The Bard Design team is instrumental in building the Gemini Universal Assistant, the conversational AI that people around the world use to collaborate with generative AI to fuel their imagination, expand their curiosity, and enhance their productivity. We're building innovative ways for people to get things done & enrich their lives. Our Design team is dedicated to developing the world's useful generative AI experiences.
This Research Team at Google Deepmind tackles challenging research problems in online information quality. We develop cutting-edge solutions to detect and understand various forms of misleading presentations of information and manipulated media and their online discourse.
Snapshot: At Google DeepMind, we've built a unique culture and work environment where long-term ambitious research can flourish. We are seeking a highly motivated Hardware Engineer to join our team and contribute to development of groundbreaking silicon for machine learning inference acceleration.
Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.
We are seeking an experienced engineer and manager to lead a small team (3-6 people initially) of talented performance engineers and have hands-on impact on our projects. The team’s mission is to contribute to enhancing the performance of state-of-the-art ML models on hardware accelerators. You will lead a team dedicated to developing and optimizing the most critical parts of our models, at scale for use throughout Alphabet. This involves working across the stack, from ML frameworks to compilers, in collaboration with AI researchers, to deliver advanced features with maximum efficiency.
Advance research in understanding large language models by considering controllability as a dual problem with understanding.
At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.
Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.
Our team builds the Android & iOS Gemini app. The app experiences are one of the main ways for users to get access to the power of LLMs. The most innovative developers and designers work together in small pods to build products that are used by millions. Engineers work side by side with Product and UX in a fast, creative atmosphere. Our team members are self-sufficient and problem solvers. We are looking for people who are passionate about app development, and who are always one step ahead in development platforms, new functionality and APIs.
Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.
We’re looking for engineers who are passionate about building software infrastructure. You will be part of a small team conducting exploratory research and engineering towards designing hardware systems using AI. You will have an opportunity for strong impact. No machine learning experience required. Some knowledge in hardware design (from chips to datacenters) would be a plus, but it is not a requirement.
Are you an experienced Software Engineer ready to make a significant contribution, developing the data foundations and AI-powered solutions that will transform how our organization operates and innovates?
The Machine Learning and Optimization (MLO) team at Google DeepMind India is driven by the mission of enabling ultra-efficient, adaptable, and performant large models for everyone.
The Languages team at Google Deepmind India is driven by a mission to make AI more linguistically inclusive. We push the boundaries of multilingual and multimodal Large Language Models (LLMs). Our work also encompasses modularity and composition, aiming to make LLMs more responsible and culturally aware. Furthermore, we prioritize methods for high quality data curation and representative evaluation to ensure that our advancements are inclusive and reflective of diverse linguistic contexts and user needs. In addition to fundamental research, we apply our research advances in critical product launches in Google, touching the lives of hundreds of millions of users, and we are looking forward to doing more!
We are seeking a Forward Deployment Engineer, Applied AI to develop and deploy novel applications, leveraging Google’s generative AI models. This role focuses on rapidly developing new features, and working across partner teams to deliver solutions, and maximize impact for Google & top Google customers. You will be instrumental in translating cutting-edge AI research into real-world products, and demonstrating the capabilities of 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 & business impact.
Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.
The Product team collaborates closely with a wide variety of teams across Google/Alphabet, leveraging Google DeepMind expertise to deploy advanced machine learning algorithms with the goal of improving Alphabet products and services.
We are seeking a research scientist to join our team dedicated to investigating the development of core technologies for audio generative models. In this role, you will engage in cutting-edge research into core technologies underpinning next-generation generative models, while simultaneously contributing to the rapid integration of these advancements into Google products.
At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.
Our special interdisciplinary team combines the best techniques from deep learning, reinforcement learning and systems neuroscience to build general-purpose learning algorithms. We have already made a number of high profile breakthroughs towards building artificial general intelligence, and we have all the ingredients in place to make further significant progress over the coming years.
As part of the multimodal features team in Media Understanding at Google DeepMind, you will have the opportunity to advance the state-of-the-art research in Embedding/representation models in context of large language models. You'll be at the forefront of developing models that power Google products used by billions of people worldwide. Your work will directly impact how these products understand and interact with diverse media, including text, images, audio, and video. This is a unique opportunity to shape the future of multimodal AI and its applications in a dynamic and impactful environment.
Gemini UX’s charter is to create a personalized, intelligent, and helpful AI, on web and mobile, that’s seamlessly integrated across Google apps with state-of-the-art multimodality. The Gemini UX team is made of dedicated and talented content designers, conversation designers, UI designers, researchers, UX engineers, and PgMs who are passionate about creating the best possible experience for our users. We work in a fast-paced, highly collaborative environment with team members across Search, Trust & Safety, Policy, Workspace, Android, and Responsible AI.
