Research Engineer, Multimodal

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. Research Engineers work on a diverse and stimulating range of projects including: developing algorithms and prototype applications, providing software design and programming support to research projects, along with architecting and implementing software libraries. Our Research Engineers are pivotal to the development and ongoing improvement of our research through the computational implementation of our latest theoretical work. Research Engineers make many different vital contributions to our engineering infrastructure and research programme. More specifically this role will be within the Gemini's Multimodal Team to advance agentic capabilities, specializing in vision. The team works across the entire model development pipeline (pretraining, posttraining, inference). The Role Digest and understand complex research papers, theory and thinking, with an ability to write algorithms from scratch. This role is pivotal in training, iterating and improving the performance of our agents. Own, report and present engineering developments and experimental results to both the immediate and broader research teams, status and results clearly and efficiently both internally and externally, verbally and in writing. Architect and implement software libraries to allow our research to improve and scale. Implement and evaluate algorithms - acting as a key contributor to the development and iteration throughout the research cycle. Write high quality code (Python and/or C++) to be shared within a research group or more broadly. Encouraging engineering excellence through mentoring and reviewing.

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.