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.
The role of Research Engineer, Education will be to push the frontiers for Generative AI models in service of education, including foundational work on complex instruction following, multimodal understanding, and reinforcement learning.
We are seeking a Research Engineer to join the AI for Education team in London. Here you will imagine the future of education by conducting groundbreaking long-term research in the applications of AI to learning.
At Google DeepMind, we've built a unique culture and work environment where long-term ambitious research can flourish alongside product development that reaches teachers and learners around the world. Our interdisciplinary team has deep expertise in modern AI models, evaluation with human subjects, product development, and learning science. See our work on LearnLM and our recent release of Guided Learning.
Research Engineers at Google DeepMind are the bridge between ambitious research ideas and functional, large-scale systems. They work in close collaboration with Research Scientists to design and build the infrastructure, models, and tools necessary to drive groundbreaking research.
For the AI for Education team, this means designing evaluations, building agentic systems and developing advanced reinforcement learning methodologies to tackle complex educational tasks. As a Research Engineer, you will be instrumental to transforming research hypotheses into tangible experiments. Your contributions will enable the team to make rapid, empirically-driven progress towards AI systems that can safely and effectively support learners everywhere. You will also have the opportunity to collaborate directly on projects with significant social impact.
To be a strong fit for this position, you must have a passion for building educational technology in a responsible and community-focused manner.
In order to set you up for success as a Research Engineer at Google DeepMind, we look for the following skills and experience:
In addition, any of the following would be an advantage:
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 opportunities 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.
Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy.
Closing date: Tuesday, 17th March at 5:00pm GMT