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About the role
As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies.
What they're looking for
- 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)
More about this role
- 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.
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).
- Bachelor's or Master's in Computer Science...
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