About Us

Google DeepMind is a team of scientists, engineers, and machine learning experts working together to advance the state of the art in artificial intelligence.

The Role

As a People & Culture (P&C) Partner to our Central Operations, Responsibility and Engagement (CORE) teams, you'll be a pivotal force in shaping and accelerating the delivery and performance of your Organisation's highest priorities. Working alongside the wider P&C team, you will collaborate directly with CORE senior leaders to cultivate healthy, high-performing teams.

You'll deeply understand the business, provide strategic direction and coaching and lead change management initiatives across a dynamic, global organization. You will proactively design and implement creative people and culture solutions that not only drive exceptional team performance but also directly align with our ambitious organizational goals, delivering measurable, impactful results.

Key Responsibilities

• Driving business strategy and outcomes - deeply understand the organization’s product, business and goals, and drive people strategies and tactics to support it

• Delivering high impact solutions to challenges including organization design and leadership capability, ensuring alignment with strategic goals

• Partnering with and coaching senior leaders to develop their skills and improve team and organizational performance

• Acting with confidence and strong judgement in an inspiring and fast paced environment, instilling trust in everyone you interact with, and delivering thoughtful, bespoke and creative solutions

• Being proactive and adaptable, anticipating and addressing challenges before they arise

• Utilizing a data driven approach to partnering

About You

In order to set you up for success as a People & Culture Partner at Google DeepMind, we look for the following skills and experience:

• You have substantial experience operating as an HR professional, ideally spanning both agile, scaling businesses and larger, complex, matrixed companies.

• You thrive in a dynamic environment and possess the ability to lead and manage multiple complex projects simultaneously, while effectively prioritizing and delegating tasks. You seamlessly transition between strategic planning and hands-on execution, demonstrating a strong understanding of both the operational and strategic aspects of HR.

• You possess an outstanding understanding of human behavior including a strong understanding of self.

• Ability and curiosity to use AI tools practically and effectively in your work, with a recognition and awareness of AI’s responsible use, risks, and limitations.

• Ability to leverage and promote AI for team and organisational productivity

• You are a seasoned thought partner who has cultivated deep, trusting 1:1 relationships with senior leaders, enabling you to effectively influence decisions.

• You are extremely organized, you are used to working at a very quick pace and balancing many different tasks. You are proactive and see what needs to be done.

• You can effectively navigate ambiguity and enjoy changeable environments where you can implement creative and innovative ideas. You are a strategic thinker with a passion for driving organizational success and fostering a culture of excellence.

• You are looking for a career defining role in a mission-driven and pioneering organization.

In addition, the following would be an advantage:

• Experience within a fast-paced, technology-driven environment

• Experience working within AI or a product organization, and/or working within Alphabet

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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.

The Role

In this role, you'll work with a team of elite researchers and engineers to design and implement post-training strategies that enhance Gemini’s capabilities in code security analysis. You will bring contributions to our ML innovation, post-training refinement (SFT/RLHF), advanced evaluation, and data generation to ensure our models can reliably perform safe and powerful code security analysis.

Key responsibilities:

• Design and Implement advanced post-training algorithms (SFT, RLHF, RLAIF) to optimize Gemini for code security tasks and secure coding practices.

• Diagnose and interpret training outcomes (regressions in coding ability, gains in security reasoning), and propose solutions to improve model capabilities.

• Actively monitor and evolve the system's performance through metric design.

• Develop reliable automated evaluation pipelines for code security that are strongly correlated with human security expert judgment.

• Construct complex benchmarks to probe the limits of the model’s ability to reason about control flow, memory safety, and software weakness.

About You

We are seeking individuals who excel in fast-pacing environments and are eager to contribute to the advancement of AI. We highly value the ability to invent novel solutions to complex problems, embracing a can-do and fail-fast mindset. We are looking for someone who genuinely believes in the future of AI and is committed to devoting their energy in this field.

In order to set you up for success as a Research Engineer at Google DeepMind, we look for the following skills and experience:

• BSc, MSc or PhD/DPhil degree in computer science, stats, machine learning or similar experience working in industry

• Deep understanding of statistics is strongly preferred

• Experiences in fine-tuning and adaptation of LLMs (e.g. advanced prompting, supervised fine-tuning, RLHF)

• Strong knowledge of systems design and data structures

• Proven experience with TensorFlow, JAX, PyTorch, or similar leading deep learning frameworks

• Recent experience conducting applied research to improve the quality and training/serving efficiency of large transformer-based models

• A passion for Artificial Intelligence.

• Excellent communication skills and proven interpersonal skills, with a track record of effective collaboration with cross-functional teams

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Your key responsibilities will include:

• Proactively managing high-priority, senior, and executive interview scheduling
• Fostering exceptional candidate experiences through direct candidate communication and driving projects and process improvements focused on candidate experience
• Providing support, training, and management of our vendor scheduling coordination team
• Supporting our Onboarding program by leading in-person events for new hires in our Mountain and London offices
• Championing our end-to-end TA workflows and processes, providing guidance and support to Recruiters where needed

To succeed in this role, you will need to possess proven administrative skills, particularly in managing complex scheduling and handling large datasets. You should also be energized by a dynamic workplace, juggling multiple tasks with ease while maintaining high-quality outcomes.

As a proactive problem solver who communicates effectively, you will welcome opportunities to implement innovative solutions. You will enjoy being part of a team and be able to build strong relationships with others, putting people at ease and creating understanding, including candidates.

You will demonstrate a keen eye for detail, ensuring accuracy and efficiency in all your work. A growth mindset and a willingness to develop new skills will also be essential in this role.

If you are a motivated and organized individual who is passionate about delivering exceptional candidate experiences, we encourage you to apply for this exciting opportunity.

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Key Responsibilities:

• Develop and execute proactive communications strategies that advance Google DeepMind’s corporate reputation and policy goals.
• Translate complex technical concepts into accessible language for policymakers, civic society, academics and industry experts.
• Lead communication campaigns that help ready governments and key opinion formers around the world for AI and AGI advancements, as well as highlight how our technologies are being used for public benefit in areas including science, education, safety and security.

Media Relations & Stakeholder Engagement:

• Build and maintain deep relationships with top-tier policy and tech journalists primarily in the UK and US.
• Collaborate closely with Google Communications teams around the world, sharing plans and consulting with central / local comms teams to develop media engagement plans that serve Google and GDM’s objectives. Ensure a unified voice on global AI policy matters.
• Act as a trusted advisor to senior executives and policy specialists, prepare them for high-stakes interviews across broadcast and digital, speaking opportunities including high profile industry events, as well as government testimonies.
• Manage reactive communications and crisis response for sensitive policy issues, working quickly to correct misinformation and articulate the company’s principles.

Cross-Functional Collaboration:

• Partner closely with the Public Policy, Public Engagement, Education, Legal, Safety & Responsibility and Executive Communications teams to align external messaging with internal priorities, progress and corporate strategy.
• Collaborate with Google GCPA teams.
• Draft high-quality written materials, including op-eds, blog posts, press releases, briefing documents and social media material.

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Our internal events play a key role in helping to shape and amplify Google DeepMind's culture, enabling collaboration and celebrating key moments for the organisation at an important stage of our journey.

As an Events Manager, you will be embedded in the GenAI Unit and will focus on events and experiences for this groundbreaking team whose mission is to build state of the art models and accelerate intelligent experiences across Google's platforms and products.

You will partner with teams across Google DeepMind and Google to deliver a variety of events across the globe including Town Halls, Summits, hackathons, offsites and celebrations to drive collaboration, knowledge sharing and connection at scale.

Key responsibilities:

• Own and strategically develop the full suite of GenAI Unit events programs, from large scale team events to intimate team gatherings.

• Respond nimbly to briefs from stakeholders to create event experiences in support of specific objectives, often with short lead times.

• Adapt and innovate, bringing fresh and innovative approaches in an ever-changing environment.

• Manage end to end event delivery and execution of large scale 2500+person events as well as small activations (for example: team summits, leadership meetings, launch celebrations).

• Domestic and international travel for global events programs.

• Create detailed project plans and timelines, tracking workstreams and deliverables, and flagging and mitigating risks.

• Create detailed briefs (documents and presentations) for executive stakeholders.

• Build budgets, tracking spend and processing contracts and purchase orders.

• Consult and partner with teams within the GenAI unit and across Google DeepMind (Events & Experiences, Enterprise Engineering, Workplace, Comms, Marketing etc) coordinating cross functional working groups to deliver seamless experiences that meet the agreed objectives.

• Brief and collaborate with external agencies and internal Google vendor partners on venue, technical production and logistics requirements.

• Track and analyze agreed event metrics to assess success and to inform future event programs.

• Ensure all events are compliant with Google's health and safety, regulatory, and other governance policies, providing a secure and welcoming environment for all.

To set you up for success as an Events Manager at Google DeepMind, we look for the following skills and experience:

• Exceptional attention to detail.

• Exceptional end to end project management skills and proven experience managing high complexity events through the full lifecycle, including planning, budgeting, execution, and retrospectives.

• Ability to throttle. Experience and passion for leading both large scale 2000+ person events as well as smaller scale activations with varying scopes and audiences.

• Comfortable navigating change and ambiguity in a very fast paced and demanding environment.

• Natural problem solving skills with a wildly creative, innovative, and curious approach to the work.

Open to new ideas and learning opportunities, even when deadlines are nearing.

• Ability to simultaneously manage multiple events at different stages and meet all deadlines.

• Excellent relationship building skills. Values colleagues as partners and has a long term lens on cross-org relationships.

• Interest or experience in science and innovative technology, including in the field of artificial intelligence research or deployment of machine learning systems.

• Must work from the Mountain View office 3 days a week.

• Flexibility for both national and international travel, at times on short notice.

• Minimum 8 years of experience in events leadership at the scales and scopes mentioned.

• Ability and curiosity to use AI tools practically and effectively in your work, with a recognition and awareness of AI’s responsible use, risks, and limitations.

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This role focuses on rapidly developing new features, and working across partner teams to deliver solutions, and maximize impact for Google and top customers.

You will be instrumental in translating cutting-edge AI research into real-world products, and demonstrating the capabilities of latest-generation models.

We are looking for engineers with a strong track record of building and shipping AI-powered software, ideally with experience in early-stage environments where they have contributed to scaling products from initial concept to production.

The ideal candidate will be motivated by the opportunity to drive product & business impact.

Key responsibilities:

• Harness frontier models to drive real-world high-impact outcomes

• Build evaluations, training data, and infrastructure to support AI deployments and rapid iterations

• Collaborate with researchers and product managers to translate research advancements into tangible product features.

• Contribute to the development of best practices for building and deploying generative AI applications.

• Contribute signal to influence the development of frontier models

• Lead the architecture and development of new products & features from 0 to 1.

About you:

In order to set you up for success as a Staff Research Engineer, Applied AI at Google DeepMind, we look for the following skills and experience:

Required Skills:

• Bachelor's degree or equivalent practical experience.

• 8 years of experience in software development, and with data structures/algorithms.

• 5 years of hands-on experience in AI research (e.g. RL, finetuning, evals), AI applications, or model deployment

• Proven experience in rapidly developing and shipping software products.

• Deep understanding of software development best practices, including testing & deployment.

• Experience with cloud computing platforms and infrastructure (e.g., Google Cloud Platform, AWS, Azure).

• Substantial experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, Hugging Face, etc.

• Ability to work in a fast-paced environment and adapt to changing priorities.

Preferred Skills:

• Experience with generative AI research or applications.

• Contributions to open-source projects.

• Experience working in, or founding early stage startups.

• Experience delivering software solutions in a fast-paced, customer-facing environment.

If you are a passionate machine learning engineer with a drive to build innovative products and a desire to work at the forefront of AI, we encourage you to apply!

The US base salary range for this full-time position is between $197,000 - $291,000 + bonus + equity + benefits.

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Senior Psychologist

Job Description

We are seeking a Senior Psychologist to join the Responsible Development & Innovation team (ReDI) at Google DeepMind. The candidate should have relevant prior industry experience, a strong general understanding of core psychological principles and the ability to leverage internal and external expertise and research experience in AI-related areas (e.g., cognitive, behavioural).

Responsibilities

As a Senior Psychologist within the Ethics Foresight team, you will be pivotal in ensuring our advanced AI models interact with people, in healthy and developmentally appropriate ways, consistent with Google DeepMind's values. You will use your intellectual agility and deep expertise in psychology to proactively identify and address potential ethical and well-being implications of our AI technologies. You will be engaging with senior stakeholders to champion our efforts. This role demands someone capable of quickly grasping and contributing to diverse topics while possessing a strong foundational understanding of psychological principles, especially as they relate to human-computer interaction.

