The Research Engineer role at DeepMind focuses on advancing the capabilities of Gemini and CodeMender in autonomous vulnerability discovery and fixing. This position combines research and engineering to enhance cybersecurity through machine learning. Engineers will work on real-world problems, contributing to the development of high-quality training datasets and evaluation platforms. The role emphasizes collaboration across organizations and active participation in the research community.

• Bachelor's degree in Computer Science or a related technical field, or equivalent practical experience.
• 5 years of experience with large language models, including pre-training or fine-tuning.
• Experience with Cyber Security, particularly application security and vulnerability research.
• Experience with running large-scale data processing pipelines.
• Experience collaborating on or leading applied research projects.

• Contribute to Gemini Cyber by building high-quality training recipes and cybersecurity datasets.
• Integrate novel machine learning 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.

• Employees at Google are often offered benefits like comprehensive health insurance, 401(k) matching, and flexible work arrangements, among other benefits.