Search the 24 jobs at Deepmind

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.

The Technical Program Manager will apply project management methodologies to manage initiatives, working closely with researchers, engineers, and stakeholders to define scope, goals, and resources. Responsibilities include end-to-end project planning, translating technical information, tracking progress, resolving technical challenges, and evaluating proposals while promoting collaboration and learning.

As a Technical Program Manager at Google DeepMind, you'll manage and optimize ML hardware portfolio, create data collection processes, collaborate with portfolio managers, produce communications, assist with new pilot programs, and maintain tooling while troubleshooting infrastructure errors.

As a Product Marketing Manager at Google DeepMind, you'll manage the product marketing and go-to-market (GTM) efforts for models and prototypes. This role involves defining marketing strategies, collaborating with research and product teams, and executing comprehensive marketing plans.

The Portfolio Lead, Sustainability will manage a portfolio related to AI applications for sustainability at Google DeepMind. Responsibilities include collaborating with teams to leverage technology for real-world solutions, driving project strategies, overseeing budgets, and evaluating success metrics while building partnerships.

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

The Tech Lead Manager will lead a team to apply advanced machine learning models for agent memory in various Google projects. Responsibilities include developing experiments, collaborating with research and product teams, and contributing to AI-related advancements focused on memory generation, NLP, and multimodal understanding.

As a Research Engineer at Google DeepMind, you will apply research ideas to solve real world problems, focusing on media quality understanding and creation. Responsibilities include model training, dataset curation, performance optimization, and prototyping. You will work on generative media and multimodal understanding projects, requiring flexibility and innovation.

As a Research Engineer at Google DeepMind, you will apply advanced machine learning models to tackle real-world problems, rapidly prototype concepts, and design experiments. You will work in collaboration with engineers, product partners, and researchers to see your work make a difference, contributing to impactful projects like Gemini experiences.

The People & Culture Partner at Google DeepMind focuses on enhancing team performance and leadership capabilities through proactive coaching and innovative HR practices. They provide strategic guidance, support projects related to culture building, and foster strong relationships within the organization.

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.

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.

As a Research Engineer at Google DeepMind, you will conduct research to enhance the safety and effectiveness of Gemini pre-trained models. Responsibilities include designing evaluation protocols, writing high-quality code, and exploring algorithmic solutions for improving model safety and fairness. You will collaborate with other AI research groups to address crucial safety challenges.

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.

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.

The Research Engineer role at Google DeepMind focuses on optimizing model design for Gemini pretraining, enhancing LLM quality, and using various techniques for dataset curation. Responsibilities include inferencing efficiency and collaboration on model preparation stack from pretraining to serving.