Key Responsibilities

• General AI Psychology Guidelines: Develop practical guidelines and frameworks informed by general psychological principles (e.g., cognitive biases, well-being, mental health, developmental) and empirical data to ensure that AI models interact in ways that promote positive outcomes and mitigate potential psychological harms.
• Support Implementation: Convert these frameworks into artefacts that include training datasets and evaluation protocol.

Collaborate with model development teams to advise on and facilitate the creation and implementation of evaluation frameworks, defining key metrics, tracking protocols, and criteria for significant results.

• Emerging Trends: Stay informed about the latest research and emerging trends in psychology, and the evolving landscape of AI and its potential impact on users.
• Risk Identification and Analysis: Proactively identify and research potential psychological risks and ethical considerations arising from interactions between advanced AI and users, drawing upon your expertise psychology, and related fields.
• Interdisciplinary Collaboration: Work closely with AI researchers, engineers, product managers, across Google DeepMind to integrate psychological insights into the AI development lifecycle.
• Literature Review and Expert Consultation: Conduct thorough reviews of relevant academic literature in psychology, education and technology, human-computer interaction, and AI ethics.

Engage with internal and external experts to gather diverse perspectives and inform guideline development.

Requirements

In order to set you up for success as a Senior Psychologist for Model Policy Research at Google DeepMind, we look for the following skills and experience:

• A PhD in Psychology (Clinical, Developmental, Social, Cognitive), Education and Technology, or related fields.
• Significant research experience and publications on Human-AI interaction in one or more of the following areas: affective science, cognitive science, child development, adolescent psychology, attachment theory, social-emotional learning, or other relevant areas of applied psychology.
• Extensive prior experience working in a leading industry position.
• A strong understanding of ethical principles and considerations relevant to psychological research and the application of psychological principles in technology.
• Demonstrated ability to learn quickly and contribute effectively to new and varied subjects outside of core expertise.
• Excellent research, analytical, and problem-solving skills, with the ability to critically evaluate complex information.
• Strong written and verbal communication skills, with the ability to explain complex psychological concepts clearly and concisely to both technical and non-technical audiences.
• Ability to collaborate effectively within interdisciplinary teams and contribute to a fast-paced environment.
• A proactive and independent approach to identifying and addressing potential challenges and exploring novel research questions.
• Experience with ethical considerations in technology development and familiarity with AI concepts and technologies.
• Experience in applied research settings or translating academic knowledge into practical guidelines or applications.
• Experience in engaging with cross-functional teams.
• Technical proficiency and an in-depth understanding of the end-to-end AI development process and model lifecycles.

Salary

The US base salary range for this full-time position is between $174,000 - $258,000 + bonus + equity + benefits.

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The Technical Program Management team shapes and accelerates the delivery of Google DeepMind's highest priorities. As a Senior Technical Program Manager focused on Gemini's personalization efforts, you will define the strategic vision and orchestrate the execution of our most ambitious personal intelligence capabilities.

Key Responsibilities:

• Architect, scope, and lead complex technical programs for model development at an organizational level, defining best practices for delivering frontier research to production.

• Direct and align vast cross-functional organizations working on personal intelligence to advance the state-of-the-art research in this domain. Act as a trusted advisor to senior executive leadership.

• Proactively identify and resolve systemic risks, dependencies, and changing circumstances across multiple product surfaces, implementing scalable, long-term solutions.

• Apply deep technical intuition to identify and execute pragmatic solutions, directly unblocking novel modeling techniques and resolving high-level technical architecture disputes.

• Define program management methodologies and governance models for the broader organization, driving operational excellence across multiple teams and product areas.

About You:

To set you up for success as a Technical Program Manager at Google DeepMind, we look for the following skills and experience:

• 12+ years of experience leading organizational-level technical programs, with a strong track record of successful program delivery at massive scale.

• Expert-level technical background, with deep AI knowledge and extensive experience in the development of foundational models and their integration into global products.

• Exceptional executive presence and stakeholder management skills, paired with meticulous organization and attention to detail. You excel at building trust, navigating complex organizational dynamics, and synthesizing highly complex technical strategies to act as a trusted advisor to executive leadership.

• Exceptional leadership capabilities, with a proven ability to take full ownership of sweeping organizational initiatives, drive cross-PA alignment, and overhaul governance models across vast engineering and research teams.

• Proven ability to navigate highly ambiguous, ever-evolving environments, demonstrating leadership and resourcefulness in resolving systemic challenges.

• Passionate about AGI and deeply curious about emerging technologies. You are a hands-on practitioner who actively utilizes the latest AI tools, agents, and coding assistants to accelerate workflows and drive operational excellence.

US base salary range for this full-time position is between $240,000 USD - $334,000 USD + bonus + equity + benefits.

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Key responsibilities include:

• Architecting the Gemini app serving and orchestration layers, writing design docs, and defining interfaces to ensure the codebase is scalable, modular, and capable of supporting rapid innovation.
• Designing and implementing robust CI/CD pipelines and experimentation platforms, building tooling that enables the wider engineering team to utilize A/B testing and feature flags to safely and quickly iterate.
• Driving application performance initiatives, debugging complex production issues, and advocating for code quality standards to ensure the infrastructure scales to our product needs.
• Acting as the strategic technical counterpart to product and design leadership, assessing feasibility of ambitious concepts, and proposing technical solutions that turn AI capabilities into reality.
• Mentoring staff and senior engineers, leading code reviews, and fostering a culture of technical accuracy, psychological safety, and user-centricity.

In order to set you up for success, we look for the following skills and experience:

• Bachelor's degree in Computer Science or Engineering, or equivalent practical experience.
• 15 years of experience in software engineering, building and working with systems in the technology organization.

In addition, the following would be an advantage:

• Experience building large-scale serving infrastructure.
• Experience implementing observability, telemetry, and real-time monitoring strategies.
• Ability to design and refactor complex server-side architectures that have scaled, ideally at the >1 billion user scale.
• Ability to analyze data to identify bottlenecks and drive technical decisions regarding performance optimizations.
• Ability to unblock teams by solving the hardest technical problems, balancing technical debt with feature work, and driving predictable delivery through architectural clarity.
• Ability to drive technical consensus across multiple teams and stakeholders, translating technical constraints into clear options for leadership.

The US base salary range for this full-time position is between $307,000 - $427,000 + bonus + equity + benefits.

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Your responsibilities will include defining and implementing the look and feel of Gemini App through motion design, providing patterns, best practices, and guidance on animation and transitions for different devices and platforms, and creating high-quality design proposals and driving projects from concept to iterations and implementation.

To be successful in this role, you will need a bachelor's degree or equivalent practical experience, six years of motion design experience in product design, UX design, or UX/UI animation, and motion design experience related to physics, patterns, and visual design elements. A portfolio, website, or any other relevant link to your work should be included in your resume.

Preferred qualifications include a master's degree in Design, Human-Computer Interaction, Computer Science, or a related field, or equivalent practical experience, three years of experience working in a complex, cross-functional organization, and two years of experience leading design projects.

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As an Executive Business Partner Program Manager at Google DeepMind, you will play a key role in the delivery and management of a mission-focussed and effective E/ABP program. You will partner closely with E/ABPs across the community, providing them with coaching and guidance to optimise their impact, as well as fostering strong relationships with a diverse, complex, and senior stakeholder group, ensuring that the community excels and adapts to evolving business needs.

Responsibilities

• Partner with the E/ABP Lead and other E/ABP Program Manager's to lead, develop and nurture the global GDM E/ABP community.
• Collaborate with senior stakeholders to manage the E/ABP community’s capacity and determine leadership partnering bundles by objectively assessing leadership support requirements and providing the information required to make informed decisions in line with the E/ABP program objectives.
• Manage a team of E/ABPs by setting expectations for each of your reports aligned to their role, level, and organisational goals. Provide regular feedback and coaching, invest in their development, assess their performance and regularly meet with the leader(s) they partner with for feedback. Recognize achievements and hold team members accountable against expectations.
• Ensure appropriate metrics, roles, and people are in place to meet organisational goals. Make prioritisation decisions, equitably allocate work, and manage resources to deliver business impact for GDM.
• Manage through change to deliver results by demonstrating good judgement, making and communicating adjustments and removing obstacles to ensure goals can be met during times of change. Encourage innovation and thoughtful risk taking to deliver business impact for GDM. Balance short term needs with longer term business goals and the E/ABP program strategy
• Take ownership of the E/ABP hiring strategy, planning and execution in partnership with our Talent Acquisition team to make equitable hiring and talent decisions across the team to meet current and future business needs.
• Ensure that community norms create belonging, psychological safety, and respect. Facilitate collaboration and open communication to help teams achieve results together.
• Encourage wellbeing by checking in with each E/ABP you manage and provide appropriate resources to support wellbeing as needed. Set the team up for sustained high performance by actively reprioritizing or redistributing work as demands on the community change.
• Role model and make decisions and support activities that align to GDM’s values, policies and practices. Encourage community members to positively contribute to GDM and recognize them for doing so.

Requirements

To be successful as an Executive Business Partner Program Manager at Google DeepMind, you will need:

• Team Management experience: an understanding of and continued investment in growing the skills and capabilities required to lead work, develop people, and build community.
• Ability to build trusting, collaborative relationships and rapport across all stakeholders groups and business areas. You confidently share your expertise and opinions and influence Leaders, reports and collaborators to make informed decisions.
• A resilient nature, you remain calm, implementing changes as required, seeking understanding and learning from any setbacks.
• You identify and take ownership for developing solutions to problems independently and improve ways of working, tools or processes.

Additionally, experience managing teams across offices and timezones, understanding of the E/ABP role and/or experience developing individuals within a supportive function, and experience working closely with senior stakeholders to deliver against business needs would be advantageous.

Salary and Benefits

The US base salary range for this full-time position is between $136,000 - $197,000 + bonus + equity + benefits.

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We're a multidisciplinary team building state-of-the-art generative models in chemistry & materials to accelerate scientific breakthroughs.

As a Research Scientist in our Science unit, you will be at the forefront of applying generative AI to the "Grand Challenge" of predicting the structure and properties of complex matter.

Your work will bridge the gap between in silico modeling and real-world laboratory discovery, particularly in areas where traditional computational methods are bottlenecked by time and complexity.

Key responsibilities:

• Design and train advanced AI models (transformers, generative models, etc.) to model the structure and properties of complex physical systems.

• Develop deep understanding of scientific domains that can be used to identify novel modelling approaches.

• Design and execute robust ML experiments that allow for the accumulation of small improvements, sharing results through clear verbal and written communication.

• Collaborate with other scientists and engineers to help shape the research roadmap.

About You

You are fascinated by the intersection of AI and natural science and determined to help solve grand challenges facing humanity.

In order to set you up for success as a Research Scientist at Google DeepMind, we look for the following skills and experience:

• PhD / equivalent experience in computer science, computational chemistry, materials science, physics with a focus on atomistic simulation or structural biology.

• Fluency in generative models and transformers

• Excellent collaboration and communication skills

• Experience with modern deep learning frameworks

In addition, the following would be an advantage:

• Record of high-impact published work at the intersection of AI and natural science, particularly chemistry and materials science.

• Demonstrated experience in geometric deep learning.

Applications close on Monday 20th April at 5pm BST

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We're hiring a Staff Model UX Designer to play a critical role in our Personalization initiatives. You'll be responsible for developing and implementing content and model behavior standards, architecting scalable frameworks and processes.

The Role

As a Model UX Designer on Personalization, you'll be responsible for crafting novel and intuitive experiences that leverage Gemini's model output to help users easily discover new features and deepen their engagement with our product.

Key Responsibilities

• Set the quality bar by creating principles, response strategies, and examples that define what good looks like.
• Drive continuous model improvement by diagnosing quality gaps and developing scalable, strategic frameworks,including guidelines, technical instructions, and cross-functional alignment,needed to scale response excellence.
• Partner closely with cross-functional teams, including engineers, product managers, researchers, and data scientists to shape the behavior of LLM models in support of growth strategies.
• Understand users and advocate for a user-centered approach to model output, ensuring that the content the model generates meets the needs and expectations of our users.
• Deeply understand model training methods and processes, and stay up-to-date on the latest advancements in generative AI.

About You

We're looking for a systems thinker with strong skills in content strategy, conversation design, and problem-solving, anchored by a passion for the craft of writing.

