The Research Scientist in AI Secure Code at DeepMind will focus on advancing research capabilities and building scalable infrastructure for cybersecurity. This role involves working on cybersecurity models and developing novel techniques for vulnerability verification. The team aims to contribute to Google's Cyber Strike initiative by creating high-quality datasets and evaluation platforms. The position is integral to enhancing software security through innovative AI solutions.

• PhD degree in Computer Science, Computer Engineering, or a similar technical field.
• Experience with vulnerability research including auditing, reverse engineering, and exploitation.
• Experience in building infrastructure, developer tools, or ML-based applications.
• A publication record in AI conferences such as NeurIPS, CVPR, ICCV, or ICLR.
• Strong proficiency in Python, C++, or Go.

• Contribute to GDM's Cyber Strike initiative by collaborating across organizations to build cybersecurity datasets and evaluation platforms.
• Design, implement, and maintain scalable software infrastructure for vulnerability detection and remediation services.
• Build evaluation pipelines, benchmarks, and leaderboards to measure agent performance rigorously.
• Optimize system performance, latency, and resource utilization for serving large models.
• Collaborate with product and platform teams to gather requirements and deploy research-based solutions.

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