AI Cybersecurity Research Engineer

Google Inc.; California (MO); Hybrid; USD 174,000 - 252,000; Full time

Job summary

Google DeepMind seeks a Research Engineer to work on Gemini Cyber and CodeMender, applying ML and cybersecurity knowledge to discover and fix vulnerabilities in large-scale models. You will help build datasets, experiments, and robust infrastructure, bridging research and engineering across global teams.

This role emphasizes collaboration with research programs at partner institutions and publishing results, while advancing secure AI product development for billions of users.

Qualifications

• Bachelor's degree in Computer Science, or a related technical field, or equivalent practical experience.
• 5 years of experience with large language models (LLM), including pre-training or fine-tuning.

Responsibilities

• Contribute to Gemini Cyber, collaborating across organizations to build high-quality training recipes, cybersecurity datasets, benchmarks, and evaluation platforms for vulnerability finding and fixing.
• Build datasets (RL environments, SFT data) and iterate on post-training recipes.
• Integrate novel ML and agentic techniques into research prototypes.
• Build evaluation pipelines, benchmarks, and leaderboards to measure agent performance.
• Optimize system performance, latency, and resource utilization for serving large models.

Skills

LLMs experience

Education

Bachelor's degree in Computer Science or related field

Job description

Google DeepMind seeks a Research Engineer to work on Gemini Cyber and CodeMender, applying ML and cybersecurity knowledge to discover and fix vulnerabilities in large-scale models. You will help build datasets, experiments, and robust infrastructure, bridging research and engineering across global teams.

This role emphasizes collaboration with research programs at partner institutions and publishing results, while advancing secure AI product development for billions of users.