Founded in the UK in 2010 and acquired by google in 2014, Google DeepMind aims to research and build safe artificial intelligence system to solve intelligence and advance science and humanity. An team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. They use their technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. Now wanting to expand his team with new software engineers, ML engineers and AI engineers.

deepmind

About Us 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. The Role 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: Define and own the multi-year vision, strategy, and roadmap for a portfolio of Agent Security initiatives. Lead the product definition and strategy to defend against a wide range of threats, including prompt injection, anti-distillation, and adversarial misuse. Define the product roadmap for long-term, scalable AGI Control, in partnership with Google’s foremost research and safety teams. Own the entire product lifecycle for Agent Security initiatives, from navigating ambiguous early-stage research to driving execution on large-scale strategic bets. Drive strategic alignment and secure buy-in from senior leadership (Director, VP, and SVP) across DeepMind and Google. Serve as a leading subject matter expert and thought leader on Agent Security within Google. Lead and influence complex, cross-functional initiatives, bridging the gap between novel research, applied engineering, and scaled product deployment. About You In order to set you up for success as a Senior Product Manager at Google DeepMind, we look for the following skills and experience: Bachelor's degree or equivalent practical experience. 8+ years of experience in product management. Experience taking complex, technical products from initial concept to successful launch and scaled impact. Deep technical expertise in AI/ML and Cybersecurity. Proven ability to manage a portfolio of complex, multi-year strategic bets, from research to large-scale product commercialization. Experience defining novel metrics and quantitative goals for large-scale, technically complex problems. Exceptional executive communication skills; ability to simplify complex technical and security concepts for senior leadership. Demonstrated experience leading large, complex, cross-functional initiatives in highly ambiguous, zero-to-one domains. In addition, the following would be an advantage: Hands-on experience in AI Security (e.g., adversarial ML, red teaming, jailbreaking), foundational AI research, or deep systems-level security (e.g., building secure infrastructure, automated defenses). Hands-on experience in software development or engineering. A track record of influencing and driving ambitious, multi-year "moonshot" style initiatives from concept to reality. &nbsp; The US base salary range for this full-time position is between $192,000 - $278,000 + 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 &nbsp; 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. &nbsp; &nbsp; &nbsp;