Requirements

• Demonstrated Strategic Impact & Leadership: Experience shaping content for strategic initiatives in relevant areas, such as hardware, software, digital agencies, creative industries, or journalism.
• Mastery of Writing Craft & Execution: A portfolio of work demonstrating intuitive, systems-aware content solutions with exceptional craft and strong rigor.
• Adaptability: Thrives in complexity, continuously learning and adapting with a growth mindset.
• Fluency in AI product design process: Experience training and tuning large language models or other generative AI technologies.

Salary

The US base salary range for this full-time position is between $165,000 USD - $245,000 USD + bonus + equity + benefits.

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Artificial intelligence will be one humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users.

The Role

As an Engineering Director, you will lead the Create strategy. Teams within Create focus on empowering users to generate and refine various forms of content, from visual media to generative music. The teams also work on developing robust content input and understanding capabilities to seamlessly integrate users' ideas.

In addition to these areas, you will work closely with Product Management, User Experience, and Data Science to improve these features and to build new LLM-forward capabilities into the Gemini App product. You will deploy capabilities that drive daily usage of the product.

To build out these features, each of your areas have a deep connection to Generative AI (Gen AI). You will partner closely with different Gen AI counterparts to quickly bring the latest and greatest model capabilities from Google DeepMind's Gen AI unit into the product.

Your core responsibilities will include:

• Define and execute the overall technical strategy for the Create area within Gemini App, aligning with the broader product outlook and driving daily usage.

• Lead and manage multiple engineering teams focused on features like content input and understanding, and content generation.

• Partner closely with Product Management, User Experience, and Data Science leads to define product roadmaps and deliver new LLM-forward capabilities.

• Drive the integration of GenAI model capabilities into Gemini App products.

• Foster a culture of innovation, collaboration, and rapid iteration within the engineering teams.

• Establish and track key performance indicators for the Create area, focusing on DAU for Gemini App.

• Manage cross-functional dependencies and collaborations with Gen AI, Workspace, Labs, and others as required to deliver great features.

• Ensure the scalability, reliability, and performance of Create-related features.

Candidate Qualifications

In order to set you up for success, we look for the following skills and experience:

• Bachelor's degree in Computer Science or Engineering, or equivalent practical experience.

• 15 years of experience in software engineering, building and working with systems in the technology organization.

• 7 years of experience managing teams of software engineers and managers of software engineers.

In addition, the following would be an advantage:

• Master's or PhD degree in Computer Science, or a related technical field.

• Experience incubating and scaling new product initiatives from conception (0 to 1) to broad adoption in a fast-paced or startup environment.

• Expertise and direct experience in the application and deployment of large-scale AI/Machine Learning systems, particularly in generative AI for consumer products.

Salary

The US base salary range for this full-time position is between $307,000 - $427,000 + bonus + equity + benefits.

Benefits

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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Key responsibilities include: Architecting the Gemini app serving and orchestration layers, defining interfaces for a scalable, modular codebase. Designing and implementing robust CI/CD pipelines and experimentation platforms. Driving application performance initiatives, debugging complex production issues, and advocating for code quality standards. Acting as the strategic technical counterpart to product and design leadership, assessing feasibility of ambitious concepts and proposing technical solutions. Mentoring staff and senior engineers, leading code reviews, and fostering a culture of technical accuracy, psychological safety, and user-centricity.

To succeed in this role, you will need a Bachelor's degree in Computer Science or Engineering, or equivalent practical experience, and 15 years of experience in software engineering, building and working with systems in the technology organization.

The US base salary range for this full-time position is between $307,000 - $427,000 + bonus + equity + benefits.

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You will spend a significant portion of your time on technical execution while managing a multi-disciplinary team to evolve our software stack. You will directly contribute to the codebase and technical strategy, focusing on acting as a Mountain View-based bridge between our co-design time and the Gemini core team.

You will lead a small team of ML software engineers across numerics, performance optimization, novel training techniques, and novel model exploration. You will drive team cohesion by synthesizing fragmented technical opinions into a single, high-quality execution plan.

You will partner closely with the hardware team to define requirements for next-generation ML accelerators. You will oversee technical execution across a virtual team including Google-internal and external partners.

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.

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As an Executive Business Partner Program Manager at Google DeepMind, you will play a key role in the delivery and management of a mission-focussed and effective E/ABP program. You will partner closely with E/ABPs across the community, providing them with coaching and guidance to optimise their impact, as well as fostering strong relationships with a diverse, complex, and senior stakeholder group, ensuring that the community excels and adapts to evolving business needs.

Responsibilities

• Partner with the E/ABP Lead and other E/ABP Program Managers to lead, develop and nurture the global GDM E/ABP community.
• Collaborate with senior stakeholders to manage the E/ABP community's capacity and determine leadership partnering bundles by objectively assessing leadership support requirements and providing the information required to make informed decisions in line with the E/ABP program objectives.
• Manage a team of E/ABPs by setting expectations for each of your reports aligned to their role, level, and organisational goals. Provide regular feedback and coaching, invest in their development, assess their performance and regularly meet with the leader(s) they partner with for feedback. Recognize achievements and hold team members accountable against expectations.
• Ensure appropriate metrics, roles, and people are in place to meet organisational goals. Make prioritisation decisions, equitably allocate work, and manage resources to deliver business impact for GDM.
• Manage through change to deliver results by demonstrating good judgement, making and communicating adjustments and removing obstacles to ensure goals can be met during times of change. Encourage innovation and thoughtful risk taking to deliver business impact for GDM. Balance short term needs with longer term business goals and the E/ABP program strategy
• Take ownership of the E/ABP hiring strategy, planning and execution in partnership with our Talent Acquisition team to make equitable hiring and talent decisions across the team to meet current and future business needs.
• Ensure that community norms create belonging, psychological safety, and respect. Facilitate collaboration and open communication to help teams achieve results together.
• Encourage wellbeing by checking in with each E/ABP you manage and provide appropriate resources to support wellbeing as needed. Set the team up for sustained high performance by actively reprioritizing or redistributing work as demands on the community change.
• Role model and make decisions and support activities that align to GDM's values, policies and practices. Encourage community members to positively contribute to GDM and recognize them for doing so.

Requirements

• Team Management experience: an understanding of and continued investment in growing the skills and capabilities required to lead work, develop people, and build community.
• Ability to build trusting, collaborative relationships and rapport across all stakeholders groups and business areas. You confidently share your expertise and opinions and influence Leaders, reports and collaborators to make informed decisions.
• A resilient nature, you remain calm, implementing changes as required, seeking understanding and learning from any setbacks.
• You identify and take ownership for developing solutions to problems independently and improve ways of working, tools or processes.

Preferred Qualifications

• Experience managing teams across offices and timezones
• Understanding of the E/ABP role and/or experience developing individuals within a supportive function
• Experience working closely with senior stakeholders to deliver against business needs

Salary and Benefits

The US base salary range for this full-time position is between $136,000 - $197,000 + bonus + equity + benefits.

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As an Executive Business Partner Program Manager at Google DeepMind, you will play a key role in delivering and managing a mission-focussed and effective E/ABP program.

Day-to-day, you will partner closely with E/ABPs across the community, providing coaching and guidance to optimise their impact, as well as fostering strong relationships with a diverse, complex, and senior stakeholder group, ensuring that the community excels and adapts to evolving business needs.

Responsibilities

• Partner with the E/ABP Lead and other Executive Business Partner Program Managers to lead, develop and nurture the global GDM E/ABP community.
• Collaborate with senior stakeholders to manage the E/ABP community's capacity and determine leadership partnering bundles by objectively assessing leadership support requirements and providing the information required to make informed decisions in line with the E/ABP program objectives.
• Manage a team of E/ABPs by setting expectations for each of your reports aligned to their role, level, and organisational goals. Provide regular feedback and coaching, invest in their development, assess their performance and regularly meet with the leader(s) they partner with for feedback. Recognize achievements and hold team members accountable against expectations.
• Ensure appropriate metrics, roles, and people are in place to meet organisational goals. Make prioritisation decisions, equitably allocate work, and manage resources to deliver business impact for GDM.
• Manage through change to deliver results by demonstrating good judgement, making and communicating adjustments and removing obstacles to ensure goals can be met during times of change. Encourage innovation and thoughtful risk taking to deliver business impact for GDM. Balance short term needs with longer term business goals and the E/ABP program strategy
• Take ownership of the E/ABP hiring strategy, planning and execution in partnership with our Talent Acquisition team to make equitable hiring and talent decisions across the team to meet current and future business needs.
• Ensure that community norms create belonging, psychological safety, and respect. Facilitate collaboration and open communication to help teams achieve results together.
• Encourage wellbeing by checking in with each E/ABP you manage and provide appropriate resources to support wellbeing as needed. Set the team up for sustained high performance by actively reprioritizing or redistributing work as demands on the community change.
• Role model and make decisions and support activities that align to GDM's values, policies and practices. Encourage community members to positively contribute to GDM and recognize them for doing so.

Requirements

• Team Management experience: an understanding of and continued investment in growing the skills and capabilities required to lead work, develop people, and build community.
• Ability to build trusting, collaborative relationships and rapport across all stakeholders groups and business areas. You confidently share your expertise and opinions and influence Leaders, reports and collaborators to make informed decisions.
• A resilient nature, you remain calm, implementing changes as required, seeking understanding and learning from any setbacks.
• You identify and take ownership for developing solutions to problems independently and improve ways of working, tools or processes.

Preferred Qualifications

• Experience managing teams across offices and timezones
• Understanding of the E/ABP role and/or experience developing individuals within a supportive function
• Experience working closely with senior stakeholders to deliver against business needs

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This isn't just about event management; it's about harnessing strategic creativity to lead a high performing team in an era where AI is redefining what's possible. You will design the physical touchpoints and experiences that bring our technology to life, build trust in our mission, and foster the deep, interdisciplinary collaboration required to 'solve intelligence'.

As the Global Event Programs Lead, you will report directly to the Director of Global Events and Experiences, partner closely with the Event Operations Lead, and lead a team of 8 dedicated event managers. This role is global covering Americas, EMEA and APAC.

Key Responsibilities:

• Design a global events portfolio that mirrors GDM's position on the frontier of science and technology.

• Cultivate trusted relationships with senior internal stakeholders, providing expert partnership and thought leadership to teams across Google DeepMind and Google.

• Ensure flawless delivery by employing best-in-class event project management and operational rigor.

• Drive impact by constantly iterating and innovating event formats at pace to increase engagement.

• Maintain curiosity in the AI landscape and events industry, using global insights to inform our engagement strategy.

• Lead and develop a team of 8 event managers based in London, UK and Mountain View, California.

• Deputise for the Director of Global Events & Experiences when required.

• Agency/Vendor management, budget management, and compliance with health, safety, and security governance.

About You:

• Senior-level experience leading complex internal and external event programmes, ideally within a high-growth technology or scientific environment.

• AI Fluency: A deep curiosity for the AI landscape and a track record of using emerging technology to enhance human connection.

• The ability to 'join the dots' across a complex global organisation, moving beyond execution to design holistic strategies that maximise impact.

• A proven mentor who can inspire a team of 8 across different time zones, fostering a culture of excellence and bold experimentation.

• A creative mindset with the ability to take nascent, complex scientific concepts and translate them into world-class tangible experiences.

• A confident and influential communicator who builds trusted partnerships with senior leadership, stakeholders and partners.

• Resilience & Agility: The ability to lead through ambiguity and change, in a fast-paced, high-stakes environment.

• Exceptional project and budget management skills

• A collaborative, inclusive approach

• Flexibility to travel internationally.

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You'll partner with Product, Engineering, and Policy to shape the behavior and responses of LLM models, utilizing mastery of the art and structure of language to create principles, response strategies, and examples for the content quality of Gemini models. You'll define and establish comprehensive content standards and specifications for Gemini models, addressing factors like factual accuracy, privacy, safety, personality, tone, and style.

Key responsibilities include diagnosing content quality issues, developing strategies and alignment for implementation and hillclimbing across product areas, and creating scalable solutions to UX and process challenges across teams. You'll also advocate for a user-centered approach to model output, ensuring that the content the model generates meets the needs and expectations of our users.

To set you up for success as a Model UX Designer at Google DeepMind, we look for the following skills and experience:

• 5+ years of experience on user-focused writing, including work in hardware, software, digital agencies, creative industries, journalism, or other relevant areas
• Experience in shaping content for multi-disciplinary projects
• A portfolio of content strategies and longer-form writing samples

In addition, the following would be an advantage:

• Experience training and tuning large language models or other generative AI technologies
• Experience being a driver in a fast-paced, startup environment
• Experience working on multi-modal platforms, like voice-driven experiences or AR/VR
• Experience gathering and working with data to identify loss patterns and create actionable insights
• Experience developing AI-driven prototypes

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Artificial Intelligence could be one of humanity's most useful inventions. At Google DeepMind, we're a dedicated scientific community, committed to building AI responsibly to benefit humanity.

