines in Mountain View. You will train and evaluate foundation models, explore automated reasoning for cybersecurity, and publish findings to push the envelope of AI for defense.

The role emphasizes transitioning research into production defenses, collaborating with interdisciplinary teams, and contributing to safe, ethical AI practices across

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

PyTorch

JAX

TensorFlow

Education

PhD in Computer Science or related field

Job description

Google DeepMind seeks a Research Scientist/Engineer to advance autonomous security through large-scale experiments, new architectures, and secure AI pipelines in Mountain View. You will train and evaluate foundation models, explore automated reasoning for cybersecurity, and publish findings to push the envelope of AI for defense.

The role emphasizes transitioning research into production defenses, collaborating with interdisciplinary teams, and contributing to safe, ethical AI practices across