Research Scientist/Research Engineer, AI for Secure Code
About The Position
Artificial Intelligence could be one of humanity's most useful inventions. At DeepMind, we're a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. AI's cyberattack capability is increasing rapidly; recently, there has been a surge in the number of zero-day exploits found by AI in well-tested software. As we achieve more breakthroughs in AI-powered vulnerability discovery, it will become increasingly difficult for humans alone to keep up. We recently announced CodeMender, an AI agent for Code Security that helps solve this problem by taking a comprehensive approach to code security that's both reactive, instantly patching new vulnerabilities, and proactive, rewriting and securing existing code and eliminating entire classes of vulnerabilities in the process. As a research scientist in the CodeMender team, you will research new approaches to leveraging AI for code security, build prototypes and demos, train new models, work with partner and client teams, and most importantly, land transformative impact for GDM and software security more broadly. The preferred locations are Mountain View, San Francisco, or New York.
Requirements
- Extensive experience with developing ML techniques to reasoning and code generation problems
- MSc or PhD/DPhil degree in computer science or a related field.
- Significant success with project(s) building AI tools, either as research publications at top conferences, as an artifact developed at a company, or as open source artifact(s).
- Large contribution to the code and (co-)leading the development in the project(s) above (which can be a research prototype).
- Proven experience of prominent ML frameworks is highly desirable.
- Independent, self-starter attitude.
- Passion for the mission above.
Nice To Haves
- Experience in ML/AI for Code is helpful.
Responsibilities
- Developing strategies and solutions to advance the agent's abilities to solve code security challenges.
- Integrating novel agentic techniques into research prototypes.
- Training new models using fine tuning or reinforcement learning techniques.
- Building evaluation pipelines, benchmarks, and leaderboards.
- Working with product teams to gather research and product requirements.
- Consulting on the deployment of research-based solutions to products.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Industry
Publishing Industries