The Role

This role provides support for initiatives across the global TA function supporting Research hiring. You'll focus on our goal of attracting and securing world-class talent for the business in partnership with Recruitment and a range of stakeholders across the business.

Responsibilities

• Identification and engagement of global Research talent through utilization of AI tools and in collaboration with our own leading researchers.
• Support with program planning of initiatives designed to engage new talent
• Identify talent maps and key competitor insights, specifically focused on GDM's top competing AI labs.
• Proactive candidate outreach to meet our recruitment objectives.
• Partner with the TA Leader to provide relevant talent insights and market intel. Gather this through individual research and in partnership with Google teams.
• Coordinating interview processes for potential candidates and conducting screening calls to assess for eligibility and alignment.
• Develop connections with schools, colleges and universities, helping drive our talent strategy at grass roots level.

About You

In order to set you up for success, we look for the following skills and experience:

• Someone who enjoys learning about and developing insights on a range of topics from macroeconomic trends to identifying key talent for critical roles across GDM.
• Able to translate data into actionable insights by creatively finding + synthesizing information from multiple sources into concise, understandable material.
• A subject matter expert on research talent who brings a systematic approach to hiring challenges, evaluating root causes and implications across GDM research.
• Able to partner effectively with recruiters, hiring managers and program sponsors, and across multiple different teams, locations and divisions.
• You care deeply about crafting a positive experience for all candidates you engage with.
• You are highly organized with the agility to work optimally in changeable and ambiguous environments.
• You are interested in AI and technology, wanting to contribute to Google DeepMind's mission in a thoughtful and responsible way, while leveraging AI tools effectively and responsibly to engage talent.
• Experience working in the technology industry or with technical teams.

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.

The US base salary range for this position is between $111,000 USD - $159,000 USD + bonus + 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

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This is a unique opportunity to be at the cutting edge of AI interface experimentation, tackling ambiguous, high-impact design challenges. You'll be instrumental in inventing novel interaction patterns and rich multimodal experiences for users to get the most out of AI.

Your work will push the boundaries of interface design beyond today's chat logs based on messaging apps to create tomorrow's "natively AI" interfaces.

As a Sr Staff. AI Product Designer to lead our Mobile Experience initiatives for the Gemini App, you'll be responsible for crafting new, novel, and intuitive experiences that help users get the most value out of AI on their mobile devices – particular focus on app design.

Your charter is to define "first of their kind" experiences that are striking, original, and offer unprecedented experiences with AI. When done right, your work will be embraced as simple, approachable, and beloved by users around the world.

You'll operate as a strategic partner, collaborating cross-functionally with product managers, engineers, UX researchers, data scientists, and marketers. Together, you'll ideate, design, and implement solutions that not only enhance the user journey but also drive engagement.

A core aspect of this role involves becoming an expert in our users' needs. This means gaining a profound understanding of diverse user behaviors, preferences, and pain points across various geographies, devices, and audience segments.

You'll leverage this expertise to inform your design decisions and ensure our solutions are truly user-centric.

Furthermore, you'll actively partner with design teams across the broader organisation. By understanding their feature roadmaps and strategic objectives, you'll identify opportunities to deliver continuous and meaningful value to our users.

Key responsibilities:

• Lead the design of innovative experiences that drive simple, fluid conversations & journeys with generative AI for our mobile apps.

• Partner closely with cross-functional teams, including product managers, engineers, UX researchers, data scientists, and marketers, to define and execute IA models and interaction strategies.

• Develop a deep expertise in user needs across various geographies, platforms, and audience segments, leveraging this understanding to inform all design decisions.

• Translate complex user insights into actionable design solutions that deliver measurable value to our customers, specifically embracing AI as a tool in your design process not just the end-product for which you are designing.

• Elevate design craft and champion user-centered design principles throughout the product development lifecycle.

In order to set you up for success as a Senior Designer at Google DeepMind, we look for the following skills and experience:

• Strategic Impact & Product Thinking: Addresses highly complex design challenges for strategic, high-impact AI product initiatives, prioritising user goals and business strategy.

• Cross-Functional Leadership & Alignment: Leads and influences cross-functional teams, ensuring design solutions prioritise user needs and product best interests. Recognised as a key influencer.

• Mastery of Design Craft & Execution: Delivers intuitive, system-aware, and polished design solutions through exceptional craft. Recognised as a 'go-to' expert, sharing knowledge and elevating team skill.

• Adaptability: Thrives in complexity, continuously learning and adapting with a growth mindset. Evolves strategies and processes as needed.

• Fluency in AI product design process: Leverages AI expertise, data and user insights, to craft impactful design solutions and drive product innovation.

• Demonstrable experience designing polished, highly performant mobile apps and experiences requiring OS integrations (Android, iOS).

The US base salary range for this full-time position is between $224,000 USD - $315,000 USD + bonus + equity + benefits.

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Technical Program Manager, Frontier AI Research

About Us

Google DeepMind is a technology company that develops artificial intelligence (AI) and machine learning (ML) systems.

The Role

As a Technical Program Manager 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.

Key Responsibilities

• Program Strategy and Execution: Translate complex research and engineering efforts into execution plans and measurable goals, and actively drive delivery through sprints or equivalent methodologies.
• Technical Due Diligence: Utilize advanced TPgM tools and processes, evaluate engineering scope, establish technical roadmaps, and influence technical direction.
• Cross-Functional Leadership: Build and guide effective cross functional partnerships across diverse disciplines, including modeling, infrastructure, and evaluation, to ensure alignment on shared objectives.
• Operational Excellence: Build and optimize scalable operational frameworks, establishing robust mechanisms to monitor program performance and anticipate technical risks while strategically reducing your personal operational load to allow it to scale.
• Continuous Innovation: Proactively identify and implement opportunities to enhance research velocity and engineering excellence through optimized tools and methodologies.
• Stakeholder Management: Distill complex technical updates and research progress into clear, actionable insights for diverse audiences and executive leadership.
• Resource Optimization: Drive strategic planning for mission-critical resources, including compute management and allocation, to respond to a rapidly changing competitive landscape.

About You

• Minimum Qualifications:
• Bachelor’s degree in Computer Science, Engineering, a related technical field, or equivalent practical experience.
• 5+ years of experience in Technical Program Management or a related role within an advanced technical or research environment.
• Proven experience partnering directly with research or engineering leads to deliver on high-impact, technically complex projects.
• Comprehensive technical knowledge and understanding of program management methodologies adapted for research-centric environments.
• Preferred Qualifications:
• Master’s or PhD degree in a technical field, particularly related to AI/machine learning.
• Direct experience in AI/ML research or development
• Strong analytical and problem-solving skills, with a demonstrated ability to understand complex technical systems and identify opportunities for optimization.
• Passion for the future of AI and the ability to thrive in a dynamic, fast-paced environment where technology meets real-world impact.

Salary

The US base salary range for this full-time position is between $163,000 - $237,000 + bonus + equity + benefits.

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Our Talent Acquisition team is responsible for attracting, recruiting, and onboarding exceptional talent to accelerate Google DeepMind's mission. Within this team sits our TA Operations team, responsible for owning and designing the end-to-end journey of Google DeepMind candidates globally, from application through to onboarding and orientation, aiming to deliver a seamless, high-touch lifecycle that reflects our culture.

###ecnAbout 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 will sit within the TA Operations team, and will partner with our Recruiters to provide interview coordination support and a white-glove experience exclusively to our senior and executive global talent pools. Beyond this, the role will execute projects focused on elevating both the hiring and onboarding experience, and drive process enhancements to ensure a unified approach across Google DeepMind.

This twelve-month contract role will be based in London, and will report into our Talent Experience & Operations Lead.

You will collaborate closely with four other Talent Operations Associates and our two Onboarding & Orientation Leads, based across London and Mountain View.

Key Responsibilities:

• Senior & Executive Interview Coordination: Proactively manage high-priority, senior, and executive interview scheduling. Efficiently manage a high volume of video and in-person interviews across multiple time zones, skillfully handling reschedules with speed and accuracy.
• Candidate Experience: Foster exceptional candidate experiences through direct candidate communication, and by driving projects and process improvements focused on candidate experience.
• Working with Vendors: Provide support, training, and management of our vendor scheduling coordination team.
• Onboarding: Support our Onboarding program by leading in-person events for new hires in our Mountain and London offices, creating opportunities for connection and learning. Help oversee onboarding operational support workflows, vendor management, and white-glove support for special populations (leaders and M&A).
• Process Management: Champion our end-to-end TA workflows and processes, providing guidance and support to Recruiters where needed.
• Continuous Improvement: Proactively anticipate challenges within hiring processes and use initiative to recommend solutions, and identify opportunities to enhance processes and candidate experience, contributing to broader Talent Acquisition projects.
• Stakeholder Management: Partner with recruiters, and hiring managers, serving as a trusted point of contact and effectively managing expectations. Collaborate with our Onboarding & Orientation team to ensure a smooth transition for new hires.
• ATS Management: Demonstrate proactive and exceptional ATS management, alongside competent reporting skills to draw data relevant to efficient hiring processes and positive candidate experience.

About You

In order to set you up for success as a Talent Operations Associate at Google DeepMind, we look for the following skills and experience:

• You possess proven administrative skills, particularly in managing complex scheduling and handling large datasets.
• You're energized by a dynamic workplace, juggling multiple tasks with ease while maintaining high-quality outcomes.
• You thrive in evolving environments and embrace ambiguity: you are able to collaborate in an agile way, readily adapting to new ways of working in response to business needs.
• You're a proactive problem solver who communicates effectively, and welcomes opportunities to implement innovative solutions.
• You enjoy being part of a team and are able to build strong relationships with others. You put people at ease and create understanding, including candidates.
• You possess a keen eye for detail, ensuring accuracy and efficiency in all your work.
• You demonstrate a growth mindset and readily seek out opportunities to develop new skills.

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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.

You will play a crucial role in shaping the future of how people interact with AI.

Responsibilities:

• 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.

• Key contributor to product strategy: Collaborate with Product and Engineering to define product strategy and influence key cross-functional decisions that drive positive user outcomes.

• 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.

• 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, optimised for AI's probabilistic nature and multimodal capabilities.

• Craft visually compelling interfaces: Create high-fidelity visual designs, encompassing layouts, typography, colour palettes, and iconography, that are aesthetically pleasing and highly usable.

• Motion and interaction design: Design engaging interactions and fluid interfaces, utilising tools like Origami Studio, Principle, and Protopie, and create motion designs that enhance user experience and effectively communicate complex information.

• Bridge design and technology: Leverage technical understanding to use system instructions and diverse prototyping methods, simulating model responses to inform design requirements and approaches.

• 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.

• Design for ethical and societal impact: Consider the intricate interplay of AI models, user interface, ethical considerations, and societal impacts to develop responsible solutions.

Minimum Qualifications:

• Bachelor's degree in Design, Human-Computer Interaction, or a related field.

• 7+ years of experience designing user interfaces for complex software applications, with specific experience designing for conversational AI / LLMs.

• 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.

• 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.

• Demonstrated expertise in designing intuitive and engaging interactions for AI-driven products.

• Demonstrated expertise in guiding cross-functional teams through ideation, validation, and iteration processes, transforming abstract ideas into shippable product.

• Familiarity with behavioural data and strong capability to create data-driven designs, while being equally capable of moving forward in the absence of data.

• Proficiency in design tools such as Figma, Sketch, Adobe Creative Suite, and Principle.

• Excellent communication and collaboration skills with the ability to listen, articulate positions, and challenge partners with new product design thinking.

• Mastery in presentation and storytelling capabilities with the ability to communicate effectively to leadership and cross company teams.

• 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.

• 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.

Preferred Qualifications:

• Demonstrated ability to foster divergent design thinking and translate complex AI concepts into user-centered product visions.

• Proven experience in shepherding radical ideas that leverage AI to create truly transformative product experiences.

• Experience prototyping interactive experiences using tools like Figma, ProtoPie, or Framer.

• Experience with front-end development technologies (HTML, CSS, JavaScript).

• Experience driving product impact through close collaboration with user research, including expertise in user research methodologies for AI product evaluation.

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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.

The Role

As a People & Culture (P&C) Partner to our Central Operations, Responsibility and Engagement (CORE) teams, you'll be a pivotal force in shaping and accelerating the delivery and performance of your Organisation's highest priorities. Working alongside the wider P&C team, you will collaborate directly with CORE senior leaders to cultivate healthy, high-performing teams.

