Research Scientist, AI Secure Code, DeepMind
About The Position
As a Research Scientist in the CodeMender Research team, you will play a key role in both advancing our research capabilities and building the scalable infrastructure needed to support them. You will work on both the underlying cybersecurity models and custom orchestration harnesses—such as the skills and custom agent loops used for vulnerability verification. You will develop novel agentic techniques, integrate them into research prototypes, and productionize these solutions to land transformative impact for GDM and software security. Artificial intelligence will be one of humanity’s most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
Requirements
- PhD degree in Computer Science or Computer Engineering, similar technical field of study (e.g., Electrical Engineering, Mathematics, Information Technology) or equivalent practical experience.
- Experience with vulnerability research (e.g., auditing, reverse engineering, exploitation).
- Experience building infrastructure, developer tools, or ML-based applications.
- Publication record in AI conferences (e.g., NeurIPS, CVPR, ICCV, ICLR).
Nice To Haves
- Bachelor's or Master's in Computer Science or equivalent experience.
- Experience building AI tools/agents for coding.
- Strong proficiency in Python, C++, or Go.
- Familiarity with machine learning frameworks and techniques (fine-tuning, reinforcement learning).
- Ability to self-initiate and a passion for the mission of AI safety and security.
Responsibilities
- Contribute to GDM's Cyber Strike initiative, collaborating across organizations (DeepMind, Cloud Security, etc.) to build high-quality cybersecurity datasets, benchmarks, and evaluation platforms for vulnerability finding and fixing.
- Design, implement, and maintain scalable software infrastructure for CodeMender’s vulnerability detection and remediation services.
- Build evaluation pipelines, benchmarks, and leaderboards to rigorously measure agent performance.
- 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 into Google's developer tools and workflows.
Benefits
- 15% bonus target
- equity
- benefits
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
Ph.D. or professional degree
