At Google DeepMind, we're committed to equal employment opportunities and value diversity of experience, knowledge, backgrounds, and perspectives. We're pursuing a ground-breaking research program in materials, aiming to accelerate the discovery of new functional materials by combining the predictive power of artificial intelligence (AI) and computational simulation with automated experimentation.
\nAs a Research Engineer, Materials Science, you'll join an interdisciplinary team of domain experts, ML researchers, and engineers exploring a diverse set of important scientific problems in materials science, physics, quantum chemistry, and other areas. Our work is organised into several longer-term focus areas, which aim to achieve step changes to the state-of-the-art.
\nKey responsibilities:
\nAbout you:
\nIn addition, one or more of the following would be strongly preferred:
\nAt Google DeepMind, we're committed to equal employment opportunities and value diversity of experience, knowledge, backgrounds, and perspectives. We're pioneering research in materials science, combining AI and computational simulation with automated experimentation. As a Research Engineer, you'll collaborate with an interdisciplinary team to develop infrastructure for running experiments and help researchers explore new applications of AI and LLMs to materials science.
\nKey responsibilities include:
\nAbout you:
\nIn addition, one or more of the following would be strongly preferred:
\nWe are seeking a highly experienced, self-starting, and innovative Staff AI Product Designer focusing on our Growth and Discovery initiatives.
\nAs 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 realise their potential.
\nYou will play a crucial role in shaping the future of how people interact with AI.
\nResponsibilities:
\nMinimum Qualifications:
\nAbility to understand the broader implications of AI technologies and design experiences that are ethical, accessible, and impactful.
\nPreferred Qualifications:
\nWe're seeking a visionary Design Leader to lead the strategy that will define the future of our product, Gemini App. This critical role involves defining and visioning the user experience, driving design excellence, and fostering a culture of innovation across Gemini.
\nKey responsibilities include: Architecting the AI-UI Bridge: Design the technical frameworks for iOS and Android that handle non-deterministic AI outputs (streaming audio/visuals) with zero jitter and maximum fluidity. Performance Engineering: Own the 'Gold Standard' for mobile UI latency. Optimize rendering and state management to handle complex multimodal requests without compromising battery life or device thermals. AI-Augmented Tooling: Build and deploy internal 'Design-to-Code' pipelines that allow the design team to use Gemini to automate UI generation and live-model prototyping. Technical North Star: Establish UX best practices for emerging technologies or ambiguous problem spaces. Mentor senior individual contributors and engineers at the intersection of UI development and AI inference.
\nTo succeed, you will require: Minimum 15+ years of experience in User Experience / Design, with experience establishing UX best practices for emerging technologies or ambiguous problem spaces. Expert-level mastery of mobile frameworks (Flutter, Swift, Kotlin, or React Native) and front-end performance for real-time applications. Demonstrated track record of shipping and scaling flagship consumer applications across platforms.
","enriched_at":1776526797479},{"id":"job_b59f3951-bf7","title":"Staff AI Product Designer, Gemini Assistant, GeminiApp","source_url":"https://job-boards.greenhouse.io/deepmind/jobs/7762107","location":"Mountain View, California, US; New York City, New York, US; San Francisco, California, US; Seattle, Washington, US","job_type":"full-time","experience_level":"staff","work_arrangement":"hybrid","category":"Design","description":"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 realise their potential.
\nYour primary responsibility will be to architect intuitive AI experiences, contributing to product strategy and managing stakeholders. You will also be involved in innovating through user-centred design, translating user needs, technical understanding, and business requirements into groundbreaking design solutions.
\nTo be successful in this role, you will need to have a robust portfolio showcasing fluency in visual, motion, and interaction design skills, with specific examples of work specific to AI-powered interfaces and interactions. You will also need to demonstrate expertise in designing user-centric experiences across diverse platforms, with a strong understanding of how to adapt AI interactions to different device contexts.
\nIn addition, you will need to have excellent communication and collaboration skills, with the ability to listen, articulate positions, and challenge partners with new product design thinking. You will also need to be a strong systems thinker, with a passion for creating innovative and user-centred AI design solutions.
\nThe US base salary range for this full-time position is between $178,000 USD - $265,000 + bonus + equity + benefits.
","enriched_at":1776526774867},{"id":"job_8a80575f-e9a","title":"Research Engineer, Information Quality","source_url":"https://job-boards.greenhouse.io/deepmind/jobs/7171371","location":"Mountain View, California, US","job_type":"full-time","experience_level":"senior","work_arrangement":"onsite","category":"Engineering","description":"Research Engineer, Information Quality
\nAt Google DeepMind, our research team is dedicated to tackling the most complex challenges in online information quality. We strive to advance the state of the art by developing innovative solutions to detect manipulated media and misleading narratives, ensuring the integrity of digital discourse.