You'll deeply understand the business, provide strategic direction and coaching and lead change management initiatives across a dynamic, global organisation. You will proactively design and implement creative people and culture solutions that not only drive exceptional team performance but also directly align with our ambitious organisational goals, delivering measurable, impactful results.

Key Responsibilities

• Driving business strategy and outcomes - deeply understand the organisation's product, business and goals, and drive people strategies and tactics to support it

• Delivering high impact solutions to challenges including organisation design and leadership capability, ensuring alignment with strategic goals

• Partnering with and coaching senior leaders to develop their skills and improve team and organisational performance

• Acting with confidence and strong judgement in an inspiring and fast-paced environment, instilling trust in everyone you interact with, and delivering thoughtful, bespoke and creative solutions

• Being proactive and adaptable, anticipating and addressing challenges before they arise

• Utilising a data-driven approach to partnering

About You

In order to set you up for success as a People & Culture Partner at Google DeepMind, we look for the following skills and experience:

• You have substantial experience operating as an HR professional, ideally spanning both agile, scaling businesses and larger, complex, matrixed companies.

• You thrive in a dynamic environment and possess the ability to lead and manage multiple complex projects simultaneously, while effectively prioritising and delegating tasks. You seamlessly transition between strategic planning and hands-on execution, demonstrating a strong understanding of both the operational and strategic aspects of HR.

• You possess an outstanding understanding of human behaviour including a strong understanding of self.

• Ability and curiosity to use AI tools practically and effectively in your work, with a recognition and awareness of AI's responsible use, risks, and limitations.

• Ability to leverage and promote AI for team and organisational productivity

• You are a seasoned thought partner who has cultivated deep, trusting 1:1 relationships with senior leaders, enabling you to effectively influence decisions.

• You are extremely organised, you are used to working at a very quick pace and balancing many different tasks. You are proactive and see what needs to be done.

• You can effectively navigate ambiguity and enjoy changeable environments where you can implement creative and innovative ideas. You are a strategic thinker with a passion for driving organisational success and fostering a culture of excellence.

• You are looking for a career-defining role in a mission-driven and pioneering organisation.

In addition, the following would be an advantage:

• Experience within a fast-paced, technology-driven environment

• Experience working within AI or a product organisation, and/or working within Alphabet

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Your work will be critical to delivering a real-world validation of our approach, with a primary focus on core software engineering tasks to:

Enable rapid, trustworthy experimentation. Maintain rigorous benchmarking and testing. Manage scale for both data and model size. Ensure and maintain high data quality for both real-world and synthetic data.

Key Responsibilities

• Design, implement, and maintain robust and reliable systems and workflows for generating large-scale synthetic and real datasets of power grid optimization problems.
• Design and implement rigorous unit, integration, and system tests to ensure the reliability, accuracy, and maintained performance of our models and software, with a focus on data pipelines.
• Maintain and contribute to our machine learning codebase, ensuring efficient data structures and seamless integration with our power system models and optimization solvers.
• Ensure the codebase supports ongoing experimentation, while simultaneously increasing scalability, robustness, and reliability via improved integration testing and performance benchmarking.
• Work closely and collaboratively with a team of engineers, research scientists, and product managers to deliver real-world impact.

Minimum Qualifications

• Bachelor's degree in Computer Science, Software Engineering, or equivalent practical experience.
• Excellent proficiency in C++, Python, or Jax.
• Demonstrated experience developing or utilizing solutions for robustness or quality assurance within software and/or ML systems.
• Experience processing, generating, and analyzing large-scale data, e.g. for ML applications.
• Proven ability to discuss technical ideas effectively and collaborate in interdisciplinary teams.
• Motivated by the prospect of real-world impact and focused on excellence in software development.

Preferred Qualifications

• Experience with Google's technical stack and/or Google Cloud Platform (GCP).
• Familiarity with modern hardware accelerators (GPU / TPU).
• Experience with modern ML training frameworks, such as Jax.
• Experience in developing software in a translational research or production setting.
• Proficiency in Julia

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Senior Program Manager, Google DeepMind Impact Accelerator

Job Description

The role of the Program Management Team is to shape and accelerate the delivery of GDM's highest priorities. We do this through translating strategy into program plans, implementing efficient ways of working, and developing successful teams to drive end-to-end delivery of our GDM objectives.

We provide focus for our teams through co-developing goals and priorities, continually anchoring teams back to these. We always pursue sustainable ways to optimize our work, striving to ensure we cultivate an environment where people can be both highly collaborative and deeply creative, making responsible and groundbreaking progress at pace.

We build positive relationships with teams, bringing clarity to ambiguity and providing stability during change. In addition, our program management expertise structures complex projects, and we continuously deepen our technical knowledge, working alongside researchers and engineers to ensure all our work is advancing towards our mission!

Responsibilities

As a Senior Program Manager, you will drive the success of all strategic initiatives within the Google DeepMind Impact Accelerator. You will partner with senior leadership across the team, Google DeepMind, Google, and Alphabet to develop strategy into actionable programs, ensuring alignment with organizational goals.

You will partner with Pillar Leads and the wider GDI team to effectively drive goals forwards, apply expert program and portfolio management methodologies, and guide teams through complex, ambiguous environments.

You will establish the ways of working in the team, setting norms and processes to provide clarity and consistency. You will also lead and develop a team of Program Managers, fostering a culture of continuous improvement and collaboration.

Key Responsibilities

Strategy and Thought Partnership

Partner with GDI Leads to understand and align with their objectives and vision, providing effective thought-partnership Collaborate with leadership to refine strategy, representing and communicating it effectively across the team and organization. Set team-wide tools, processes and norms, and enforce those to enable the team to run effectively Translate evolving strategies into a prioritized portfolio of work, providing oversight and insights to inform leadership decisions. Partner with pillar leads to focus their programs into a balanced portfolio that delivers regular results Drive far-reaching buy-in for GDI strategy and impact by enabling effective Leadership and team engagement across internal and external programs and events.

Management, Delivery and Leadership

Manage the full portfolio of initiatives, empowering the GDI PgM team, and ensuring alignment with organizational mission and impact. Deliver scoped, complex cross-functional programs of work when required Lead and role model end-to-end program planning and delivery of key priorities when needed, utilizing appropriate program management methodologies and tools. Lead and manage a team of Program Managers to deliver against a range of objectives & priorities, providing leadership, advice, coaching, and guidance on projects and programs Drive engagement across the team by building relationships, sharing constructive feedback and challenging established ways of thinking Ensure and proactively shape culture to ensure best practices in program management across the team: tracking progress, managing risks, communicating effectively, regular retrospectives, etc Coach teams through fostering collaboration, driving engagement, and providing clear communication in pursuit of clearly defined goals.

About You

In order to set you up for success as a Senior Program Manager at Google DeepMind, we look for the following skills and experience: Experience working with senior leadership, confidently communicating challenges and risks while proposing new solutions. A track record of leading and delivering complex projects and programs in an ambiguous environment involving AI Extensive expertise in portfolio and program management, with a proven ability to navigate ambiguity and adapt to change. Proven ability to navigate fast-paced, ever-evolving environments, demonstrating resourcefulness and creativity in solving complex challenges and implementing scalable solutions. Demonstrated ability to improve processes, workflows, and governance models to enhance efficiency with cross-functional teams. Excellent communication and relationship-building skills, with the ability to influence outcomes. Ability to effectively cultivate a collaborative environment, leveraging the expertise of others and empowering & motivating team members to overcome challenges and find solutions Proactive learner with a curious attitude and a passion for advancing AI and social impact. Favours pragmatism over perfection, anticipating both challenges to and opportunities for impact across your focus areas.

Benefits

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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Key responsibilities include:

• Post-training/instruction tuning state-of-the-art LLMs, focusing on text-to-text, image/video/audio-to-text modalities and agentic capabilities
• Exploring data, reasoning, and algorithmic solutions to ensure Gemini Models are safe, maximally helpful, and work for everyone
• Improve Gemini's adversarial robustness, with a focus on high-stakes abuse risks
• Design and maintain high-quality evaluation protocols to assess model behavior gaps and headroom related to safety and fairness
• Develop and execute experimental plans to address known gaps, or construct entirely new capabilities
• Drive innovation and enhance understanding of Supervised Fine Tuning and Reinforcement Learning fine-tuning at scale

To succeed as a Research Scientist in the Gemini Safety team, we look for the following skills and experience:

• PhD in Computer Science, a related field, or equivalent practical experience
• Significant LLM post-training experience
• Experience in Reward modeling and Reinforcement Learning for LLMs Instruction tuning
• Experience with Long-range Reinforcement learning
• Experience in areas such as Safety, Fairness, and Alignment
• Track record of publications at NeurIPS, ICLR, ICML
• Experience taking research from concept to product
• Experience with collaborating or leading an applied research project
• Strong experimental taste: Good judgment regarding baselines, ablations, and what is worth testing
• Experience with JAX

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This role focuses on rapidly developing new features, and working across partner teams to deliver solutions, and maximize impact for Google and top customers.

You will be instrumental in translating cutting-edge AI research into real-world products, and demonstrating the capabilities of latest-generation models.

We are looking for engineers with a strong track record of building and shipping AI-powered software, ideally with experience in early-stage environments where they have contributed to scaling products from initial concept to production.

The ideal candidate will be motivated by the opportunity to drive product & business impact.

Key responsibilities:

• Harness frontier models to drive real-world high-impact outcomes

• Build evaluations, training data, and infrastructure to support AI deployments and rapid iterations

• Collaborate with researchers and product managers to translate research advancements into tangible product features.

• Contribute to the development of best practices for building and deploying generative AI applications.

• Contribute signal to influence the development of frontier models

• Lead the architecture and development of new products & features from 0 to 1.

About you:

In order to set you up for success as a Staff Research Engineer, Applied AI at Google DeepMind, we look for the following skills and experience:

Required Skills:

• Bachelor's degree or equivalent practical experience.

• 8 years of experience in software development, and with data structures/algorithms.

• 5 years of hands-on experience in AI research (e.g. RL, finetuning, evals), AI applications, or model deployment

• Proven experience in rapidly developing and shipping software products.

• Deep understanding of software development best practices, including testing & deployment.

• Experience with cloud computing platforms and infrastructure (e.g., Google Cloud Platform, AWS, Azure).

• Substantial experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, Hugging Face, etc.

• Ability to work in a fast-paced environment and adapt to changing priorities.

Preferred Skills:

• Experience with generative AI research or applications.

• Contributions to open-source projects.

• Experience working in, or founding early stage startups.

• Experience delivering software solutions in a fast-paced, customer-facing environment.

If you are a passionate machine learning engineer with a drive to build innovative products and a desire to work at the forefront of AI, we encourage you to apply!

The US base salary range for this full-time position is between $197,000 - $291,000 + bonus + equity + benefits.

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Responsibilities:

• Conduct research on post-training methods for information-seeking scenarios in Gemini, including reinforcement learning and self-supervised training.
• Develop novel evaluation methods for improving model quality, grounding, and factuality.
• Investigate orchestration of tool calls and improved retrieval methods for information-seeking scenarios.

Requirements:

• PhD in a relevant area, or an equivalent research/publication record.
• Strong software-engineering skills in addition to a research background.

Preferred Qualifications:

• Experience in reinforcement learning.
• Experience in post-training methods.
• Experience in Large Language Models for information-seeking scenarios.

The US base salary range for this full-time position is between $147,000 USD - 211,000 + bonus + equity + benefits.

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Key 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.

To 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.

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Artificial intelligence will be one humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users.

We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.

The Role:

As an Engineering Director, you will lead the Create strategy. Teams within Create focus on empowering users to generate and refine various forms of content, from visual media to generative music. The teams also work on developing robust content input and understanding capabilities to seamlessly integrate users' ideas. In addition to these areas, you will work closely with Product Management, User Experience, and Data Science to improve these features and to build new LLM-forward capabilities into the Gemini App product.

You will deploy capabilities that drive daily usage of the product. To build out these features, each of your areas have a deep connection to Generative AI (Gen AI). You will partner closely with different Gen AI counterparts to quickly bring the latest and greatest model capabilities from Google DeepMind's Gen AI unit into the product.

Your core responsibilities will include:

• Define and execute the overall technical strategy for the Create area within Gemini App, aligning with the broader product outlook and driving daily usage.

• Lead and manage multiple engineering teams focused on features like content input and understanding, and content generation.

• Partner closely with Product Management, User Experience, and Data Science leads to define product roadmaps and deliver new LLM-forward capabilities.

• Drive the integration of GenAI model capabilities into Gemini App products.

