Tech Lead Manager, Multimodal Memory & Memory Reasoning
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About The Position
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. The Product team collaborates closely with a wide variety of teams across Google/Alphabet, leveraging Google DeepMind expertise to deploy advanced machine learning algorithms with the goal of improving Alphabet products and services. We are a driven, collaborative, diverse team based in London and Mountain View. Our current and past engagements include teams in Workspace, Cloud, Android, Assistant, Youtube and Maps. We collaborate closely with Google DeepMind and Google Research teams on several projects. Each project typically consists of a team of engineers working closely with our product partners and with our researchers, product managers and program managers. 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.
