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Artificial Intelligence could be one of humanity’s most useful inventions. At 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 AI agents become more capable and autonomous, they introduce an entirely new frontier of security challenges. This role is about setting the multi-year vision for the fundamental security paradigms required to ensure agents remain safe, aligned, and resilient against attack as they advance toward AGI.
You will be the single-threaded product owner responsible for the strategy that addresses the full spectrum of agent-related threats, including Prompt Injection, Anti-Distillation, and other novel Threats against AI. Your scope will also include defining the product roadmap for ensuring System Integrity and developing the foundations for long-term AGI Control.
The "product" is the end-to-end security posture and resilience of our agentic systems. You will own and navigate the complex trade-offs between agent capability, research velocity, and security, influencing and aligning senior leadership across Google to chart our path for deploying trustworthy agents.
Key responsibilities:
In order to set you up for success as a Senior Product Manager at Google DeepMind, we look for the following skills and experience:
In addition, the following would be an advantage:
The US base salary range for this full-time position is between $240,000 - $334,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.
Application deadline: April 8, 2026
At 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, maternity 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.
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Google DeepMind is seeking a visionary Technical Program Manager to serve as the strategic catalyst for our most ambitious research initiatives. As a master of the TPM craft, you possess the rare ability to translate complex technical research and engineering efforts into detailed execution plans and rigorously drive them to completion. You bring an advanced command of program management methodologies and technical processes, proactively leveraging AI-driven workflows to accelerate research velocity and scale your impact. You blend creative, high level problem solving with the deep technical due diligence required to shape architecture and build credibility with world class scientists. By co-developing strategies and scalable roadmaps, you lead through influence, transforming immense technical ambiguity into a mission that people want to follow and results that deliver global scientific impact.
About Us
At Google DeepMind, we believe AI is a transformative force for humanity. Our multidisciplinary team of scientists, engineers, and ethicists is dedicated to advancing the frontier of machine learning through rigorous discovery and responsible innovation. We tackle the world's most complex challenges, prioritizing safety and ethics as we pioneer technologies that drive scientific progress and deliver widespread public benefit.
As a TPM in Frontier Research, you will navigate immense technical complexity and manage critical cross-functional dependencies at the leading edge of AI. You will apply deep technical expertise to perform engineering due diligence, influence high-level architecture, and accelerate the delivery of research. This role demands an exceptional ability to provide clarity within ambiguous environments and implement creative solutions for driving highly technical programs in a fast-paced, competitive scientific landscape.
You will drive real impact across Frontier AI domains, navigating the full model lifecycle. Technical knowledge in high efficiency on device architectures, multimodal understanding, V&V of AI systems, or RAG is beneficial but not required.
The US base salary range for this full-time position is between $163,000 - $237,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.
Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy.
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.
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Snapshot
The Gemini App 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.
About Us
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're a world-leading AI research company, pushing the boundaries of what's possible with artificial intelligence. Our groundbreaking research spans areas like machine learning, neuroscience, and systems engineering, with applications ranging from scientific discovery to creating more helpful and intuitive products. We're committed to developing AI responsibly and ethically, and we foster a collaborative and inclusive environment where brilliant minds come together to tackle some of the world's most challenging problems. Join us and be part of a team that's shaping the future of AI.
The Integrated Assistance team contributes towards this mission by making Gemini a personalized universal assistant that is natively present across devices and apps. We unlock useful generative AI experiences through deep OS and app integrations, including the quick access Android overlay, embedded app entry points, and novel screen context capabilities. As shepherds of the largest volume surfaces in Gemini, we aim to guide users to understand the value of generative AI, including unique capabilities outside of the full screen Gemini app. We are a global team with designers based in Europe and US, and engineering and product partners in those locations as well as India. We partner closely with other UX designers in the Gemini App team, including research and modelling.
Role
We are seeking a highly experienced, self-starting, and innovative Staff AI Product Designer to join our Gemini Integrated Assistance Team. 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. You will be involved in all aspects of the design process, from conceptualization and ideation to prototyping and implementation in a fast-moving and highly collaborative environment.
Responsibilities:
Minimum Qualifications
Preferred Qualifications
The US base salary range for this full-time position is between $178,000 USD - $265,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.
Application deadline:
Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy
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.
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Our team operates at the frontier of modern recommender systems. With a proven track record of innovating and deploying novel deep learning algorithms and systems at scale, we are currently focused on building the next-gen Large Recommendation Models by bridging the gap between LLMs and complex behavioral signals. Our research explores user & item tokenizations, continued pre-training, and advanced fine-tuning techniques to build recommendations-native foundation models. Our mission is to transform the landscape of recommendation systems using the most advanced AI technologies, delivering massive impact across Google’s flagship products.
