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The Reward & Recognition Partner will advise on offer negotiations, work with compensation reports to inform decisions, communicate insights to senior leaders, and lead compensation project execution. Responsibilities also include developing reward frameworks and evaluating compensation program efficiency.
The People & Culture Partner role focuses on partnering with the Gemini team at Google DeepMind to enhance managerial skills and foster a high-performance culture. Responsibilities include coaching, talent development, overseeing people processes, and building an equitable workplace. The role ensures new executives are onboarded successfully and collaborates closely with management to address workplace concerns and drive organizational success.
As a People & Culture Partner, you will work with leaders in the Product Unit to enhance team performance through coaching and developing skills. You will deliver solutions for organization design, career development, and leadership capabilities, fostering a culture of continuous learning and utilizing a data-driven approach for improvement.
As a Research Engineer at Google DeepMind, you will focus on applying advanced machine learning models and conducting experiments to tackle real-world problems. Your role involves prototype development, model evaluation, and collaboration across teams to innovate solutions, particularly in areas like multimodal human understanding.
The Research Engineer will conduct product-driven research and apply advanced machine learning methods to real-world educational challenges. Responsibilities include developing benchmarks, training multimodal models, integrating them into products, and influencing technical strategy in a collaborative environment.
The Program Manager will lead and deliver strategic programs for Google DeepMind's People and Culture organization, working closely with teams to ensure effective collaboration and project delivery. Responsibilities include managing a portfolio of projects, employing various project methodologies, and crafting solutions for ongoing initiatives. Excellent communication and problem-solving skills are essential.
The Technical Program Manager will lead projects in machine learning and collaborate with product and research teams to drive impactful applications. Responsibilities include project management, progress tracking, fostering collaboration, and process improvement. The role requires extensive program management expertise, strong communication skills, and a technical background.
Join our team as a Research Scientist focused on generative AI and large language models in Mountain View or New York. Conduct cutting-edge research on data, modeling, and applications to drive trustworthy AI solutions with real-world impact. PhD in a technical field or equivalent experience required. Pay range: $161,000 - $245,000 per year + bonus + equity + benefits.
As a Research Engineer at Google DeepMind, you will apply advanced machine learning models to tackle real-world problems, design experiments, and work with product teams. You will collaborate with engineers and researchers, focusing on areas like Generative Media and Reinforcement Learning, while also gaining insights into transitioning research to production.
The Technical Program Manager will oversee and manage Google DeepMind's ML Hardware portfolio by collaborating with Product Managers, Engineers, and Researchers. Responsibilities include scaling processes for collecting data on ML hardware requirements, managing capacity allocation, improving efficiency and resource availability, and developing educational materials and tools for teams.
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