Research Engineer: AI Security & LLM Systems

Google DeepMind; Mountain View (CA); Hybrid; USD 174,000 - 252,000; Full time

Job summary

At Google DeepMind, research-focused Software Engineers are embedded throughout the company, enabling large-scale tests and rapid deployment of promising ideas. Roles involve building experiments and architectures, collaborating with universities and institutes worldwide.

This position focuses on Gemini Flash 3.5 Cyber and CodeMender, applying ML and cybersecurity knowledge to advance autonomous vulnerability discovery and fixing.

Qualifications

• Bachelor's degree in Computer Science or related 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, building training recipes and datasets 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 for serving large models.

Skills

LLM expertise

Cyber security research

Large-scale data pipelines

Research collaboration leadership

Education

Bachelor's degree in Computer Science or related field

Job description

At Google DeepMind, research-focused Software Engineers are embedded throughout the company, enabling large-scale tests and rapid deployment of promising ideas. Roles involve building experiments and architectures, collaborating with universities and institutes worldwide.

This position focuses on Gemini Flash 3.5 Cyber and CodeMender, applying ML and cybersecurity knowledge to advance autonomous vulnerability discovery and fixing.