As a Research Scientist, you will have the opportunity to build new paradigms using Large Language Models, harnessing the advanced content understanding, long-context, and reasoning capabilities. You will play a pivotal role in exploring how to integrate data from recommendation domains into foundation models, enabling new capabilities through data curation, Supervised Fine-Tuning (SFT), Reinforcement Learning (RL) training, and more.
Key responsibilities:
We are seeking a Research Scientist who can drive new research ideas from conception and experimentation through to productionisation. In this rapidly shifting landscape, we regularly invent novel solutions to open-ended problems. You should be flexible, adaptable, and comfortable pivoting when ideas don’t work out.
In order to set you up for success as a at Google DeepMind, we look for the following skills and experience:
In addition, the following would be an advantage:
What We Offer
At Google DeepMind, we want employees and their families to live happier and healthier lives, both in and out of work, and our benefits reflect that. Some select benefits we offer: enhanced maternity, paternity, adoption, and shared parental leave, private medical and dental insurance for yourself and any dependents, and flexible working options. We strive to continually improve our working environment, and provide you with excellent facilities such as healthy food, an on-site gym, faith rooms, terraces etc.
We are also open to relocating candidates to Mountain View and offer a bespoke service and immigration support to make it as easy as possible (depending on eligibility).
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We are seeking strong Research Scientists with expertise in AI research and experience in interdisciplinary sociotechnical modeling to join a multimodal safety research effort within Google DeepMind's Frontier AI unit. This role requires a passion for understanding and modeling the interactions between AI and society, a strong awareness of the AI alignment and safety landscape, and a penchant for developing novel ideas, methods, interfaces, and tools.
This is a unique opportunity to contribute to impactful research and advance Google DeepMind's mission towards Artificial General Intelligence (AGI).
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 and ultimately achieve Artificial General 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 a dedicated scientific community, committed to “solving intelligence” and ensuring our technology is used for widespread public benefit.
We’ve built a supportive and inclusive environment where collaboration is encouraged and learning is shared freely. We don’t set limits based on what others think is possible or impossible. We drive ourselves and inspire each other to push boundaries and achieve ambitious goals.
Our team is a part of Google DeepMind's Frontier AI unit. We have a mission to advance the frontiers of safety and inclusion in multimodal AI, build new capabilities into Google's flagship models and products, and break new ground on AI alignment. We approach alignment research with an ecosystem view, partnering across the development and deployment cycle and grounding our work in real-world impact on global users and communities. We are a research team with a mandate to invest in longer term bets and explore innovative approaches that deliver breakthrough improvements to models (Gemini) and products. Our work is at the frontier of augmented oversight for multimodal AI, and our research advances have directly impacted multiple versions of Gemini and Nano Banana models.
We are seeking strong Research Scientists with expertise in AI research and experience in interdisciplinary sociotechnical modeling, to lead new breakthrough research directions.
You will join a team working to supercharge exploration, assessment, and steering of evolving AI behaviors, with a focus on subjective and creative tasks. You will tackle the underlying research questions to improve collaborative specification of alignment objectives and assessment of adherence to desired behaviors. You will research new methods to enable AI agents to monitor real-world social context and dynamically evaluate and evolve system behaviors over long time-horizons. You’ll develop new paradigms for human+AI rating that considers systemic behaviors, adapts to human feedback, and proactively seeks context.
Research Scientists at Google DeepMind lead the development of novel tools and algorithms to solve Artificial General Intelligence. Joining from top academic or industrial labs, they collaborate across fields to tackle fundamental AI questions using expertise in deep learning, computer vision, and generative architectures. This role requires independent judgment to navigate complex, ambiguous problems and explore diverse technical avenues. Your work will drive breakthroughs within GDM, Google products, and the AI alignment community.
In order to set you up for success as a Research Scientist at Google DeepMind, we look for the following skills and experience:
Requirements:
In addition, the following would be an advantage:
The US base salary range for this full-time position is between 147,000 USD - 211,000 USD + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.
Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy.
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.
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Kaggle is the world’s largest AI and ML developer community with over 5.6 million monthly active users and 30 million registered users. Kaggle is currently evolving from static ML competitions to becoming a trusted industry standard for AI evaluation with community at its heart. As a Senior Product Manager at Kaggle, you will be at the forefront of driving this transformation, leading initiatives across our AI evaluation platform, community growth, and cutting-edge research to define "what works" in the modern AI landscape.
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.
Within Google DeepMind, Kaggle operates as an independent brand with a vital mission: to help the world understand what works (and what doesn't) in AI. We empower a community of researchers, developers, and frontier labs by providing the ultimate arena to learn, build, and evaluate the next generation of AI systems.