• Foster a culture of innovation, collaboration, and rapid iteration within the engineering teams.

• Establish and track key performance indicators for the Create area, focusing on DAU for Gemini App.

• Manage cross-functional dependencies and collaborations with Gen AI, Workspace, Labs, and others as required to deliver great features.

• Ensure the scalability, reliability, and performance of Create-related features.

Candidate Qualifications

In order to set you up for success, we look for the following skills and experience:

• Bachelor's degree in Computer Science or Engineering, or equivalent practical experience.

• 15 years of experience in software engineering, building and working with systems in the technology organization.

• 7 years of experience managing teams of software engineers and managers of software engineers.

In addition, the following would be an advantage:

• Master's or PhD degree in Computer Science, or a related technical field.

• Experience incubating and scaling new product initiatives from conception (0 to 1) to broad adoption in a fast-paced or startup environment.

• Expertise and direct experience in the application and deployment of large-scale AI/Machine Learning systems, particularly in generative AI for consumer products.

• The US base salary range for this full-time position is between $307,000 - $427,000 + 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.

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Senior Psychologist

Job Description

We are seeking a Senior Psychologist to join the Responsible Development & Innovation team (ReDI) at Google DeepMind. The candidate should have relevant prior industry experience, a strong general understanding of core psychological principles and the ability to leverage internal and external expertise and research experience in AI-related areas (e.g., cognitive, behavioural).

Responsibilities

As a Senior Psychologist within the Ethics Foresight team, you will be pivotal in ensuring our advanced AI models interact with people, in healthy and developmentally appropriate ways, consistent with Google DeepMind's values. You will use your intellectual agility and deep expertise in psychology to proactively identify and address potential ethical and well-being implications of our AI technologies. You will be engaging with senior stakeholders to champion our efforts. This role demands someone capable of quickly grasping and contributing to diverse topics while possessing a strong foundational understanding of psychological principles, especially as they relate to human-computer interaction.

Key Responsibilities

• General AI Psychology Guidelines: Develop practical guidelines and frameworks informed by general psychological principles (e.g., cognitive biases, well-being, mental health, developmental) and empirical data to ensure that AI models interact in ways that promote positive outcomes and mitigate potential psychological harms.
• Support Implementation: Convert these frameworks into artefacts that include training datasets and evaluation protocol.

Collaborate with model development teams to advise on and facilitate the creation and implementation of evaluation frameworks, defining key metrics, tracking protocols, and criteria for significant results.

• Emerging Trends: Stay informed about the latest research and emerging trends in psychology, and the evolving landscape of AI and its potential impact on users.
• Risk Identification and Analysis: Proactively identify and research potential psychological risks and ethical considerations arising from interactions between advanced AI and users, drawing upon your expertise psychology, and related fields.
• Interdisciplinary Collaboration: Work closely with AI researchers, engineers, product managers, across Google DeepMind to integrate psychological insights into the AI development lifecycle.
• Literature Review and Expert Consultation: Conduct thorough reviews of relevant academic literature in psychology, education and technology, human-computer interaction, and AI ethics.

Engage with internal and external experts to gather diverse perspectives and inform guideline development.

Requirements

In order to set you up for success as a Senior Psychologist for Model Policy Research at Google DeepMind, we look for the following skills and experience:

• A PhD in Psychology (Clinical, Developmental, Social, Cognitive), Education and Technology, or related fields.
• Significant research experience and publications on Human-AI interaction in one or more of the following areas: affective science, cognitive science, child development, adolescent psychology, attachment theory, social-emotional learning, or other relevant areas of applied psychology.
• Extensive prior experience working in a leading industry position.
• A strong understanding of ethical principles and considerations relevant to psychological research and the application of psychological principles in technology.
• Demonstrated ability to learn quickly and contribute effectively to new and varied subjects outside of core expertise.
• Excellent research, analytical, and problem-solving skills, with the ability to critically evaluate complex information.
• Strong written and verbal communication skills, with the ability to explain complex psychological concepts clearly and concisely to both technical and non-technical audiences.
• Ability to collaborate effectively within interdisciplinary teams and contribute to a fast-paced environment.
• A proactive and independent approach to identifying and addressing potential challenges and exploring novel research questions.
• Experience with ethical considerations in technology development and familiarity with AI concepts and technologies.
• Experience in applied research settings or translating academic knowledge into practical guidelines or applications.
• Experience in engaging with cross-functional teams.
• Technical proficiency and an in-depth understanding of the end-to-end AI development process and model lifecycles.

Salary

The US base salary range for this full-time position is between $174,000 - $258,000 + bonus + equity + benefits.

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Research Scientist, Information Quality

Job Description

This role requires a passion for advancing information literacy through AI & machine learning, focusing on assessing media trustworthiness (images, audio, and video) and exploring concepts like authenticity, provenance, and context.

Key responsibilities include formulating metrics, simulations, rapid prototyping of ML techniques, exploratory data analysis, collaborating with product teams to drive research, and developing tools and frameworks to accelerate research. A public example of research work is Backstory.

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.

The Role

To 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 conduct cutting-edge research and advance the next generation of multimodal AI assistants that help co-investigation and deliberation.

Relevant domains may include, but are not limited to, determining media authenticity, context discovery, and open source intelligence investigations. A public example of recent work is Backstory.

Key responsibilities:

• Drive the projects by defining key research questions.
• Design, implement, and evaluate experiments to provide clear answers
• Contribute to real world impact, by landing your research in Google products and services.
• Publish research findings in top academic conferences and journals
• Stay up-to-date with the latest advancements in the field
• Collaborate with internal and external scientific domain experts.

About You

In order to set you up for success as a Research Scientist at Google DeepMind, we look for the following skills and experience:

• PhD in Computer Science, Statistics, or a related field.
• Strong publication record in top machine learning and/or computer vision conferences or journals (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV).
• Expertise in one or more of the following areas: social impact of AI, reinforcement learning, multimodal agents, computer vision, natural language understanding.

In addition, the following would be an advantage:

• Passion for research on societal benefits and implications of the internet and AI with focus in information literacy.
• Experience with training, evaluating, and interpreting large language models.
• Experience working with large and noisy datasets.
• Experience collaborating across fields.
• Proven ability to design and execute independent research projects.

When assessing technical background we will take a holistic view of the mix of scientific, ML and computational experience. We do not expect you to be an expert in all fields simultaneously. 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.

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.

Application deadline: April 28th, 2026

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Your 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.

To 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.

In 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.

The US base salary range for this full-time position is between $178,000 USD - $265,000 + bonus + equity + benefits.

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Key Responsibilities: Define and implement the look and feel of Gemini App through motion design. Provide patterns, best practices, and guidance on animation and transitions for different devices and platforms. Create high-quality design proposals and drive projects from concept to iterations and implementation.

Minimum Qualifications: Bachelor's degree or equivalent practical experience. 6 years of motion design experience in product design, UX design, or UX/UI animation. Motion design experience related to physics, patterns, and visual design elements.

Preferred Qualifications: Master's degree in Design, Human-Computer Interaction, Computer Science, or a related field, or equivalent practical experience. 3 years of experience working in a complex, cross-functional organization. 2 years of experience leading design projects.

The US base salary range for this full-time position is between $159,000 USD - 231,000 + bonus + equity + benefits.

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Your passion for design and obsession with craft and quality are infectious, and your creative perspective is informed by a deep awareness of cultural, aesthetic, and artistic trends.

The Growth & Discovery Lead is responsible for the "First Mile" of the user journey. Your mission is to solve the "blank page" problem,ensuring that every user who downloads the Gemini app immediately discovers its value and integrates it into their daily life through intuitive onboarding and feature education.

Key responsibilities:

• Onboarding Excellence: Own the end-to-end mobile onboarding flow. You will ruthlessly eliminate friction, ensuring users reach their first "Aha!" moment within seconds of installation.
• Discovery Engine Design: Create contextual UI "hooks" and educational prompts that teach users how to harness Gemini’s unique mobile features, such as "Live" voice and camera-based reasoning.
• Data-Informed Iteration: Partner with Growth Marketing to run high-velocity A/B tests on app entry points, home-screen widgets, and subscription conversions.
• Viral Growth Loops: Design product-led growth mechanisms that make Gemini content easily shareable, driving organic adoption and network effects.

About You

In order to set you up for success, 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.
• 10+ years in Product Design with a specialized focus on Growth, PLG, or User Acquisition.
• Mastery of behavioral psychology and using data to inform high-craft design decisions.
• Demonstrated ability to influence executive stakeholders and 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 breadth of knowledge that enables ideation and development of creative solutions.

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In this role, you will sit at the critical intersection of technology, media, and public policy. Your job is to translate our technical breakthroughs, national partnerships, policy positions and corporate initiatives into clear, compelling narratives that drive trust in Google DeepMind amongst key opinion formers.

Key responsibilities:

Strategic Narrative & Advocacy

• Develop and execute proactive communications strategies that advance Google DeepMind’s corporate reputation and policy goals.
• Translate complex technical concepts into accessible language for policymakers, civic society, academics and industry experts.
• Lead communication campaigns that help ready governments and key opinion formers around the world for AI and AGI advancements, as well as highlight how our technologies are being used for public benefit in areas including science, education, safety and security.

Media Relations & Stakeholder Engagement

• Build and maintain deep relationships with top-tier policy and tech journalists primarily in the UK and US.
• Collaborate closely with Google Communications teams around the world, sharing plans and consulting with central / local comms teams to develop media engagement plans that serve Google and GDM’s objectives. Ensure a unified voice on global AI policy matters.
• Act as a trusted advisor to senior executives and policy specialists, prepare them for high-stakes interviews across broadcast and digital, speaking opportunities including high profile industry events, as well as government testimonies.
• Manage reactive communications and crisis response for sensitive policy issues, working quickly to correct misinformation and articulate the company’s principles.

Cross-Functional Collaboration

• Partner closely with the Public Policy, Public Engagement, Education, Legal, Safety & Responsibility and Executive Communications teams to align external messaging with internal priorities, progress and corporate strategy.
• Collaborate with Google GCPA teams.
• Draft high-quality written materials, including op-eds, blog posts, press releases, briefing documents and social media material.

About You

In order to set you up for success at Google DeepMind, we look for the following skills and experience:

Minimum Qualifications

• Bachelor’s degree or equivalent practical experience.
• 8+ years of experience in corporate communications, public affairs, or media relations, with a specific focus on AI, broader technology policy, or regulated industries.
• Proven track record of managing high-profile media relations and crisis communications in a fast-paced environment.
• Demonstrable experience translating dense technical or regulatory information into clear, persuasive narratives.

Preferred Qualifications

• Experience working in-house at a leading technology company, AI research lab, or within a government/regulatory body.
• Deep understanding of the current global AI policy landscape (e.g., EU AI Act, AI Safety Summit Series, US Executive Orders).
• Existing network of relationships with key policy and tech reporters in London, and/or Washington D.C.

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As a People Experience & Delivery Partner, you will work in close partnership with the P&C Partnering team and Centres of Excellence to provide responsive day-to-day P&C support and generalist advice to Leaders and Managers.

Your responsibilities will include providing dynamic and responsive coaching and advice on policies, processes, and best practices related to key P&C topics, executing and delivering P&C initiatives, projects, and cyclical processes, and conducting analysis on relevant data to inform decisions.

To succeed in this role, you will need subject matter expertise in HR principles, policies, and best practices, strong written and verbal communication skills, and the ability to build strong relationships with employees and managers at all levels.

In addition, experience in working with global teams, designing and delivering training programs, and using data to drive HR decisions would be an advantage.

At Google DeepMind, we value diversity of experience, knowledge, backgrounds, and perspectives and harness these qualities to create extraordinary impact.

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Our internal events play a key role in helping to shape and amplify Google DeepMind's culture, enabling collaboration and celebrating key moments for the organisation at an important stage of our journey.

As an Events Manager, you will be embedded in the GenAI Unit and will focus on events and experiences for this groundbreaking team whose mission is to build state of the art models and accelerate intelligent experiences across Google's platforms and products.

You will partner with teams across Google DeepMind and Google to deliver a variety of events across the globe including Town Halls, Summits, hackathons, offsites and celebrations to drive collaboration, knowledge sharing and connection at scale.

Key responsibilities include owning and strategically developing the full suite of GenAI Unit events programs, responding nimbly to briefs from stakeholders to create event experiences in support of specific objectives, adapting and innovating in an ever-changing environment, and managing end to end event delivery and execution of large scale events.