Senior Product Manager, Agent Security

Snapshot We are the Information Verticals team for the Gemini App, bringing search, maps, shopping and other information-related features to both the web and mobile Gemini applications. We are a fast-paced organization bringing features from ideation to launch in a matter of months. We are a non-bureaucratic, innovative, bottom-up organization. We are seeking an experienced and self-motivated Software Engineer with particular expertise in quality and AI applications to ensure the Gemini applications deliver world-class, reliable, and personalized experiences. &nbsp; About Us Within the Information Verticals team, the Shopping team is at the forefront of Google's shift towards agentic experiences. We are redefining how users discover, research, and purchase products by combining the reasoning capabilities of Gemini with the comprehensive data of the Shopping Graph. To constantly innovate, we work closely with various Google DeepMind (GDM) research units. Following a breakout year with two major launches in Q4 (launch announcement) that were well received in the press, we have established a new baseline for highly visual agentic shopping. We have one of the highest favorability &amp; retention metrics on GeminiApp have and were featured prominently in the recent "Personal Intelligence" launch (launch, Sundar tweet). This role offers the unique opportunity to make impact on a high-growth vertical that is already seeing massive traction,).&nbsp; &nbsp; The Role Join Google DeepMind's mission to advance science and benefit humanity by solving intelligence. We are seeking an experienced and self-motivated Software Engineer with a passion for quality to ensure the Gemini applications deliver world-class, reliable, and personalized experiences. In this role, you will be building new features in the Gemini product, focused on shopping and other information-related verticals like search, maps &amp; news. You’ll prototype new LLM applications, design and implement evaluation metrics, collection evaluation data, analyze model responses, and conduct prompt engineering in order to ship high-quality features to our users.&nbsp; This is a rare opportunity to shape a new era of technology, accelerating development with the latest AI models and collaborating with AI to build high-fidelity user experiences. You will see your work in the hands of users frequently and quickly. As a key contributor to one of Google's top efforts for 2025, you will help shape the future of AI. &nbsp; What You'll Do Implement sophisticated LLM-powered systems, including context engineering, agentic workflows with tool use, and robust evaluation frameworks. Dive deep into model behavior, creating high-quality, diverse, and challenging evaluation datasets to identify weaknesses and guide improvements. Make improvements to the serving and evaluation infrastructure to power new features. Develop and scale evaluation solutions (auto-raters, human evals) to continuously monitor and improve the performance of LLM-powered features. Drive collaboration with cross-functional partners (Product, UX, Research) to translate user needs into intuitive and valuable features within the Gemini ecosystem. Collaborate with GenAI research teams to integrate product-driven data and evaluations to the base Gemini models. Analyze user data and model outputs to enhance the quality of personalized experiences, ensuring Gemini is helpful and relevant for every user. Champion a culture of quality, defining metrics, setting standards, and driving best practices for LLM evaluation and responsible AI development. &nbsp; About You We seek out individuals who have the skill and passion to design and build high-quality components, while simultaneously being willing to move fast and pivot when necessary. We are looking for strong and adaptable engineers who are obsessed with quality and have a deep understanding of how to measure and improve AI systems. You are a flexible problem-solver, comfortable inventing novel solutions and quickly pivoting when ideas need to change. In order to set you up for success as a Software Engineer on GeminiApp, we look for the following skills and experience: User-centric vision and passion for shipping best products to our users, with a strong track-record of shipping multiple successful consumer features. Experience working with a small team in a startup-like environment with rapidly changing priorities as product needs evolve A deep understanding of Generative AI and Large Language Models. Direct experience with building evaluation datasets, LLM evaluation techniques, human rating paradigms, or building automated raters. Proven experience in loss analysis, quality hillclimbing, prompt engineering, and optimization. Strong background in data analysis, experimental design, and statistical methods. Proficiency in Python, having experience with C++ is a plus. Excellent communication and collaboration skills, with the ability to translate complex quality issues into actionable plans for diverse, cross-functional teams. In addition, the following would be an advantage: Experience with common ML frameworks (e.g., PyTorch, JAX, TensorFlow). Familiarity with user metrics logging and A/B testing for ML-powered products. Proven knowledge and experience building scalable, efficient C++ backend infrastructure components within a complex distributed system. Experience with standard Google technologies including Boq, Stubby, StreamZ, Mendel and Sawmill. &nbsp; The US base salary range for this full-time position is between $197,000 - $291,000 + 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&nbsp;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. For fairness reasons, Recruiters and Hiring Managers do not offer informational calls. If you are interested in learning about the role, please share a copy of your CV and a cover letter with the Recruiter listed via email (not G-Chat) and they will process your application. Please avoid reaching out to the Hiring Manager directly, as this can cause delays in processing your application.You will receive updates on the status of your application through our standard recruitment channels, and if you are shortlisted for the position, we will contact you to set up an initial interview where you will have the opportunity to ask questions and learn more about the position. &nbsp;

Software Engineer, GeminiApp Info Seek Quality

Snapshot 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. About Us 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. Key responsibilities: Lead the product strategy for Gemini’s coding abilities, by creating a cohesive roadmap for key use cases and product priorities Lead Gemini’s strategy in the development of an agent to support developers in their critical workflows Develop a strong set of evaluations for key use cases and a data strategy that encompasses quality, style, and collection approaches Drive critical model improvements for the key use cases, in partnership with the right surfaces and UX to enable Gemini adoption. Partner with the broader ecosystem to identify new features and capabilities for AI-powered code Look ahead to new &amp; emerging coding use cases, and develop solutions for these efforts About You In order to set you up for success as a Product Manager at DeepMind, &nbsp;we look for the following skills and experience: BSc or MSc in Computer Science or equivalent technical field At least 5 years of PM experience (or equivalent sets of landings) In addition, the following would be an advantage:&nbsp; Previous experience as a developer and/or personal involvement in developer communities Track record of driving launches through complex stakeholder management. Ability to deliver products that drive customer success and market leadership. Previous experience working on ML/AI products. &nbsp; The US base salary range for this full-time position is between $192,000 - $278,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process. Application deadline: April 14, 2026 &nbsp; 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. &nbsp; &nbsp; &nbsp;

