Research Scientist/Engineer, Autonomous Security, DeepMind
Google· DeepMind
Hybrid (Mountain View, CA; New York, NY; San Francisco, CA)$174k - $252kFull-timePosted 3w ago
About the role
Research Scientist/Engineer role at Google DeepMind focused on autonomous security, designing post-training methodologies, scalable evaluation environments, and autonomous agent systems to advance AI security capabilities and integrate findings into Google products and defenses.
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.
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.
Skills
Required:PythonPyTorchJAXTensorFlowReinforcement Learning
Nice to have:Autonomous agents
Benefits
- Learn more about benefits at Google.
Last updated Oct 23, 2026. Interested? Apply on the company site.
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