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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.
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.
As a Software Engineer at Google DeepMind, you will develop generative AI models and product prototypes for educational purposes, improving the performance of existing models, optimizing GenAI training pipelines, and collaborating with cross-functional teams to deliver product demos and troubleshoot technical issues.
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.
Research Scientists at Google DeepMind focus on developing novel machine learning algorithms and architectures to advance Artificial General Intelligence. Responsibilities include designing and evaluating models, collaborating on research projects, and presenting findings. Successful candidates will have extensive experience in machine learning and a strong academic background.
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.
The Research Scientist will apply scientific expertise to advance Google DeepMind's mission, focusing on developing methods for teaching large language models to graphically explain concepts, creating evaluations for performance, exploring multimodal AI across various domains, and contributing to training and publishing research on the Gemini project.
As a Technical Program Manager, you will coordinate complex programs across multiple teams at Google DeepMind. Your responsibilities include managing simultaneous projects, adapting to changing conditions, ensuring project visibility, and fostering stakeholder relationships. You will leverage your technical understanding to drive process improvements and articulate technical concepts effectively.
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