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The Program Manager will lead and manage complex cross-functional programs in Governance and Legal spaces, utilizing program management methodologies to ensure sustainable change, while fostering collaboration and creativity among teams. They will be a strategic partner to leadership, developing approaches to project and program management to support rapid progress in ambiguous environments.
As a Research Scientist at Google DeepMind, you will conduct empirical research to validate new ideas, develop intuitions based on data scaling laws, and improve understanding of large scale training dynamics, collaborating closely with various teams.
The Research Engineer will develop and enhance large-scale data pipelines for Gemini's pre-training data, conduct empirical research, and collaborate with various teams to advance generative models and understand their interaction with large-scale training.
As a Games Designer for the Worlds team at Google DeepMind, you'll develop AI environments, leveraging generative AI and game design principles. Responsibilities include rapid prototyping, prompt engineering, and collaborating across teams to ensure high-quality research environments.
The Research Engineer will design, build, and maintain scalable machine learning systems, optimizing codebase performance and exploring advanced AI research. Responsibilities include providing mentorship, validating new techniques through experimentation, and driving collaborative efforts for project success.
The Product Manager will collaborate with research teams and across Google Cloud to define product roadmaps, influence product direction, build partnerships, and ensure the responsible deployment of products, achieving significant user and business impact.
The Data Science Lead role involves managing a team of data scientists, driving the technical vision for the analytics platform, and bridging the gap between data engineering and data science. Responsibilities include mentoring team members, collaborating with cross-functional leads, and establishing standards for data processing and analytics.
Seeking an experienced People Operations Partner for a 12-month fixed term period at Google DeepMind. Responsible for driving operational excellence, process improvement, automation, and supporting cross-functional projects. Provides technical expertise, mentors team members, and advises on people analytics. Develops a people systems strategy and supports critical projects.
Research Scientists at Google DeepMind are responsible for developing novel algorithmic architectures to achieve Artificial General Intelligence. They collaborate across various research fields and tackle fundamental questions in machine learning and AI, developing models and prototypes for perceptual processing and reporting their findings effectively.