We are seeking a Forward Deployment Engineer, Applied AI to lead the development and deployment of novel applications, leveraging Google’s generative AI models. This role focuses on rapidly developing new features, and working across partner teams to deliver solutions, and maximize impact for Google & top Google customers. You will be instrumental in translating cutting-edge AI research into real-world products, and demonstrating the capabilities of 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 & business impact.
Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.
Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.
We are seeking a highly motivated and versatile Archive Manager / Filmmaker for a 12-month fixed term contract. This exciting role will be a part of Google DeepMind’s Creative team but will work closely with external documentary filmmakers.
This is a key strategic role for GDM and is part of the critical planning and delivery of the right technology capacities to deliver on our mission. This role is part of Google DeepMind’s (GDM) Technology Strategy team cutting across technical strategy in areas like compute, data, and Gemini. This role requires a unique combination and application of deep financial, business, technical, and organizational understanding. The role will navigate how GDM and wider Google maximally leverage our multi-year $XXB compute budget as it relates to the GDM Mission, Gemini, and wider Google impact.
Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.
The Gemini Multilinguality team is responsible for improving the quality and language coverage of Gemini, and ensuring its responses are locally and culturally relevant. There are several ongoing workstreams: • Improving quality of pretraining data and language coverage, • Improving quality and language coverage of instruction-tuned models • Enabling faster and more robust iteration on research via better evaluation benchmarks, autorater models, and novel uses for human data. • Closely collaborating with Cloud, Search, Translate, Workspace, and others to bring the latest i18n research to Google users. Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. The Gemini Multilinguality team is seeking a Research Scientist to help us improve the quality and language coverage of Gemini. The successful candidate will have a strong track record of research in natural language processing, machine learning, and/or artificial intelligence, with a particular focus on multilingual modeling. Gemini is an ongoing effort from Google DeepMind to build state-of-the-art large language models trained on a massive multilingual and multimodal dataset. It can be used for a variety of tasks, including machine translation, text summarization, question answering, and dialogue generation. • Conduct research on multilingual language models, with a focus on improving quality, language coverage, safety, and factuality. • Develop new methods for scalable high-quality language expansion, data quality validation, and evaluation. • Evaluate the performance of multilingual language models on a variety of tasks. • Work with the Cloud, Search, and Workspace teams to integrate your research into models adapted for these surfaces. • Collaborate closely with other researchers on the Gemini Multilinguality and adjacent teams.
This role sits within the Reward & Recognition team; a current team of six based in London and the US, embedded within our wider People & Culture team. You will be managed by a US-based Partner, and collaborate closely with the global team. This position is available on a fixed term contract of 12 months.
We are looking for an experienced Social Media Content Creator to join the Communications team to maintain and grow Google DeepMind’s priority social media channels, deepen digital brand engagement, and drive positive sentiment.Reporting into the Social Media and Influencer Engagement Lead, you will work with teams across the organisation to curate and create social-first storytelling to bring our research, work and impact to life, support with and deliver integrated comms and marketing campaigns, and promote greater awareness and understanding of our work among target audiences - including AI superfans, tech enthusiasts and developers. The ideal candidate preferably has extensive experience in social media marketing, either as an independent creator, within the tech sector or for a recognisable brand - and is excited about the opportunity to craft stories on how AI could be one of humanity’s most useful inventions.
Spearhead the development and deployment of cutting-edge multimodal AI models for Gemini, directly shaping the future of how users interact with image, video, and audio content across Google's platforms. This role demands a deep understanding of SOTA research and the ability to translate it into scalable, production-ready solutions.
As an Executive Communications Manager, you’ll be responsible for preparing Executives for external engagements that protect and enhance Google DeepMind’s reputation. This role is pivotal in helping develop, shape, and communicate the Google DeepMind story to external audiences.
We are looking for an experienced Social Media Content Creator to join the Communications team to maintain and grow Google DeepMind’s priority social media channels, deepen digital brand engagement, and drive positive sentiment.Reporting into the Social Media and Influencer Engagement Lead, you will work with teams across the organisation to curate and create social-first storytelling to bring our research, work and impact to life, support with and deliver integrated comms and marketing campaigns, and promote greater awareness and understanding of our work among target audiences - including AI superfans, tech enthusiasts and developers. The ideal candidate preferably has extensive experience in social media marketing, either as an independent creator, within the tech sector or for a recognisable brand - and is excited about the opportunity to craft stories on how AI could be one of humanity’s most useful inventions.