\nTo succeed in this role, you will need to be passionate about advancing information literacy using machine learning and other computational techniques. You'll join an interdisciplinary team of domain experts, ML researchers, and engineers to research and build systems and tools to assess the trustworthiness of media (images, audio, and videos) on the internet.
\nKey responsibilities:
\nIn order to set you up for success as a Research Engineer at Google DeepMind, we look for the following skills and experience:
\nIn addition, the following would be an advantage:
\nThe US base salary range for this full-time position is between $174,000 USD - $252,000 USD + bonus + equity + benefits.
","enriched_at":1776526702330},{"id":"job_e121da52-304","title":"Research Engineer, Human Understanding","source_url":"https://job-boards.greenhouse.io/deepmind/jobs/7669433","location":"Los Angeles, California, US; Mountain View, California, US","job_type":"full-time","experience_level":"senior","work_arrangement":"onsite","category":"Engineering","description":"We are seeking a highly motivated Research Engineer with a strong background in multi-modal modelling for humans and a focus on speech & audio/visual to join the effort within Google DeepMind's Frontier AI unit.
\nThis role is pivotal in developing foundational multimodal AI capabilities to understand, generate, and protect human likeness. As a key contributor, you will design and implement cutting-edge models and frameworks, pushing the boundaries of AI to enable foundational capabilities for human-centric understanding and generation.
\nThis is a unique opportunity to contribute to impactful research and advance Google DeepMind's mission towards Artificial General Intelligence (AGI).
\nThe US base salary range for this full-time position is between $174,000 USD - $252,000 USD + bonus + equity + benefits.
","enriched_at":1776526693994},{"id":"job_1e0f3b52-1ae","title":"Research Scientist, Gemini Safety","source_url":"https://job-boards.greenhouse.io/deepmind/jobs/7421111","location":"Mountain View, California, US","job_type":"full-time","experience_level":"senior","work_arrangement":"onsite","category":"Engineering","description":"We're seeking a versatile Research Scientist to join our Gemini Safety team, responsible for advancing the safety and fairness behaviour of state-of-the-art AI models. As a key member of our team, you will apply and develop cutting-edge data and algorithmic solutions to ensure Gemini models are safe, maximally helpful, and work for everyone.\n\nKey responsibilities include:\n\n* Post-training/instruction tuning state-of-the-art language models, focusing on text-to-text, image/video/audio-to-text modalities and agentic capabilities\n* Exploring data, reasoning, and algorithmic solutions to ensure Gemini models are safe and work for everyone\n* Improving Gemini's adversarial robustness, with a focus on high-stakes abuse risks\n* Designing and maintaining high-quality evaluation protocols to assess model behaviour gaps and headroom related to safety and fairness\n* Developing and executing experimental plans to address known gaps or construct entirely new capabilities\n\nTo succeed in this role, you should have a PhD in Computer Science or a related field, significant LLM post-training experience, and a track record of publications at top conferences. Experience in reward modelling and reinforcement learning for LLMs instruction tuning, long-range reinforcement learning, safety, fairness, and alignment is an advantage.","enriched_at":1774981670311},{"id":"job_39e3af57-e82","title":"Tech Strategy Director, Compute, Google DeepMind","source_url":"https://job-boards.greenhouse.io/deepmind/jobs/7535866","location":"Mountain View, California, US","job_type":"full-time","experience_level":"senior","work_arrangement":"onsite","category":"Engineering","description":"This is a critical and high impact strategic role that will drive AI strategy, infrastructure investments and AI product portfolio optimization across Google.\nThe role sits within Google DeepMind's Technology Strategy (TechStrat) function and is a leadership role within Techstrat's Compute team.\nSince 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.\n\nAs 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.\nThis 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.\nThey 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.\nThis leader will also drive the synthesis of the situation into SVP+ consumable frameworks and crisp grounded and data backed options.\nThey will then ensure the strategy is executed flawlessly partnering with a multitude of cross functional teams and stakeholders.\n\nKey responsibilities include:\nInvestigating and driving clarity on some of Google's hardest long range strategic questions in AI\nCreating new and partner with existing virtual teams across Google to create comprehensive product and policy plans that stand the test of time\nModeling scenarios and various tradeoffs to create opinionated strategies for maximizing AI value and optimizing AI investments across Google\nCreating SVP+ forum content (presentations, communications, mandates)\nHelping develop a per-mandate monitoring view to keep programs accountable\nCollaborating with operational teams and forums in AI to ensure that company-wide SVP+ mandates are set up for success -- well organized, staffed and delivering on desired goals.