To set you up for success as an Events Manager at Google DeepMind, we look for the following skills and experience:

• Exceptional attention to detail
• Exceptional end to end project management skills and proven experience managing high complexity events through the full lifecycle
• Ability to throttle and navigate change and ambiguity in a very fast paced and demanding environment
• Natural problem solving skills with a wildly creative, innovative, and curious approach to the work
• Ability to simultaneously manage multiple events at different stages and meet all deadlines
• Excellent relationship building skills
• Interest or experience in science and innovative technology, including in the field of artificial intelligence research or deployment of machine learning systems
• Minimum 8 years of experience in events leadership at the scales and scopes mentioned
• Ability and curiosity to use AI tools practically and effectively in your work, with a recognition and awareness of AI's responsible use, risks, and limitations

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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.

The Role

In this role, you'll work with a team of elite researchers and engineers to design and implement post-training strategies that enhance Gemini’s capabilities in code security analysis. You will bring contributions to our ML innovation, post-training refinement (SFT/RLHF), advanced evaluation, and data generation to ensure our models can reliably perform safe and powerful code security analysis.

Key responsibilities:

• Design and Implement advanced post-training algorithms (SFT, RLHF, RLAIF) to optimize Gemini for code security tasks and secure coding practices.

• Diagnose and interpret training outcomes (regressions in coding ability, gains in security reasoning), and propose solutions to improve model capabilities.

• Actively monitor and evolve the system's performance through metric design.

• Develop reliable automated evaluation pipelines for code security that are strongly correlated with human security expert judgment.

• Construct complex benchmarks to probe the limits of the model’s ability to reason about control flow, memory safety, and software weakness.

About You

We are seeking individuals who excel in fast-pacing environments and are eager to contribute to the advancement of AI. We highly value the ability to invent novel solutions to complex problems, embracing a can-do and fail-fast mindset. We are looking for someone who genuinely believes in the future of AI and is committed to devoting their energy in this field.

In order to set you up for success as a Research Engineer at Google DeepMind, we look for the following skills and experience:

• BSc, MSc or PhD/DPhil degree in computer science, stats, machine learning or similar experience working in industry

• Deep understanding of statistics is strongly preferred

• Experiences in fine-tuning and adaptation of LLMs (e.g. advanced prompting, supervised fine-tuning, RLHF)

• Strong knowledge of systems design and data structures

• Proven experience with TensorFlow, JAX, PyTorch, or similar leading deep learning frameworks

• Recent experience conducting applied research to improve the quality and training/serving efficiency of large transformer-based models

• A passion for Artificial Intelligence.

• Excellent communication skills and proven interpersonal skills, with a track record of effective collaboration with cross-functional teams

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We're looking for a Research Scientist to join our Science unit, where you'll be at the forefront of applying generative AI to predict the structure and properties of complex matter.

As a Research Scientist, you'll design and train advanced AI models to model the structure and properties of complex physical systems, develop a deep understanding of scientific domains, and collaborate with other scientists and engineers to shape the research roadmap.

Key responsibilities include designing and executing robust ML experiments, accumulating small improvements, and sharing results through clear verbal and written communication.

To succeed in this role, you'll need a PhD or equivalent experience in computer science, computational chemistry, materials science, physics, or a related field, with fluency in generative models and transformers.

Experience with modern deep learning frameworks and a record of high-impact published work at the intersection of AI and natural science are also advantageous.

Applications close on Monday 20th April at 5pm BST.

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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.

Key responsibilities include partnering closely with data collection teams, research teams, and the Engineering team to establish and govern internal data collection efforts, ensure seamless delivery of new evaluations and data collections, and oversee design and implementation of new environments for data collection or robot platform modifications.

You will also monitor and report on operational efficiency and resource utilization metrics, evaluate and improve processes, tools, templates, and documentation for repeatability and sustainability, and implement processes and methodologies to reduce operational costs.

To succeed in this role, you 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 of 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:

• Robotics domain knowledge and experience.
• Master's degree in a relevant field (Robotics/AI).
• Experience managing operational teams.
• Experience in a technical lab or production environment.

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We're hiring a Staff Model UX Designer to play a critical role in our Personalization initiatives. You'll be responsible for developing and implementing content and model behavior standards, architecting scalable frameworks and processes.

Responsibilities

Set the quality bar by creating principles, response strategies, and examples that define what good looks like. Establish comprehensive content standards and specifications for Gemini models, addressing factors like factual accuracy, privacy, safety, personality, tone, and style.

Drive continuous model improvement by diagnosing quality gaps and developing scalable, strategic frameworks,including guidelines, technical instructions, and cross-functional alignment,needed to scale response excellence.

Partner closely with cross-functional teams, including engineers, product managers, researchers, and data scientists to shape the behavior of LLM models in support of growth strategies.

Understand users and advocate for a user-centered approach to model output, ensuring that the content the model generates meets the needs and expectations of our users.

Deeply understand model training methods and processes, and stay up-to-date on the latest advancements in generative AI.

About You

We’re looking for a systems thinker with strong skills in content strategy, conversation design, and problem-solving, anchored by a passion for the craft of writing. You’ll have experience developing guidelines, exemplary content, evaluations, and rubrics for LLMs, as well as writing and editing in a fast-paced, agile environment.

Leveraging complex cross-functional partnerships, you’ll work with product, engineering, research, and data science to articulate and guide product strategy.

To set you up for success as a UX Content Designer at Google DeepMind, we look for the following skills and experience:

• Demonstrated Strategic Impact & Leadership: Experience shaping content for strategic initiatives in relevant areas, such as hardware, software, digital agencies, creative industries, or journalism.

• Mastery of Writing Craft & Execution: A portfolio of work demonstrating intuitive, systems-aware content solutions with exceptional craft and strong rigor. Recognized as a "go-to" expert, sharing knowledge and elevating team skill.

• Adaptability: Thrives in complexity, continuously learning and adapting with a growth mindset. Evolves strategies and processes as needed.

• Fluency in AI product design process: Experience training and tuning large language models or other generative AI technologies. Experience gathering and working with data to identify loss patterns and create actionable insights

In addition, the following would be an advantage:

• Growth and discovery expertise: experience in driving successful growth and discovery initiatives for digital products.

• AI Prototyping: ability to build functioning prototypes to demonstrate ideas and drive cross-functional alignment.

Salary

The US base salary range for this full-time position is between $165,000 USD - $245,000 USD + bonus + equity + benefits.

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Research Engineer, Information Quality

Summary

At 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.

Responsibilities

To 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.

Key responsibilities:

• Plan and perform rapid prototyping of machine learning techniques applied to determining authenticity of media information.
• Undertake exploratory analysis to inform experimentation and research directions.
• Engage with product teams to drive the development of our research.
• Implement tools, libraries, and frameworks to speed up and enable new research.
• Report and present research findings, software developments, experimental results, and data analysis clearly and efficiently.
• Collaborate with internal and external scientific domain experts.

Requirements

In order to set you up for success as a Research Engineer at Google DeepMind, we look for the following skills and experience:

• Master’s degree in Computer Science, Electrical Engineering, Science, or Mathematics, or equivalent experience.
• Applied experience with machine learning, preferably modern deep learning techniques (e.g., Transformers, Diffusion, LLMs).
• Programming experience.
• Quantitative skills in math and statistics.
• Experience exploring, analysing and visualising data.

Preferred Qualifications

In addition, the following would be an advantage:

• Experience in multimodal learning, including the training and deployment of large-scale models.
• Experience developing AI agents.
• Experience with Large Language Models, prompt engineering, few-shot learning, post-training techniques, and evaluations.
• A proven track record of research or engineering achievements, such as publications in peer-reviewed conferences or journals.

Benefits

The US base salary range for this full-time position is between $174,000 USD - $252,000 USD + bonus + equity + benefits.

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You will act as a central leader, coordinating across vast cross-functional domains to drive cutting-edge model capabilities from research to global production.

Key responsibilities include:

Strategic Leadership: Architect, scope, and lead complex technical programs for model development at an organizational level, defining best practices for delivering frontier research to production.

Organizational Alignment: Direct and align vast cross-functional organizations working on personal intelligence to advance the state of the art research in this domain. Act as a trusted advisor to senior executive leadership.

Risk & Strategy Management: Proactively identify and resolve systemic risks, dependencies, and changing circumstances across multiple product surfaces, implementing scalable, long-term solutions.

Technical Problem Solving: Apply deep technical intuition to identify and execute pragmatic solutions, directly unblocking novel modeling techniques and resolving high-level technical architecture disputes.

Process Excellence: Define program management methodologies and governance models for the broader organization, driving operational excellence across multiple teams and product areas.

We look for the following skills and experience:

Experience: 12+ years of experience leading organizational-level technical programs, with a strong track record of successful program delivery at massive scale.

Technical Foundation: Expert-level technical background, with deep AI knowledge and extensive experience in the development of foundational models and their integration into global products.

Communication & Collaboration: Exceptional executive presence and stakeholder management skills, paired with meticulous organization and attention to detail. You excel at building trust, navigating complex organizational dynamics, and synthesizing highly complex technical strategies to act as a trusted advisor to executive leadership.

Leadership & Ownership: Exceptional leadership capabilities, with a proven ability to take full ownership of sweeping organizational initiatives, drive cross-PA alignment, and overhaul governance models across vast engineering and research teams.

Adaptability: Proven ability to navigate highly ambiguous, ever-evolving environments, demonstrating leadership and resourcefulness in resolving systemic challenges.

AI Passion & Practical Application: Passionate about AGI and deeply curious about emerging technologies. You are a hands-on practitioner who actively utilizes the latest AI tools, agents, and coding assistants to accelerate workflows and drive operational excellence.

The US base salary range for this full-time position is between $240,000 USD - $334,000 USD + bonus + equity + benefits.

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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).

Key Responsibilities

• Advance multimodal human representations & 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

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 & 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.

Salary

The US base salary range for this full-time position is between $174,000 USD - $252,000 USD + bonus + equity + benefits.

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Key responsibilities include:

• Post-training/instruction tuning state-of-the-art language models, focusing on text-to-text, image/video/audio-to-text modalities and agentic capabilities
• Exploring data, reasoning, and algorithmic solutions to ensure Gemini models are safe and work for everyone
• Improving Gemini's adversarial robustness, with a focus on high-stakes abuse risks
• Designing and maintaining high-quality evaluation protocols to assess model behaviour gaps and headroom related to safety and fairness
• Developing and executing experimental plans to address known gaps or construct entirely new capabilities

To 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.

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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.

Key responsibilities include: Investigating and driving clarity on some of Google's hardest long range strategic questions in AI Creating new and partner with existing virtual teams across Google to create comprehensive product and policy plans that stand the test of time Modeling scenarios and various tradeoffs to create opinionated strategies for maximizing AI value and optimizing AI investments across Google Creating SVP+ forum content (presentations, communications, mandates) Helping develop a per-mandate monitoring view to keep programs accountable Collaborating 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. Staying connected across Google to maintain a living catalog of ongoing experiments & proposed innovations that may become worthy of discussion at NRC Identifying gaps in our processes and information and proposing/implementing solutions.

To 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. 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.

To set you up for success as a Product Manager at DeepMind, we look for the following skills and experience: A BA/BS degree in Computer Science/EE or equivalent practical experience in a technical and/or business area 15+ 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. Exceptional organizational talent running high velocity, high impact, strategic programs Stellar verbal and written communication; past experience with SVP/VP+ level audiences Extensive experience in product operations and business strategy Strong analytics, strategy, and data fluency experience Experience in a role that deals with machine learning and/or compute Innovative problem solver that can turn ambiguous problem spaces into clear solutions Ability 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

In addition, the following would be an advantage: Familiarity with the role of compute and data in building LLMs and the capabilities of these models Strong 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 5+ years of product strategy work experience in managing highly-complex, technically-challenging projects spanning a wide set of stakeholders A quantitative and analytical mentality to understand Google PA and external user needs Experience navigating sensitive organizational dynamics Collaborating within data-driven or quantitative-focused teams A consistent record of creative problem solving and a bias towards action Outstanding business judgment Outstanding organizational, prioritization, and multitasking skills. Excellent communication skills A proven track record of building positive relationships with senior stakeholders and influencing strong personalities within a complex business environment Experience in corporate planning Ability to manage multiple concurrent complex interactions with geographically disparate teams Past people management experience; Experience in hiring and leading teams, including distributed teams

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

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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We are seeking a highly motivated and innovative Research Scientist to join our team in Bangalore, focused on advancing the state-of-the-art in autonomous agents through reinforcement learning and ML optimization methods.

As a Research Scientist at Google DeepMind, you will conduct cutting-edge research on large language models (LLMs), focusing on the development of more capable, robust autonomous agents.

