Cybersecurity ML Research Engineer – Gemini

Google DeepMind; San Francisco (CA); On-site; USD 174,000 - 252,000; Full time

Job summary

Google DeepMind in San Francisco is seeking a research-focused Software Engineer to advance Gemini and CodeMender, blending research with engineering to deploy large-scale AI security capabilities. You will work at the intersection of research and production to create experiments, prototypes, and scalable infrastructure addressing cybersecurity challenges.

Responsibilities include building datasets, evaluating models, and collaborating across teams worldwide to push AI safety, performance, and

Qualifications

• Bachelor's degree in Computer Science or 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

LLM experience

Education

Bachelor's degree in Computer Science

Job description

Google DeepMind in San Francisco is seeking a research-focused Software Engineer to advance Gemini and CodeMender, blending research with engineering to deploy large-scale AI security capabilities. You will work at the intersection of research and production to create experiments, prototypes, and scalable infrastructure addressing cybersecurity challenges.

Responsibilities include building datasets, evaluating models, and collaborating across teams worldwide to push AI safety, performance, and