\nStaying connected across Google to maintain a living catalog of ongoing experiments & proposed innovations that may become worthy of discussion at NRC\nIdentifying gaps in our processes and information and proposing/implementing solutions.\n\nTo succeed in this role, you will be 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.\nYou 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.\nIf 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.\n\nTo set you up for success as a Product Manager at DeepMind, we look for the following skills and experience:\nA BA/BS degree in Computer Science/EE or equivalent practical experience in a technical and/or business area\n15+ years of product management experience for a technology-driven company, at scale, including a proven track record in driving 0->1 product capabilities and founding or incubating new, high-impact technical initiatives.\nExceptional organizational talent running high velocity, high impact, strategic programs\nStellar verbal and written communication; past experience with SVP/VP+ level audiences\nExtensive experience in product operations and business strategy\nStrong analytics, strategy, and data fluency experience\nExperience in a role that deals with machine learning and/or compute\nInnovative problem solver that can turn ambiguous problem spaces into clear solutions\nAbility to influence without direct authority, you adeptly work on and with technical and cross-functional or highly matrixed teams in a way that leads to aligned decision making\n\nIn addition, the following would be an advantage:\nFamiliarity with the role of compute and data in building LLMs and the capabilities of these models\nStrong product vision and sensibility, ideally with prior and proven experience embedding applied AI capabilities into products and a track record of leveraging AI productivity tools\n5+ years of product strategy work experience in managing highly-complex, technically-challenging projects spanning a wide set of stakeholders\nA quantitative and analytical mentality to understand Google PA and external user needs\nExperience navigating sensitive organizational dynamics\nCollaborating within data-driven or quantitative-focused teams\nA consistent record of creative problem solving and a bias towards action\nOutstanding business judgment\nOutstanding organizational, prioritization, and multitasking skills.\nExcellent communication skills\nA proven track record of building positive relationships with senior stakeholders and influencing strong personalities within a complex business environment\nExperience in corporate planning\nAbility to manage multiple concurrent complex interactions with geographically disparate teams\nPast people management experience; Experience in hiring and leading teams, including distributed teams\n\nAt Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact.\nWe 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.\nIf you have a disability or additional need that requires accommodation, please do not hesitate to let us know.\n\nApplication deadline: 13th Feb 2026\n\nNote: 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.\nFor more information on how we handle your data, please see our Applicant and Candidate Privacy Policy.","enriched_at":1774981652689},{"id":"job_c478fbcd-014","title":"Staff AI Product Designer, Gemini Assistant, GeminiApp","source_url":"https://job-boards.greenhouse.io/deepmind/jobs/7762107","location":"Mountain View, California, US; New York City, New York, US; San Francisco, California, US; Seattle, Washington, US","job_type":"full-time","experience_level":"staff","work_arrangement":"onsite","category":"Design","description":"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.\n\nWe'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.\n\nAt 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.\n\nThe Integrated Assistance team contributes towards this mission by making Gemini a personalized universal assistant that is natively present across devices and apps.\n\nWe are seeking a highly experienced, self-starting, and innovative Staff AI Product Designer to join our Gemini Integrated Assistance Team.\n\nAs 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.\n\nResponsibilities:\n\n* Architect intuitive AI experiences: Lead the design of user interfaces and consumer experiences for Gemini across diverse platforms and modalities, ensuring natural and efficient interaction.\n* Contribute to product strategy and manage stakeholders: Use strong communication skills to collaborate with Product, Engineering and influence relevant stakeholders (e.g. in Gemini App, Android, other Google Apps) to define product strategy and influence key cross-functional decisions that drive positive user outcomes.\n* Innovate through user-centered design: Translate user needs, technical understanding and business requirements into groundbreaking design solutions that amplify people’s capabilities and enrich their lives.\n* Design with systems-thinking approach: Apply a systems-thinking approach to design user interfaces, understanding the impact of individual components and features on the overall AI-powered experience, optimized for AI's probabilistic nature and multimodal capabilities.\n* Craft visually compelling interfaces: Create high-fidelity visual designs, encompassing layouts, typography, color palettes, and iconography, that are aesthetically pleasing and highly usable.