To tackle Kaggle’s ambitious mandate, we are expanding our product team with multiple hires. We are looking for action-oriented, "AI native" leaders who can help a team execute efficiently in a highly ambiguous environment. Rather than forcing a one-size-fits-all role, we will align your specific product portfolio with your unique superpowers. Whether your strength lies in building robust developer platforms, scaling global developer communities, or productizing frontier AI research, you will play a pivotal role in redefining how the industry evaluates AI.
Key responsibilities:
In order to set you up for success as a Senior Kaggle Product Manager at Kaggle within Google DeepMind, we look for the following skills and experience:
Requirements
In addition, the following would be an advantage:
The US base salary range for this full-time position is between $192,000 USD - $278,000 USD + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.
Application deadline: March 24, 2026
Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy
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.
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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 looking for Research Scientists to join the Robotics team whose mission is to “Build embodied AI responsibly to benefit people in the physical world. This role is focused on ensuring safe humanoid robot actions spanning agentic reasoning, HRI scenarios, and physical safety with VLA models.
Research Scientists work on a diverse and stimulating range of projects including: inventing algorithms and prototype applications, working with real robots in the lab and outside the lab tackling real world use cases. Research Scientists work in large collaborative teams to make cutting edge breakthroughs to advance Robotics AI. We believe large foundation models will transform general purpose Robotics like with our Gemini Robotics models. This role will involve working with a diverse multi-functional team that builds the future of robotics.
Key responsibilities:
In order to set you up for success as a Research Scientist at Google DeepMind, we look for the following skills and experience:
In addition, expertise with a subset of the following would be an advantage:
The US base salary range for this full-time position is between $141,000 - $202,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.
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.
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This is a critical and high impact strategic role that will drive AI strategy, infrastructure investments and AI product portfolio optimization across Google. The role sits within Google DeepMind’s Technology Strategy (TechStrat) function and is a leadership role within Techstrat’s Compute team. Since compute has become the key ingredient for AI model leadership, AI serving success and next generation AI research, this leader will drive high impact decisions that will define the success of Google, with implications on the future of AI for the world.
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 one of the key senior leaders of the compute Tech Strategy team, this role will own the success of our AI strategy by driving the maximal product impact for Google and AI impact for humanity. This leader will have the responsibility of framing key strategic decisions for our SVP+ leadership group based on deep analysis of the situation including value at stake from AI investments, investment optimization options, Industry understanding, financial modeling, product strategy analysis and understanding. They will be constantly looking for opportunities to push the envelope of impact from our investments in AI and inspire the team to do the same. This leader will also drive the synthesis of the situation into SVP+ consumable frameworks and crisp grounded and data backed options. They will then ensure the strategy is executed flawlessly partnering with a multitude of cross functional teams and stakeholders.
Personally drive and amplify impact through leading a team to
Are you a PM who thrives as both a central hub orchestrating complex and long running investigations AND a rapid iteration IC who can quickly create something out of nothing and move on to the next thing? This is the job for you. In both cases, you must be able to concisely communicate the merits & risks of multiple scenarios in documents that will get circulated broadly and to some of the most senior folks at the company. If you have high energy, a positive attitude, strong tech judgment, excellent interpersonal skills, and are excited to handle complex pan-Google topics and SVP audiences, this job will offer an opportunity to have a massive company-wide impact.
In order to set you up for success as a Product Manager at DeepMind, we look for the following skills and experience:
In addition, the following would be an advantage:
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.
Application deadline: 13th Feb 2026
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Support the analytical and operational frameworks that enable Leadership (SVP+) decision forums to govern compute utilization and planning. You will be responsible for translating complex data into the strategic insights that align DeepMind and Google’s broader 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
You are a Product Manager who thrives in high-velocity, high-intensity environments where the stakes are massive and the pace is relentless. You are an execution-oriented IC who can quickly create "something out of nothing," iterate based on feedback from senior leaders, and move immediately to the next challenge.
This role is for you if:
At 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, maternity 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.
Application deadline: 13th Feb 2026
Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy.
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Snapshot
We are looking for a research scientist who will drive research in Gemini for information tasks. The candidate will primarily work on post-training, but could potentially also work on model-external interventions.
About Us
Our team works on improving Gemini on tasks where users interact with the model to complete information journeys; this includes improving helpfulness and factuality of Gemini models. To this end, we have developed novel post-training innovations to improve the quality, groundedness and factuality of Gemini models in search on mode. Our work impacts product surfaces including AI Mode, Gemini App, AI Studio and Vertex AI.
The Role
In this role, we expect the candidate to work on improving Gemini for information tasks, focusing on quality of information-seeking responses (helpfulness, factuality, grounding, and other aspects). It is an opportunity to explore fundamental issues in modeling and data interventions for information-seeking scenarios, with very significant opportunities in shaping Google’s products in this space.
Key responsibilities:
About You
In order to set you up for success as a at Google DeepMind, we look for the following skills and experience:
In addition, the following would be an advantage: (require maximum of 5 and minimum of 3 items)
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