Senior Product Manager, Code

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. Snapshot On the Frontier Strategy and Governance Team, we help Google DeepMind and society prepare for a world with advanced AI. To do this, we conduct research, brief senior leadership on AGI governance priorities, and drive strategic initiatives in partnership with GDM’s policy, safety and responsibility teams.&nbsp; We are a collaborative team, with expertise spanning political science, international relations, security, economics, history, technical AI safety, and other domains. We are interested in recruiting a wide range of expertise, including on forecasting, geopolitics, international relations, international security, global governance, political economy, technical governance, risk management, and the history of technology.&nbsp; We have a strong preference for people who can join in London, though we also have hubs in NYC and the Bay Area. About Us 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 Role Researchers join Google DeepMind to work collaboratively within and across a range of research fields. They develop solutions to fundamental questions in machine learning, computational neuroscience, AI, and AI policy and governance. We are looking to hire in mid-career and senior levels, though will also consider early-career candidates. Those coming from academia may join us from their PhD, post-doc, or professor positions. Key responsibilities: Prepare briefings and recommendations for Google DeepMind leadership. Proactively identify research and company initiatives that will have a meaningful impact on executive decision-making. Monitor trends and developments in the AI landscape and implications for AI safety, strategy and governance; cultivate relationships with external domain experts and partners; and share targeted updates with internal audiences. Produce insightful, engaging and actionable memos, research, and risk analysis that are easily digestible by internal decision makers. Propose, contribute to, and lead research projects related to the governance, safety, and security of advanced AI at Google DeepMind. Build and contribute to internal and external collaborations, through involvement in working groups, presentations, and the writing of memos.&nbsp; About You In order to set you up for success as a Researcher at Google DeepMind, we look for the following skills and experience: PhD or MA+ equivalent research, or practical experience in a relevant field. 5+ years of experience in positions related to governance, policy, or strategy research, or technical fields like technical safety, security, and hardware. &nbsp; Generalist with a breadth of abilities. Expertise in a relevant field (e.g. forecasting, geopolitics, international relations and international security, global governance, economics, technical governance, risk management, and the history of technology). Knowledge of the technical AI landscape, policy-making and history of major government decisions relevant to AI, and the global governance of AI. Professional communication, writing, and presentation skills. Ability to quickly get up to speed and synthesise complex material into accessible documents, tailored to different audiences. In addition, the following would be an advantage:&nbsp; Technical expertise (such as ML, AGI safety, security, forecasting). If you don't think you meet all the criteria, we encourage you to still apply. Applications close on Thursday 2nd April at 5pm.&nbsp;&nbsp;

Researcher, Frontier Strategy & Governance

Snapshot At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the&nbsp;art in artificial intelligence. We use our technologies for widespread&nbsp;public benefit and scientific discovery, and collaborate with others on&nbsp;critical challenges, ensuring safety and ethics are the highest priority.&nbsp;We don’t set limits based on what others think is possible or impossible.&nbsp;We drive ourselves and inspire each other to push boundaries and&nbsp;achieve ambitious goals. The Area: Gemini App The Gemini App is at the forefront of the AI revolution, bringing helpful,&nbsp;generative AI experiences to users across the globe. We are seeking a&nbsp;visionary Design Leader to lead the strategy that will define the future of&nbsp;our product. The Role In this critical role, you will be responsible for defining and visioning the&nbsp;user experience, driving design excellence, and fostering a culture of&nbsp;innovation across Gemini. You will work closely with product&nbsp;management, engineering, and research teams to deliver an intuitive,&nbsp;powerful, and aesthetically pleasing experience for the needs of users&nbsp;globally.&nbsp; &nbsp; The Distinguished Designer is the technical soul of the Gemini interface.&nbsp;You are responsible for the bridge between cutting-edge machine&nbsp;learning and pixel-perfect mobile implementation. You will architect the&nbsp;systems that allow Gemini to feel "as fast as thought" while maintaining&nbsp;world-class stability and performance. Key responsibilities: Architecting the AI-UI Bridge: Design the technical frameworks&nbsp;for iOS and Android that handle non-deterministic AI outputs&nbsp;(streaming audio/visuals) with zero jitter and maximum fluidity. Performance Engineering: Own the "Gold Standard" for mobile UI latency. You will 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. About You In order to set you up for success, &nbsp;we look for the following skills and experience: Minimum: 15+ years of experience in User Experience / Design, with experience establishing UX best practices for emerging technologies or ambiguous problem spaces. Technical Mastery: Expert-level mastery of mobile frameworks (Flutter, Swift, Kotlin, or React Native) and front-end performance for real-time applications. Leadership: Demonstrated track record of shipping and scaling flagship consumer applications across platforms. Preferred background includes one or any combination of the following: Master's degree or Ph.D. in a design-related field. Experience with AI/ML and agentic technologies; Depth and breadth of knowledge that enables ideation and development of creative solutions. 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 The US base salary range for this full-time position is between $323,000 USD - $449,000 USD + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process. 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. &nbsp; &nbsp; &nbsp;

