Research Engineer, Cyber Gemini, DeepMind

• 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.

Minimum 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.

Preferred qualifications:

• Experience with Cyber Security (in particular, application security and vulnerability research).
• Experience with running large-scale data processing pipelines.
• Experience collaborating on or leading applied research projects.

• 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.