Search the 36 jobs at Deepmind

The Research Scientist role at Google DeepMind involves developing generative AI models to innovate video creation tools. The position requires pioneering methods to enhance model capabilities and designing user experiences to empower creators, while collaborating with various teams to address user needs.

As an AI for Code Research Scientist, you will improve models and research for real-world problems by prototyping concepts and running experiments, collaborating with a team to drive foundational research direction.

The Operations Manager will support projects and processes, collaborate with diverse teams, enhance organizational practices, and promote a positive workplace aligned with Google DeepMind's values. Responsibilities include executing project tasks, identifying process improvements, and aiding in problem-solving and stakeholder engagement.

The DE&I Partner at Google DeepMind will champion diversity, equity, and inclusion efforts within the organization. Responsibilities include managing Employee Resource Groups, conducting research and analysis, developing training materials, collaborating with internal teams to integrate DEI principles, and staying updated on best practices. Strong expertise in DEI concepts and excellent communication skills are essential for success in this role.

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.

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.

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.

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.

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.