Distinguished Designer, Gemini App Systems

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. Snapshot 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." About us 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 role As a Technical Program Manager on the Robotics Operations team, you will apply program management methodologies to multiple research initiatives to accelerate Google DeepMind's Embodied AI goals in a safe and responsible way.&nbsp; Key responsibilities Partner closely with the data collection teams to establish and govern our internal data collection efforts. Partner closely with research teams to ensure seamless delivery of new evaluations and data collections. Ability to work with partners to advance and deliver cross-functional goals. Apply expertise in program management methodologies, tools, and relevant industry knowledge in Robotics to drive program success. Monitor and report on operational efficiency and resource utilization metrics. Oversee design and implementation of new environments for data collection or robot platform modifications with the Engineering team. Evaluate and improve processes, tools, templates and documentation for repeatability and sustainability. Implement processes and methodologies to reduce operational costs. Facilitate conversations, meetings and opportunities for collaboration to drive the best outcomes; create connections and relationships. About you The Technical Program Manager must thrive in a fast-paced environment and effectively manage cross-functional teams to deliver exceptional value to and accelerate Google DeepMind’s research through strategic cross-functional partnerships. In order to set you up for success as a Technical Program Manager at Google DeepMind, we look for the following skills and experience: Experience partnering with Research/Engineering leads on high impact, goal oriented, projects. Bachelor’s degree in an engineering discipline along with equivalent practical experience 5+ years . Demonstrated ability to improve processes, workflows, and governance models to enhance efficiency within development teams. Excellent technical understanding and communication ability, with the ability to distill sophisticated technical ideas to their essence. Experience in solving complex challenges, implementing scalable and sustainable solutions. Knowledge of, or curious to learn about AI/machine learning research. Familiar with hardware and software testing and associated safety protocol. In addition, the following would be an advantage:&nbsp; Robotics domain knowledge and experience. Master’s degree in a relevant field (Robotics/AI).&nbsp;&nbsp; Experience managing operational teams. Experience in a technical lab or production environment. &nbsp;

