New

Research Engineer, Education

London, UK

Snapshot

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.

About us

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.

The role

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.

Key responsibilities

  • Design and build experiments and systems to rapidly test research hypotheses and demonstrate novel educational applications.
  • Design, build, and own end-to-end infrastructure for long-term research in AI for education.
  • Implement advanced machine learning methods to advance educational AI capabilities.
  • Collaborate closely with research scientists, learning science experts, and product teams to translate research into robust experiments and land impactful research projects in real-world products.

About you

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:

  • MSc in Computer Science or a related technical field, or equivalent practical experience.
  • Exceptional software engineering skills in Python or other programming language(s).
  • Background or experience in machine learning, statistics, and/or data science methodologies.

In addition, any of the following would be an advantage: 

  • Experience with reinforcement learning, agentic systems, or user simulation methodologies.
  • Demonstrated experience in education technology, learning science or other socially impactful applications of technology, such as in healthcare.
  • Familiarity with prompting large AI models for structured data generation. 
  • Demonstrated ability to translate ambiguous research questions into functional experimental setups.

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

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Google DeepMind is committed to equal opportunity employment regardless of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital status, domestic or civil partnership status, sexual orientation, gender identity or any other basis as protected by applicable law. A voluntary self-identification question enables us to monitor and evaluate the effectiveness of our equal opportunities policy within our recruitment process. Your information is used in an aggregated form for these limited purposes and will not form part of your application.

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