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Artificial Intelligence could be one of humanity’s most useful inventions. At Google 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.
About UsWe’re a dedicated scientific community, committed to “solving intelligence” and ensuring our technology is used for widespread public benefit.
We’ve built a supportive and inclusive environment where collaboration is encouraged and learning is shared freely. We don’t set limits based on what others think is possible or impossible. We drive ourselves and inspire each other to push boundaries and achieve ambitious goals.
The RoleAs a Research Engineer in Strategic Initiatives, you will use your machine learning expertise to collaborate with domain experts and other machine learning scientists within our strategic initiatives programs. Your primary focus will be on building technologies to make GenAI-based agents more secure and private.
GenAI agents are increasingly used to handle sensitive data on behalf of users. For them to operate in a secure, trustworthy, and reliable manner, there are many unsolved, impactful problems we are working on and expect you to contribute to. This includes building infrastructure, researching new privacy preserving methods, building prototypes and demos, working with partner and client teams, and most importantly, land transformative impact for GDM and our product partners.
Key responsibilities:- Invent and implement novel recipes for generating and running agentic privacy benchmarks at Google scale and adapt evaluation methodology to a diverse set of agentic pipelines
- Work on agent orchestration prototypes combining multiple AI components to reliably solve complex tasks in nuanced scenarios
- Elucidate spaces of trade-offs between performance factors (utility, privacy, latency) and investigate novel ideas to push the Pareto frontier of these trade-offs
- Integrate novel agentic technologies (e.g. memory usage and personalization) into research prototypes
- Work with product teams to gather research requirements and consult on the deployment of research-based solutions to help deliver value incrementally
- Amplify the impact by generalizing solutions into reusable libraries and frameworks for privacy preserving AI agents across Google, and by sharing knowledge through design docs, open source, external blog posts and publications
In order to set you up for success as a Research Engineer at Google DeepMind, we look for the following skills and experience:
- Bachelor in computer science, security or related field, or equivalent practical experience
- Passion for accelerating the development of private machine learning using innovative technologies.
- Strong programming experience.
- Demonstrated record of python implementations of machine learning pipelines.
- Quantitative skills in maths and statistics.
- Experience with common scripting languages and pipelining tools.
In addition, the following would be an advantage:
- Experience in applying machine learning techniques to problems surrounding scalable, robust and trustworthy deployments of models.
- Experience with GenAI language models, formal methods, and/or private storage solutions.
- Demonstrated success in creative problem solving for scalable teams and systems
- A real passion for AI!
At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.
Application Deadline - Thursday 29th May - 17:00 GMT
