research
Posted Dec 23, 2025Research Engineer, Frontier Safety Risk Assessment
at DeepMind
London, United KingdomOn-site
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Responsibilities
- A track record of publications at venues such as NeurIPS, ICLR, ICML, RL/DL, EMNLP, AAAI and UAI. •
Requirements
- 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.
- Our team identifies, assesses, and mitigates potential catastrophic risks from current and future AI systems.
- As a member of technical staff, you will design, implement, and empirically validate approaches to assessing and managing catastrophic risk from current and future frontier AI systems.
- At the moment, these risks range from loss of control of advanced AI systems or automated ML R&D through misuse of AI for widespread CBRN or cyber harm. About Us
- You should also be skilled at engineering, especially using Python, and able to rapidly familiarise yourself with internal and external codebases.
- The role will mostly depend on your general ability to assess and manage future risks, rather than from specialist knowledge within the risk domains, but insofar as specialist knowledge is helpful, knowledge in ML R&D and loss of control as risk domains are likely the most valuable. About You
- In order to set you up for success as a Research Engineer at Google DeepMind, we look for the following skills and experience:
- experience with deep learning and/or foundation models (for example, but not necessarily, a PhD in machine learning).
- You are adept at generating ideas and designing experiments, and implementing these in Python with real AI systems.
- Experience in areas such as frontier risk assessment and/or mitigations, safety, and alignment. Engineering
- experience with LLM training and inference.
- PhD in Computer Science or Machine Learning related field.
- Experience with collaborating or leading an applied research project.
- At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact.
- If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.