Technical Program Manager, Robotics Operations - London

Snapshot At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the&nbsp;art in artificial intelligence. We use our technologies for widespread&nbsp;public benefit and scientific discovery, and collaborate with others on&nbsp;critical challenges, ensuring safety and ethics are the highest priority.&nbsp;We don’t set limits based on what others think is possible or impossible.&nbsp;We drive ourselves and inspire each other to push boundaries and&nbsp;achieve ambitious goals. The Area: Gemini App The Gemini App is at the forefront of the AI revolution, bringing helpful,&nbsp;generative AI experiences to users across the globe. We are seeking a&nbsp;visionary Design Leader to lead the strategy that will define the future of&nbsp;our product. The Role As a leader, you will use your UX expertise to innovate and push the&nbsp;bounds of what the Gemini App can be for our customers. Your passion&nbsp;for design and obsession with craft and quality are infectious, and your&nbsp;creative perspective is informed by a deep awareness of cultural,&nbsp;aesthetic, and artistic trends.&nbsp;The Growth &amp; Discovery Lead is responsible for the "First Mile" of the&nbsp;user journey. Your mission is to solve the "blank page" problem—ensuring&nbsp;that every user who downloads the Gemini app immediately discovers&nbsp;its value and integrates it into their daily life through intuitive onboarding&nbsp;and feature education. Key responsibilities: Onboarding Excellence: Own the end-to-end mobile&nbsp;onboarding flow. You will ruthlessly eliminate friction, ensuring&nbsp;users reach their first "Aha!" moment within seconds ofinstallation. Discovery Engine Design: Create contextual UI "hooks" and&nbsp;educational prompts that teach users how to harness Gemini’s&nbsp;unique mobile features, such as "Live" voice and camera-based&nbsp;reasoning. Data-Informed Iteration: Partner with Growth Marketing to run&nbsp;high-velocity A/B tests on app entry points, home-screen&nbsp;widgets, and subscription conversions. Viral Growth Loops: Design product-led growth mechanisms&nbsp;that make Gemini content easily shareable, driving organic&nbsp;adoption and network effects. About You In order to set you up for success, &nbsp;we look for the following skills and experience: Minimum: 15+ years of experience in User Experience / Design,&nbsp;with experience establishing UX best practices for emerging&nbsp;technologies or ambiguous problem spaces. 10+ years in Product Design with a specialized focus on Growth,&nbsp;PLG, or User Acquisition. Mastery of behavioral psychology and using data to inform&nbsp;high-craft design decisions. Demonstrated ability to influence executive stakeholders and&nbsp;drive product strategy. Preferred background includes one or any combination of the following: Master's degree or Ph.D. in a design-related field. Experience with AI/ML and agentic technologies; Depth and&nbsp;breadth of knowledge that enables ideation and development of&nbsp;creative solutions. 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 The US base salary range for this full-time position is between $275,000 USD - $383,000 USD + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process. 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. &nbsp;

Director, UX, GeminiApp, Growth and Discovery

Snapshot We are seeking a highly motivated Research Engineer (L5) with a strong background in multi-modal modelling for humans and a focus on speech &amp; audio/visual to join the effort within Google DeepMind's Frontier AI unit. This 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. This is a unique opportunity to contribute to impactful research and advance Google DeepMind's mission towards Artificial General Intelligence (AGI). About us 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. The effort is a part of Google DeepMind's Frontier AI unit. The team aims to build holistic representation encompassing a full spectrum of human understanding. We develop systems to provide perception skills critical for person-centric applications, which is crucial for enabling AI to interact naturally &amp; seamlessly, depict humans accurately &amp;&nbsp; responsibly in generative AI, and build trustworthy &amp; resilient systems that can detect and prevent misuse like deepfakes and impersonation. The role You will drive outcomes for critical technical components aimed at advancing our capabilities in multimodal human understanding. You will play a critical role in developing and deploying models that can provide accurate human understanding across multiple modalities (e.g., visual appearance, voice, dynamics, etc), while also building robust defenses against sophisticated AI-driven manipulation and impersonation. This role involves tackling complex, ambiguous problems with no obvious "best" solution, requiring independent judgment and a proactive approach to exploring multiple technical avenues. You will be instrumental in shaping the technical direction for core components of the effort. Your contribution will lead to key breakthrough and impactful landings within GDM and across Google products, ensuring our technologies are both groundbreaking and responsibly deployed. Key responsibilities Advance multimodal human representations &amp; understanding : Research and implement novel models and other multimodal techniques for a more holistic understanding of humans across visual, audio, and textual data. Conduct applied research: Conduct experimental research cycles from hypothesis to deployment. Drive technical projects: Take ownership of substantial technical projects within the effort, from ideation and design to implementation and evaluation, often involving cross-functional collaboration. Contribute to Infrastructure: Inform and contribute to the development of scalable and efficient research infrastructure for multimodal human understanding models and datasets. Design and execute strategies for tuning and adapting VLMs and other foundation models for specific tasks About you In order to set you up for success as a Research Engineer at Google DeepMind, we look for the following skills and experience: Requirements: PhD degree in Computer Science, Machine Learning, or a related technical field with 3+ years of relevant experience. Experience in developing machine learning models, such as audio &amp; speech-visual models. Experience in working with and tuning large-scale vision language models. Strong programming skills in Python and experience with at least one major deep learning framework (e.g., JAX) Experience conducting independent research and development, including experimental design, implementation, and analysis. In addition, the following would be an advantage: Experience with Generative AI techniques and architectures. Familiarity with Reinforcement Learning or alignment methods. A track record of publications in top-tier AI/ML conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV). Experience with multimodal learning, integrating information from different data types (e.g., vision, audio, text). Understanding of privacy-preserving machine learning or responsible AI practices. The US base salary range for this full-time position is between 174,000 USD - 252,000 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. &nbsp; &nbsp;

