Impress employers and recruiters.
Choose from hundreds of resume examples.
Impress employers and recruiters.
Choose from hundreds of resume examples.
Tailor your resume to this Research Scientist, AI Secure Code, DeepMind role.
Rezi rewrites your resume against Google's job description. Free.
Tailor your resume to this Research Scientist, AI Secure Code, DeepMind role.
Rezi rewrites your resume against Google's job description. Free.
Don't guess if your resume is good enough.
See how it scores against the Research Scientist, AI Secure Code, DeepMind posting at Google — free, in seconds.
Don't guess if your resume is good enough.
See how it scores against the Research Scientist, AI Secure Code, DeepMind posting at Google — free, in seconds.
About the Role
As a Research Scientist in the CodeMender Research team, you will play a key role in advancing research capabilities and building scalable infrastructure. You will work on cybersecurity models and custom orchestration harnesses, developing novel agentic techniques and productionizing solutions for transformative impact on GDM and software security. Google DeepMind is a pioneering AI lab focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation, prioritizing safety and ethics.
Responsibilities
- Contribute to GDM's Cyber Strike initiative, collaborating across organizations 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.
Requirements
- PhD degree in Computer Science or Computer Engineering, similar technical field of study, 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).
- Ability to self-initiate and a passion for the mission of AI safety and security.
Skills
- Python
- C++
- Go
- Machine learning frameworks and techniques (fine-tuning, reinforcement learning)
Location
- US
Work Type
- Full-time
Experience Level
- PhD
- Bachelor's or Master's
Education Level
- PhD in Computer Science or Computer Engineering, similar technical field of study, or equivalent practical experience.
- Bachelor's or Master's in Computer Science or equivalent experience.
Salary/Compensations
- $174000 - $252000 (USD) + 15% bonus target + equity
Benefits
- Bonus target
- Equity
- Benefits
About the Company
- Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals.
- Research scientists work on real-world problems that span the breadth of computer science.
- Google DeepMind is 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.
- Our global teams offer learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.