The Gemini Agents PM lead will lead a team of PMs focused on developing Gemini’s next generation of Gemini’s capabilities, including pushing the frontier of agentic capabilities, improving the model’s thinking abilities, and partnering with product teams across Google to develop incredible agentic experiences.
The code PM will be responsible for setting and driving a strategy for Gemini’s coding ability, with the goal of making Gemini the best models for developers both within and outside Google.
We are looking for engineers who are passionate about building software for Electronic Design Automation (EDA) and are willing to roll up their sleeves and get things done. This is a hands-on coding role to help invent, implement and exploit new ideas in EDA and an exciting opportunity to build technology from the ground up to fundamentally impact the future of electronic design.
Join Google DeepMind's high-visibility AI Studio and Gemini API team and shape the future of AI development! As a QUXR, you will do research and develop metrics that directly inform strategy for a product that empower developers worldwide. Collaborate closely with product managers, TPMs, and engineers to design, develop, and deploy scalable, high-performance AI solutions. Thrive in a fast-paced, innovative environment where your technical expertise and passion for AI will directly impact Google's AI strategy.
Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.
We are seeking a software engineer to define, drive, and critically contribute to the next generation of the state-of-the-art ML models on TPU. As part of the Pre-Training team you will co-design the model, and implement critical components across Model architecture, ML frameworks, custom kernels and platform, to deliver frontier models with maximum efficiency.
Google DeepMind has a remarkable track record of scientific breakthroughs. Such extraordinary work is a direct result of the brilliant and diverse people we bring together. Our People & Culture team work together to maintain, optimise, and nurture our culture to create the best environment in the world for advancing AI research. A place where everyone’s expertise is recognised and where everyone is continually learning and supported to be the best leaders, managers, and collaborators they can be.
The Robotics Operations team is looking for a Technical Program Manager to support the Google DeepMind Robotics research organization by providing robot platforms, lab spaces, data collection and policy evaluation resources to solve "Embodied AI."
We’re looking for an extraordinarily capable and enthusiastic individual to work closely on a high-performing team, responsible for in-house consulting projects to help Google DeepMind leadership answer strategic questions essential to Google DeepMind’s success, including realising the most impactful applications of our research. This role is integral to the achievement of Google DeepMind’s mission and requires someone who can bridge Google DeepMind research and Google’s industry-leading products, platforms and technologies to pave the way towards an inclusive AGI-enabled future.
Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.
As an Internal Communications Manager, you’ll play an important role in helping to develop, shape and communicate the Google DeepMind story. You’ll be a thought partner to leads and stakeholders across the company to help communicate our vision, roadmap, achievements and initiatives, ensuring everyone across the company understands how their work connects to our mission and that the activity we do as an Internal Comms team is always aligned to this outcome.
Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.
At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.
Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.
Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensurig safety and ethics are the highest priority.
Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.
Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.
As an Operations Manager in the International Operations Team, you will partner closely with local leaders and global operational teams to ensure an exceptional work experience across a subset of our global office locations. You will be a conduit for information across borders and act as a beacon for the Google DeepMind culture and values, motivating change, and engaging your stakeholders through the planning and delivery of programs, processes, events and other initiatives.
Are you an experienced Analytics Engineer looking for your next role?
Google DeepMind is at the forefront of artificial intelligence research and development. Our diverse team pushes AI boundaries for positive impact, collaborating ethically and safely on real-world challenges.
The Gemini Pre-Training team is developing the next generation of large models, pushing the boundaries of what's possible in AI. This team is responsible for the critical first step: pre-training these models at a massive scale. This requires incredibly precise planning and execution, as each training run is a significant investment. As a Technical Program Manager, you'll play a vital role in ensuring these complex projects run smoothly and efficiently, collaborating with researchers, engineers, and other teams across Google DeepMind. Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. As a Technical Program Manager on the Gemini Pre-Training team, you will be a key contributor to the successful execution of large-scale model pre-training runs. You will work closely with research scientists, engineers, and other TPMs to plan, track, and manage the various aspects of these complex projects. You'll be responsible for ensuring that projects stay on schedule, resources are used effectively, and risks are proactively identified and mitigated. This role requires a strong technical understanding of machine learning, excellent organizational skills, and the ability to work effectively in a fast-paced, collaborative environment.
You are an experienced Machine Learning Engineer with a strong engineering and research background who is excited about improving safety and alignment of the "Gemini" end-user product, delivering state-of-the art language models to our users.