Research Engineer, Human Understanding

Snapshot The People &amp; Culture (P&amp;C) Experience &amp; Delivery Partner team provides responsive day to day P&amp;C support and generalist advice, operating as trusted advisors for Google DeepMind’s (GDM) Leaders and Managers. Working in close partnership with GDM P&amp;C Partners, they build leadership and manager capabilities, deliver operational excellence, and gather and analyse employee experience insights to support the P&amp;C needs of the organisation and drive high performance across GDM. Our team collaborates closely with other stakeholders across the GDM, Google, and Alphabet People &amp; Culture teams, including GDM P&amp;C Partners, to deliver a world-class employee experience.&nbsp; We support the learning and development of each member of our team and provide both training and practical experience to support the cultivation of generalist expertise. This is an exciting and varied generalist role About Us 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 Role This role is embedded in our People and Culture (P&amp;C) team, and reports to a&nbsp; People Experience &amp; Delivery Lead based in London, UK. The role works in close partnership with the P&amp;C Partnering team and Centres of Excellence..&nbsp; &nbsp; Dynamic Coaching &amp; Advisory Provide dynamic and responsive coaching and advice for Leaders and Managers on policies, processes, and best practices related to key P&amp;C topics including performance management, development, employee lifecycle processes, policy exceptions. Provide advice and guidance to Leaders and Managers dealing with specific challenges within their teams e.g. a retention or wellbeing issue, or interpersonal team conflict. Contribute to the development and delivery of scalable solutions to build Manager capability. &nbsp; Operational Excellence Execute and deliver P&amp;C initiatives, projects and cyclical processes, advising and collaborating with cross-functional teams. Partner with P&amp;C Partners to deliver Unit specific organisational efforts including reorgs, large scale performance management efforts and strategic initiatives that align with a Unit’s P&amp;C Strategy. Independently manage employee lifecycle processes e.g. Exits and Flexible working Identify the need for, and take responsibility for driving,&nbsp; process improvement initiatives, such as streamlining query management, improving processes and conducting root-cause-analysis on and resolving recurring issues. Explore and leverage AI tools to enhance collaboration, streamline processes, and amplify your impact on GDM's mission and operational excellence. &nbsp; Employee Experience Insights Conduct analysis on relevant data, share themes and insights from analysis, and use the data to make recommendations and inform decisions. About You In order to set you up for success as a People Experience &amp; Delivery Partner at Google DeepMind,&nbsp; we look for the following skills and experience: Subject matter expertise: You have a solid understanding of HR principles, policies, and best practices in areas such as performance management, compensation planning and change management.&nbsp; Communication: You have strong written and verbal communication skills and are able to express thoughts and ideas clearly as you facilitate understanding. You comfortably demonstrate active listening and emotional intelligence. Interpersonal skills: You build strong relationships with employees and managers at all levels and are experienced in conflict resolution. Critical thinking &amp; problem-solving: You are proficient in data analysis and thematic reporting. You are able to analyse information, identify issues, and provide effective solutions. &nbsp; In addition, the following would be an advantage:&nbsp; Experience in working with global teams and navigating cultural differences. Experience in designing and delivering training programs, and process design. Experience in using data to drive HR decisions. Knowledge of HR trends and best practices. A degree or professional certification in Human Resources Management or a related field. 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.

