Search the 22 jobs at Deepmind

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.

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.

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.

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.

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.

The Product Manager will collaborate with research teams and product groups within Google Cloud to develop product roadmaps, build partnerships, influence product direction, and ensure product success through strategic decision-making and collaboration.

As a Research Scientist at Google DeepMind, you will develop novel multimodal large language model architectures focused on integrating diverse modalities like text, images, audio, and video. Responsibilities include enhancing planning and reasoning capabilities, investigating post-training techniques, and evaluating applications that create personalized AI experiences.

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.

Technical Program Manager role at Google DeepMind to support Robotics research initiatives in advancing Embodied AI goals through program management methodologies and strategic partnerships.