Search the 25 jobs at Deepmind

As a Research Engineer in Media Understanding, you'll conduct core research in computer vision and language understanding. Key responsibilities include training AI models, developing deep learning approaches, and collaborating with teams to create advanced embedding models for Google products, translating research into practical applications.

As a Research Scientist in the Canopy Team at Google DeepMind, you will lead innovative research on trustworthy AI systems, focusing on data representation, modeling techniques, and real-world applications. You will conduct impactful research, publish findings, and engage with the external research community to advance AI technologies.

As a Technical Program Manager, you'll manage Google DeepMind’s ML Hardware portfolio, working with PMs, engineers, and researchers to optimize capabilities. Responsibilities include scaling data collection processes, resource allocation, tool development, producing documentation, and troubleshooting infrastructure errors.

As a Research Engineer at Google DeepMind, you will advance AI for Chip Design, developing groundbreaking solutions and collaborating with product teams. You'll solve complex tasks, define project scopes, and share knowledge through publications while contributing to the evolution of Google's chip technology.

The Research Scientist will lead efforts in advancing methodologies for multimodal models, focusing on data-centric approaches and developing high-quality multimodal datasets. Responsibilities include enhancing multimodal systems, designing evaluation frameworks, ensuring ethical data practices, and collaborating to communicate research findings effectively.

As a Research Engineer at Google DeepMind, you will apply advanced machine learning models to real-world problems, design experiments, and collaborate with various teams across Google to enhance products. You will work within a small project team, gaining hands-on experience from research to production, with an emphasis on flexibility and innovative problem-solving.

The Research Scientist at Google DeepMind will conduct research to improve the quality and language coverage of multilingual language models. Responsibilities include developing new scalable methods for data validation and evaluation, evaluating model performance, and collaborating with other teams to integrate research findings into various applications.

Research Scientists at Google DeepMind work on developing algorithms and software prototypes for robotic agents, report research findings, collaborate with teams, and maintain relationships with research labs. The goal is to advance embodied AI technology for practical applications.

As a Research Scientist, you will conduct innovative research in reinforcement learning, natural language processing, multi-step AI reasoning, and computer vision. Your responsibilities will include designing experiments, analyzing data, and publishing findings in leading academic venues, alongside collaborative projects with other researchers.

As a Technical Program Manager at Google DeepMind, you will lead AI safety technical programs, ensuring safe and responsible development of generative AI technologies. You'll manage risks, partner with cross-functional teams, and apply technical knowledge to enhance efficiency and program success while communicating challenges and solutions to leadership.

As a Technical Program Manager at Google DeepMind, you will develop and manage ML Hardware, collaborate with product managers and engineers, support project allocation, and improve tooling and documentation. Responsibilities include communication, troubleshooting compute errors, and implementing scalable processes.

As a Senior Hardware Engineer at Google DeepMind, you will collaborate within a team to explore cutting-edge architecture and drive physical design for machine learning acceleration, focusing on design feasibility studies and implementing physical design methodologies.

As the Head of People Operations at Google DeepMind, you will design and implement the long-term strategy for People Operations, mentor and lead a global team, oversee people operations processes, and collaborate with senior stakeholders to drive organizational priorities. You will also be responsible for monitoring success metrics and data management within People Operations.

The Research Scientist at Google DeepMind will design and implement features and tools within machine learning frameworks, collaborate on experiment design with large language models, and optimize large-scale machine learning workflows.

Lead a team responsible for applying advanced models and research in AI to enhance agent memory for Google products, while collaborating closely with engineers and researchers. The role involves rapid-prototyping concepts and running experiments to evaluate opportunities, focusing on several high-impact AI projects.

As a People & Culture Partner at Google DeepMind, you will deliver high-impact HR solutions, partner with managers for skill development, and contribute to projects that enhance organizational culture. Key responsibilities include organizational design, leadership capability development, and fostering collaborative relationships in a dynamic environment.

As an AI for Code Research Scientist, you will improve models and run experiments to tackle real-world problems, working closely with a team of researchers. Responsibilities include rapid prototyping, foundational research, and contributing to high-impact AI projects such as code generation and natural language processing.

As a Research Scientist at Google DeepMind, you will design and evaluate models, work on foundational machine learning structures, and collaborate across research fields on AI solutions. Responsibilities include developing software prototypes, presenting findings, and engaging with external research partners to drive ethical advancements in AI.

The Technical Program Manager will partner with team members to oversee portfolio management, investment understanding, data analysis, and technology infrastructure. Responsibilities include managing complex projects, optimizing resource allocation, engaging stakeholders, and mentoring junior team members to foster development and collaboration.

The Research Scientist will work on advancing Google DeepMind's mission by developing new methods to teach language models to graphically explain concepts, creating evaluation methods, and exploring multimodal AI research in various domains. Responsibilities also include training new models, publishing research, and leading project segments.