People Experience & Delivery Partner  - 12 Months - FTC - London, UK

About us 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. Snapshot The People &amp; Culture (P&amp;C) Experience &amp; Delivery Partner team provides responsive day to day P&amp;C support and generalist advice, operating as trusted advisors for Google DeepMind’s (GDM) Leaders and Managers. Working in close partnership with GDM P&amp;C Partners, they build leadership and manager capabilities, deliver operational excellence, and gather and analyse employee experience insights to support the P&amp;C needs of the organisation and drive high performance across GDM. Our team collaborates closely with other stakeholders across the GDM, Google, and Alphabet People &amp; Culture teams, including GDM P&amp;C Partners, to deliver a world-class employee experience.&nbsp; We support the learning and development of each member of our team and provide both training and practical experience to support the cultivation of generalist expertise. This is an exciting and varied generalist role. &nbsp; The Role This role is embedded in our People Operations team, which sits within the wider People and Culture (P&amp;C) team, and reports to a P&amp;C Experience &amp; Delivery Lead based in either London, UK or Mountain View, US. The role is location-aligned first and Unit-aligned second, working in close partnership with P&amp;C Partners within specific locations and Units.&nbsp; Key responsibilities: Dynamic Coaching &amp; Advisor Provide dynamic and responsive coaching and advice for Leaders and Managers on policies, processes, and best practices related to key P&amp;C topics including performance management, development, employee lifecycle processes, policy exceptions. Provide advice and guidance to Leaders and Managers dealing with specific challenges within their teams e.g. a retention or wellbeing issue, or interpersonal team conflict. Contribute to the development and delivery of scalable solutions to build Manager capability. The trusted advisor for people policies, practices, and legislation in a specific location, supporting a wider range of complex challenges while mitigating risks. Provide coaching and mentorship to more junior team members on complex issues e.g. providing guidance on difficult conversations, performance improvement plans. In partnership with P&amp;C Partners and relevant P&amp;C Centres of Excellence (CoEs), support the scoping, design, and delivery of training programs to build P&amp;C, Leader and Manager capabilities on relevant topics, specialising in areas where location-specific nuances are critical (e.g. employment law, cultural sensitivity). Identify and make recommendations about how to address systemic issues affecting wellbeing and performance within specific locations e.g. conducting org assessments, analysing trends, and recommending initiatives. &nbsp; Operational Excellence Execute and deliver P&amp;C initiatives, projects and cyclical processes, advising and collaborating with cross-functional teams. Partner with P&amp;C Partners to deliver Unit specific organisational efforts including reorgs, large scale performance management efforts and strategic initiatives that align with a Unit’s P&amp;C Strategy. Independently manage employee lifecycle process e.g. Exits and Flexible working Identify the need for, and take responsibility for driving,&nbsp; process improvement initiatives, such as streamlining query management, improving processes and conducting root-cause-analysis on and resolving recurring issues. The go-to-person within the PXD team for delivery of a cyclical process, overseeing delivery to a high standard, and ensuring that process changes are well understood. Oversee delivery of process improvements, ensuring alignment with regional employment laws and cultural norms. This could involve collaborating with other teams cross-functionally to streamline workflows and improve the overall employee experience. Advise and guide others through ways of working, tools, or process improvements. &nbsp; Employee Experience Insights Conduct analysis on relevant data, share themes and insights from analysis, and use the data to make recommendations and inform decisions. Conduct in-depth analysis of employee data, including engagement surveys, exit interviews, and performance reviews, to identify location-specific trends and develop targeted initiatives in partnership with CoEs and P&amp;C Partners. Serve as a subject matter expert on employee experience within the relevant region, providing insights and recommendations to P&amp;C&nbsp; colleagues. About You In order to set you up for success as a People Experience &amp; Delivery Partner at Google DeepMind,&nbsp; we look for the following skills and experience: Subject matter expertise: You proactively maintain up-to-date knowledge of the latest employment law, P&amp;C policies, trends, and best practices. You share your insights with others in your team and across P&amp;C. Subject matter expertise: You are quick to develop a solid understanding of different business contexts and challenges, enabling smooth transitions into new areas. Communication &amp; interpersonal skills: You influence stakeholders to address complex problems, and effectively communicate complex information to diverse audiences. Critical thinking &amp; problem-solving: You apply analytical and problem-solving skills to complex organizational challenges. You conduct thorough research, gather and interpret data, identify root causes, and develop innovative and effective solutions. &nbsp; In addition, the following would be an advantage:&nbsp; Experience in working with global teams and navigating cultural differences. Experience in designing and delivering training programs, and process design. Experience in using data to drive HR decisions. Knowledge of HR trends and best practices. A degree or professional certification in Human Resources Management or a related field

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