\n* Motion and interaction design: Design engaging interactions and fluid interfaces, utilizing tools like Origami Studio, Principle, and Protopie, and create motion designs that enhance user experience and effectively communicate complex information.\n* Bridge design and technology: Leverage technical understanding to use system instructions and diverse prototyping methods, simulating model responses to inform design requirements and approaches.\n* Champion design innovation: Stay current on the latest design trends and technologies, in consumer technology, generative AI and natural language processing, and leverage this knowledge to innovate.\n* Design for ethical and societal impact: Consider the intricate interplay of AI models, user interface, ethical considerations, and societal impacts to develop responsible solutions.\n\nMinimum Qualifications:\n\n* Bachelor's degree in Design, Human-Computer Interaction, or a related field.\n* 7+ years of experience designing user interfaces for complex software applications, with specific experience designing for conversational AI / LLMs.\n* A robust portfolio showcasing fluency in visual, motion, and interaction design skills, with specific examples of work specific to AI-powered interfaces and interactions and for leading consumer applications.\n* Proficiency in designing user-centric experiences across diverse platforms (web, desktop, mobile), with a strong understanding of how to adapt AI interactions to different device contexts.\n* Demonstrated expertise in designing intuitive and engaging interactions for AI-driven products.\n* Demonstrated expertise in guiding cross-functional teams through ideation, validation, and iteration processes, transforming abstract ideas into shippable product.\n* Familiarity with behavioral data and strong capability to create data-driven designs, while being equally capable of moving forward in the absence of data.\n* Proficiency in design tools such as Figma, Sketch, Adobe Creative Suite, and Principle.\n* Excellent communication and collaboration skills with the ability to listen, articulate positions, and challenge partners with new product design thinking.\n* Mastery in presentation and storytelling capabilities with the ability to communicate effectively to leadership and cross company teams.\n* A strong systems thinker with a passion for creating innovative and user-centered AI design solutions. Ability to understand the broader implications of AI technologies and design experiences that are ethical, accessible, and impactful.\n* Demonstrated experience thriving in a startup environment, comfortable with the ambiguity, rapid iteration, and resourcefulness required to deliver impactful designs in a fast-paced, evolving landscape.","enriched_at":1774981020514}],"category_normalised":[{"category":"engineering","count":9},{"category":"design","count":5}],"velocity":{"weeks":[{"week_start":"2026-03-09","count":4},{"week_start":"2026-03-30","count":3},{"week_start":"2026-04-13","count":5},{"week_start":"2026-05-25","count":2}],"trend":"stable","wow_pct":-60},"momentum":{"recent_14d":0,"prior_14d":0,"growth_pct":0,"classification":"stable"},"salary_vs_industry":{"company_median":171500,"industry_median":327500,"percentile":4,"sample_size":2,"by_region":[{"region":"United States","company_median":171500,"industry_median":null,"sample":2}],"transparency_pct":14,"industry_transparency_pct":49,"transparency_warning":true},"market_share":{"company_jobs":14,"industry_total":1077,"share_pct":1.3,"rank":3,"peer_count":4},"ai_exposure":{"occupation_weighted_score":0.272,"skill_weighted_score":0.145,"top_exposed_titles":[{"title":"Tech Strategy Director, Compute, Google DeepMind","count":2,"score":0.156},{"title":"Staff AI Product Designer, Gemini Assistant, GeminiApp","count":2,"score":0},{"title":"Research Scientist, Gemini Safety","count":2,"score":0.461},{"title":"Research Engineer, Materials Science","count":2,"score":0.461}],"top_exposed_skills":[{"skill":"Python","count":5,"score":0.461},{"skill":"Machine Learning","count":4,"score":0.308},{"skill":"Data Analysis","count":3,"score":0.257},{"skill":"Generative AI","count":3,"score":0.154},{"skill":"Visual Design","count":3,"score":0},{"skill":"Motion Design","count":3,"score":0},{"skill":"Interaction Design","count":3,"score":0},{"skill":"Figma","count":3,"score":0},{"skill":"Sketch","count":3,"score":0},{"skill":"Adobe Creative Suite","count":3,"score":0}]},"peer_set":[{"slug":"anthropic","name":"Anthropic","total_jobs":754,"similarity":0.17,"momentum_classification":"decelerating"},{"slug":"xai","name":"xAI","total_jobs":293,"similarity":0.17,"momentum_classification":"decelerating"}],"skills_lq":[{"skill":"Figma","company_count":3,"company_pct":21.4,"industry_pct":0.2,"lq":113.89,"required_pct":67},{"skill":"Generative AI","company_count":3,"company_pct":21.4,"industry_pct":0.9,"lq":22.78,"required_pct":33},{"skill":"Data Analysis","company_count":3,"company_pct":21.4,"industry_pct":7.1,"lq":3.04,"required_pct":100},{"skill":"Machine Learning","company_count":4,"company_pct":28.6,"industry_pct":10.1,"lq":2.84,"required_pct":100},{"skill":"Python","company_count":5,"company_pct":35.7,"industry_pct":27.8,"lq":1.28,"required_pct":100}],"geographic_shift":{"current":[{"region":"United States","count":14,"share_pct":100}],"emerging":[],"shrinking":[]},"seniority_anomalies":{"exec_recent_30d":0,"exec_prior_90d_avg":0,"exec_growth_pct":0,"notable_exec_hires":[]},"posting_dynamics":{"median_days_open":33,"industry_median_days_open":34,"long_open_count":12,"closure_rate_pct":75}}}}