Google DeepMind

The mission of Agents Innovation is to create a powerful innovation flywheel that accelerates the development of next-generation agents, delivering continuous model improvements to Gemini and enabling seamless agentic deployment across Google’s product ecosystem. As a Technical Program Manager for Agents Innovation, you will be at the heart of this flywheel. You will bring the execution excellence to de-risk research bets and bring the latest Incubations to our users. You will drive the technical execution of programs that turn breakthrough agentic capabilities into production-ready models that power Gemini and Google products.

We are seeking a Research Engineer to lead the development and deployment of novel applications, leveraging Google’s generative AI models. This role focuses on rapidly developing new features, working across partner teams to deliver solutions, and maximizing impact for Google and its top customers. You will be instrumental in translating cutting-edge AI research into real-world products and demonstrating the capabilities of the latest generation models. We are looking for engineers with a strong track record of building and shipping software, ideally with experience in early-stage environments where they have contributed to scaling products from initial concept to production. The ideal candidate will be motivated by the opportunity to drive product and business impact. This role requires a strong software engineering foundation and a passion for building and iterating on software products, using state-of-the-art GenAI tools. We are looking for engineers who thrive in fast-paced environments and have a proven ability to deliver high-quality code. Experience in prototyping, building, and scaling software is essential. We particularly value experience in early-stage or startup environments, where engineers take ownership and drive product development from the ground up.

Google DeepMind is seeking a Research Engineer to join their materials science team. This role involves accelerating the discovery of new functional materials by integrating artificial intelligence, computational simulation, and automated experimentation. You will collaborate with a diverse interdisciplinary team of domain experts, ML researchers, and engineers. The work focuses on pioneering research in various scientific domains, enabling the validation of early ideas and building infrastructure for promising research lines. You will contribute your scientific domain knowledge to the team's collective expertise.

$141k - $202k

Google DeepMind's research team is dedicated to tackling complex challenges in online information quality, advancing the state of the art by developing innovative solutions to detect manipulated media and misleading narratives. The team leverages interdisciplinary work spanning provenance analysis and the creation of tools for AI-assisted information literacy, with a focus on ensuring the integrity of digital discourse and a safer online environment. This role involves researching and building multimodal reasoning systems and Vision-Language Models (VLMs) to assess the trustworthiness of media on the internet, with a passion for advancing information literacy using machine learning and computational techniques.

$174k - $252k

Google DeepMind is seeking a Senior Psychologist to join the Responsible Development & Innovation (ReDI) team. This role is pivotal in ensuring advanced AI models interact with people in healthy and developmentally appropriate ways, aligning with Google DeepMind's values. You will leverage your deep expertise in psychology to proactively identify and address potential ethical and well-being implications of AI technologies, engaging with senior stakeholders. The position requires intellectual agility to quickly grasp diverse topics and a strong foundation in psychological principles, particularly as they relate to human-computer interaction. While the primary focus is on developing internal guidelines and informing AI development, opportunities for external publication may arise.

$174k - $258k

At Google DeepMind, we're advancing the state of the art in artificial intelligence, using our technologies for public benefit and scientific discovery. The Gemini App is at the forefront of the AI revolution, bringing generative AI experiences to users globally. We are seeking a visionary Design Leader to define the future of our product. In this critical role, you will be responsible for defining and visioning the user experience, driving design excellence, and fostering a culture of innovation across Gemini. You will work closely with product management, engineering, and research teams to deliver an intuitive, powerful, and aesthetically pleasing experience for users worldwide.

$323k - $449k

We are seeking a Technical Lead Manager to lead the development and deployment of novel applications, leveraging Google’s generative AI models. This role focuses on rapidly developing new features, working across partner teams to deliver solutions, and maximizing impact for Google and its top customers. You will be instrumental in translating cutting-edge AI research into real-world products and demonstrating the capabilities of the latest generation models. We are looking for a leader with a strong track record of building and shipping software, and leading engineering teams, ideally with some experience in early-stage environments where you may have contributed to scaling products from initial concept to production. The ideal candidate will be motivated by the opportunity to drive product and business impact, and develop strong relationships with research teams. This role requires a strong software engineering foundation, a passion for building and iterating on software products, and proven leadership skills. We are looking for a leader who thrives in fast-paced environments and has the proven ability to deliver high-quality code and guide a team to success. Experience in end-to-end development is essential, as is the ability to mentor and develop junior engineers. We particularly value experience in early-stage or startup environments, where managers take ownership and drive product development from the ground up.

At Google DeepMind, we aim to unlock state-of-the-art artificial intelligence capabilities across Alphabet, creating positive impact and magical product experiences for billions of users. We are seeking a highly experienced, self-starting, and innovative Staff AI Product Designer focusing on our Growth and Discovery initiatives. As a key member of our team, you will work hand-in-hand with engineers, research scientists, and product managers to design and build intuitive solutions to help people around the world use Google’s best AI models to enrich their lives and realize their potential. You will play a crucial role in shaping the future of how people interact with AI, involved in all aspects of the design process, from conceptualization and ideation to prototyping and implementation in a fast-moving and highly collaborative environment.

Google DeepMind's Frontier AI unit is seeking experienced Research Scientists to join a multimodal safety research effort. This role focuses on interdisciplinary sociotechnical modeling and requires a passion for understanding AI-society interactions, a strong awareness of AI alignment and safety, and a drive to develop novel ideas, methods, interfaces, and tools. You will contribute to advancing the state of the art in AI research and Google DeepMind's mission towards Artificial General Intelligence (AGI), with a focus on leading new breakthrough research directions in areas like AI behavior exploration, assessment, and steering, particularly for subjective and creative tasks. The work involves tackling fundamental research questions to improve alignment objectives, assess adherence to desired behaviors, and enable AI agents to monitor real-world social context and evolve system behaviors over long time-horizons. You will develop new paradigms for human+AI rating that are adaptive and context-aware, driving breakthroughs within Google DeepMind, Google products, and the broader AI alignment community.

The Gemini Safety team at Google DeepMind is responsible for the safety and fairness of the latest Gemini models. As a Research Scientist/Engineer, you will apply and develop cutting-edge data and algorithmic solutions to advance these user-facing models. This is a fast-paced, highly collaborative role within a supportive team dedicated to pushing the boundaries of AI for public benefit and scientific discovery, with safety and ethics as the highest priorities.

The Gemini App Design team is instrumental in building the Gemini Universal Assistant, a conversational AI designed to help people collaborate with generative AI for imagination, curiosity, and productivity. We are building innovative ways for people to get things done and enrich their lives, with a dedicated team focused on developing the world's most useful generative AI experiences. At Google DeepMind, we aim to unlock state-of-the-art artificial intelligence capabilities, creating positive impact and magical product experiences for billions of users. We are a world-leading AI research company pushing the boundaries of AI, committed to developing AI responsibly and ethically in a collaborative and inclusive environment.

This is a critical and high-impact strategic leadership role within Google DeepMind’s Technology Strategy (TechStrat) function, specifically on the Compute team. The role will drive AI strategy, infrastructure investments, and AI product portfolio optimization across Google. As compute is a key ingredient for AI model leadership, serving success, and next-generation research, this leader will make high-impact decisions that will define Google's success and influence the future of AI globally. The position involves framing key strategic decisions for senior leadership based on deep analysis of AI investments, optimization options, industry understanding, financial modeling, and product strategy. The goal is to maximize product and AI impact for Google and humanity, ensuring strategies are executed flawlessly through cross-functional partnerships.