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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.
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.
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.
The People & Culture Partnering Lead will partner with leaders to drive high performing teams by designing people and culture solutions aligned with organizational goals. Responsibilities include strategic guidance, assessing leadership effectiveness, addressing complex problems, and using data-driven approaches to enhance productivity.
As a Technical Program Manager at Google DeepMind, you will help manage the ML Hardware portfolio by working with product managers and engineers. Your responsibilities include analyzing hardware requirements, optimizing resource allocation, supporting pilot programs, and producing documentation to aid in efficiency and communication.
The Research Scientist will focus on enhancing the quality and language coverage of Gemini's multilingual models. Responsibilities include conducting research on multilingual language models, developing scalable data quality validation methods, evaluating model performance, and collaborating with internal teams to integrate research findings.
As a Research Scientist on the Mint Team at Google DeepMind, you will conduct research on misinformation by developing algorithms, designing experiments, analyzing data, and publishing findings. You'll collaborate with peers and lead projects related to machine learning solutions for media integrity.
As a Technical Program Manager, you'll utilize program management methods to execute multiple initiatives, collaborating with product managers, researchers, and engineers to define project goals and scope, while ensuring effective communication between technical and non-technical teams. You will also troubleshoot technical challenges and evaluate proposals based on feasibility.
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.
