Cybersecurity Research Engineer (Gemini) - AI Security & ML

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

Job summary

Google DeepMind is seeking a Research Engineer for the Cyber Gemini team in the San Francisco Bay Area. You will work at the intersection of research and engineering, designing experiments and deploying scalable cybersecurity research for Gemini and CodeMender.

Qualifications include a CS degree and 5 years of experience with large language models, with interest in security and data pipelines. Collaboration and publishing results are valued.

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 rigorously measure agent performance.
• Optimize system performance, latency, and resource utilization for serving large models.

Skills

LLM experience

Education

Bachelor's degree in Computer Science, or related field

Job description

Google DeepMind is seeking a Research Engineer for the Cyber Gemini team in the San Francisco Bay Area. You will work at the intersection of research and engineering, designing experiments and deploying scalable cybersecurity research for Gemini and CodeMender.

Qualifications include a CS degree and 5 years of experience with large language models, with interest in security and data pipelines. Collaboration and publishing results are valued.