Key Responsibilities:

• Design, implement and evaluate models, agents and software prototypes of large foundational models.
• Push the boundary of state of the art RL methods and machine learning optimization methods to build autonomous agents.
• Report and present research findings and developments including status and results clearly and efficiently both internally and externally, verbally and in writing.
• Suggest and engage in team collaborations to meet ambitious research goals.
• Work with external collaborators and maintain relationships with relevant research labs and key individuals as appropriate.
• Work in collaboration with our Responsible AI teams to ensure our advances in intelligence are developed ethically and provide broad benefits to humanity.

About You:

• You are a passionate and talented researcher with a strong foundation and a proven ability to conduct impactful research in AI.
• You have a collaborative mindset and are excited to work as part of a team to tackle ambitious research challenges.
• You are passionate about seeing your research translated into real-world products that improve the lives of users and are eager to work in an environment where research has a direct path to product impact.

Requirements:

• PhD in Computer Science, Artificial Intelligence, or a related field.
• Strong publication record in top-tier machine learning conferences or journals.
• Solid understanding of deep learning, natural language processing, computer vision, and/or speech processing.
• Experience with relevant ML frameworks such as JAX, TensorFlow, or PyTorch.

Preferred Qualifications:

• Experience with multimodal learning, large language models, and/or assistive AI agents.
• Experience with prompt engineering, few-shot learning, post-training techniques, and evaluations.
• Familiarity with large-scale model training and deployment.
• Strong programming skills in Python or similar languages.
• Excellent communication and collaboration skills.

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To succeed in this role, you will need a PhD in a technical field or equivalent practical experience, knowledge of the latest in large machine learning research, and experience working with real-world robots. Expertise in using large datasets with deep neural networks to make real robots useful is also an advantage.

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Your key responsibilities will include:

Designing, implementing, and maintaining robust and reliable systems and workflows for generating large-scale synthetic and real datasets of power grid optimization problems.

Designing and implementing rigorous unit, integration, and system tests to ensure the reliability, accuracy, and maintained performance of our models and software, with a focus on data pipelines.

Maintaining and contributing to our machine learning codebase, ensuring efficient data structures and seamless integration with our power system models and optimization solvers.

Ensuring the codebase supports ongoing experimentation, while simultaneously increasing scalability, robustness, and reliability via improved integration testing and performance benchmarking.

Working closely and collaboratively with a team of engineers, research scientists, and product managers to deliver real-world impact.

To be successful in this role, you will need:

A Bachelor's degree in Computer Science, Software Engineering, or equivalent practical experience.

Excellent proficiency in C++, Python, or Jax.

Demonstrated experience developing or utilizing solutions for robustness or quality assurance within software and/or ML systems.

Experience processing, generating, and analyzing large-scale data, e.g. for ML applications.

Proven ability to discuss technical ideas effectively and collaborate in interdisciplinary teams.

Motivated by the prospect of real-world impact and focused on excellence in software development.

Preferred qualifications include experience with Google's technical stack and/or Google Cloud Platform (GCP), familiarity with modern hardware accelerators (GPU / TPU), experience with modern ML training frameworks, such as Jax, and experience in developing software in a translational research or production setting.

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As a Tech Strategy Product Manager, you will conduct rigorous, deep-dive investigations into Google's hardest long-range strategic questions, providing data-driven clarity needed for executive decision-making. You will model complex scenarios and trade-offs to surface opinionated strategies for maximizing AI value across Google.

Key responsibilities include:

• Investigative Modeling: Conducting deep-dive investigations into Google's hardest long-range strategic questions, providing data-driven clarity needed for executive decision-making.
• Scenario Architecture: Modelling complex scenarios and trade-offs to surface opinionated strategies for maximizing AI value across Google.
• SVP+ Content Support: Contributing to the development of high-stakes presentations, communications, and mandates for SVP-level forums, ensuring technical accuracy and narrative flow.
• Cross-Functional Partnership: Acting as a bridge between technical teams and strategy, partnering with virtual teams across Google to ensure product and policy plans are grounded in reality.
• Execution & Monitoring: Helping maintain per-mandate monitoring views to keep programs accountable; collaborating with MLSA to ensure company-wide mandates are organized and delivering on goals.
• Strategic Cataloging: Maintaining a 'living catalog' of ongoing experiments and proposed innovations across Google to identify topics worthy of senior executive discussion.

This role is for you if you demonstrate the analytical rigor and strategic curiosity required to sustain a high level of performance across complex, pan-Google workstreams,pairing a 'big picture' perspective with the ability to remain precise and detail-oriented at the speed of an SVP-led forum.

You should have a BA/BS degree or equivalent practical experience in a technical and/or business area, with 5+ years of experience in product management, management consulting, or a high-growth corporate strategy role. Exceptional organisational talent and experience running high-velocity, high-impact programs are also essential.

In addition, familiarity with the role of compute and data in building LLMs and the technical capabilities of these models would be an advantage.

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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.

We are seeking an experienced and innovative Staff AI Product Designer for the Gemini App device team to architect “first-of-their-kind” AI interactions for the Home platform. Operating at the intersection of frontier LLMs and hardware, you will design conversational experiences with agentic behaviors for far-field devices. You will collaborate with engineers and research scientists to move beyond traditional screens, creating intuitive, hands-free, and visually rich solutions that serve as intelligent assistants. This role requires a self-starter comfortable navigating the rapidly evolving space of generative AI to define product-market fit for novel device experiences. You will lead the design process from concept to shipping, shaping the future of human-AI interaction by delivering seamless, contextual solutions that enrich users' lives in communal and shared home spaces.

Responsibilities:

This role requires a blend of creative problem-solving, strong leadership, AI proficiency, and a proven ability to translate complex user needs into impactful design solutions.

Design intuitive AI experiences: Design user interfaces and consumer experiences for Gemini, ensuring natural and efficient interaction within your specific product area.

Partner on product strategy: Collaborate with cross-functional teams and cross-organizations to align design efforts with product strategy and user goals, influencing decisions that drive positive user outcomes.

Innovate through user-centered design: Translate user needs, technical understanding, and business requirements into polished design solutions that amplify people’s capabilities and enrich their lives.

Utilize systems-thinking approach: Apply a systems-thinking approach to your design work, understanding the impact of individual components on the overall AI-powered experience, optimized for AI's probabilistic nature.

Craft visually polished interfaces: Create high-fidelity visual designs, encompassing layouts, typography, color palettes, and iconography, that are aesthetically pleasing, highly usable, and consistent with the broader design system.

Bridge design and technology: Leverage technical understanding to use system instructions and diverse prototyping methods, simulating model responses to inform design requirements.

Apply design innovation: Stay current on the latest design trends in consumer technology and generative AI, applying these best practices to create exceptional experiences.

Design for ethical and societal impact: Consider the interplay of AI models, ethical considerations, and societal impacts to advocate for responsible solutions within your project scope.

Minimum Qualifications:

10+ years of experience designing user interfaces for complex software applications, with specific experience in designing for conversational AI/LLMs.

A robust portfolio showcasing fluency in visual, interaction, and systems design, with examples of work related to AI-powered interfaces or complex consumer applications.

Proficiency in designing user-centric experiences for unconventional hardware devices, with a strong understanding of physical interactions, multi-device complexities, and contextual awareness.

Demonstrated expertise in designing intuitive interactions for AI-driven products.

Experience collaborating with large cross-functional teams through ideation, validation, and iteration processes, helping transform abstract ideas into shippable products.

Familiarity with behavioral data and capability to create data-driven designs, while being equally capable of moving forward in the absence of data.

Excellent communication and collaboration skills with the ability to articulate design rationale and build alignment with partners.

Strong presentation and storytelling capabilities with the ability to communicate effectively to stakeholders.

A systems thinker with a passion for creating user-centered design solutions and an ability to design experiences that are ethical and accessible.

Demonstrated experience thriving in a startup environment, comfortable with the ambiguity and iteration required to deliver impactful designs.

Proficiency in design tools such as Figma, Sketch, Adobe Creative Suite, and Principle.

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The successful candidate will be the designated TL and lead the technical implementation of the GeminiApp web application, with a focus on the visual response rendering that is used across all the GeminiApp teams. They will lead a team of engineers spanning from the web client to the backend services.

Key responsibilities include:

• Architectural excellence: building bullet-proof web frameworks that are used by the team internally and externally to interface with XXXM+ DAU
• UI/UX innovation: collaborating closely with UX, PM, and other cross-functional partners to evolve GeminiApp into a natively AI-driven application
• Technical leadership: directing the day-to-day execution of a high-tempo engineering team, unblocking complex technical challenges and ensuring the timely launch of performant, high-quality features
• Strategic cross-functional alignment: serving as the primary technical partner for Product, UX, and Backend teams, influencing server-side infrastructure and translating ambiguous product goals into actionable technical strategies

To succeed in this role, the ideal candidate will have:

• Proven experience as a technical lead with a track record of leading high-performing web-application engineering teams
• Extensive professional experience and expert-level proficiency in web applications/mobile mobile development, with a history of shipping complex, user-facing applications at scale
• Experience leading the delivery of large-scale technical projects, defining team roadmaps, and making critical architectural decisions in collaboration with product and UX partners
• A passion for developing engineers, with direct experience in mentoring and career growth development
• Excellent collaboration and communication skills, capable of representing the team and driving alignment with senior leadership and non-technical stakeholders

Preferred qualifications include:

• Experience with Websockets/Real Time Applications
• Demonstrated Javascript/Typescript expertise
• Familiarity with LLM systems and AI integrations into consumer applications
• Experimentation Frameworks

The US base salary range for this full-time position is between $197,000 - $291,000 + bonus + equity + benefits.

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In this 'touch and go' role, you'll provide expert administrative support during their initial 3+ months, directly contributing to their successful integration. This is an ideal role for someone who enjoys a fast-paced, flexible environment and excels at supporting senior leaders across various teams and areas.

As an Administrative Business Partner, you'll perform a wide range of E/ABP tasks on a rotating basis, including managing complex calendars, booking travel, creating expense reports, organizing events, and scheduling facilities and equipment.

You'll also seamlessly onboard/ramp-up and offboard new executives, adjusting and pivoting as needed to meet evolving needs. Additionally, you'll provide meeting support by circulating agendas, capturing notes, and ensuring action items are followed up on.

To be successful in this role, you'll need to be highly organised, able to manage priorities well, and juggle multiple deadlines and tasks efficiently. You'll also need to be proactive, a self-starter, and a naturally strong problem-solver, able to anticipate what needs to be done without guidance.

You'll work closely with executive leaders and partners, establishing trust and making decisions on their behalf using excellent judgment and discretion. You'll also develop strong working relationships with each leader by thinking ahead, handling priorities, anticipating needs and future challenges, and proposing solutions to enable effective decision-making.

If you're passionate about supporting and enabling others, motivated by leader support, and have a keen interest in continuing to develop your career in supporting and enabling others, then this could be the perfect opportunity for you.

The US base salary range for this position is between $96,000 USD - $138,000 USD + bonus + benefits.

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You will have the freedom to rethink how we deliver these processes in partnership with the Reward and Recognition Client Enablement lead, as well as leading a global team of three Reward & Recognition partners and collaborating closely with the Heads of Reward in North America and EMEA. This is a unique opportunity to innovate compensation effectiveness in a fast-paced environment with unique talent challenges.

Key responsibilities include:

• Team Leadership: Mentor and manage a team of three Specialists, ensuring alignment with strategic goals.
• Ops focus: Drive forward how Reward 'works' scalably/efficiently/and in an error-free way via programs, processes, tooling, and data. Land key cyclical compensation planning programs.
• Reporting & Data: Enhance and strengthen Reward's reporting capabilities, enabling strategic and proactive decision making and stronger insights.
• Strategic Frameworks: Develop and oversee compensation and recognition frameworks for the full Google DeepMind organisational structure.
• Advisory: Influence and support senior leaders and cross-functional partners with sound, data-backed advice on unique reward challenges.
• Optimisation: Continuously evaluate the efficiency of compensation programs, innovating to improve the return on our total rewards investment.
• Strategy: Embody a compensation strategy that ensures competitiveness, particularly in high-demand segments like the AI talent market.

To succeed in this role, you will need:

• 6+ years of experience in compensation.
• People Management: You have demonstrated experience managing a Reward team, preferably within a global and/or tech environment.
• Operational Excellence: You have a history of holding end-to-end responsibility for complex Reward programs and driving them to successful outcomes.
• Data & Ambiguity: You can assimilate ambiguous information from varied sources to provide meaningful insights using Google sheets (or equivalent), SQL or other database tools and AI-enabled tools.
• Communication: You possess excellent communication skills and the ability to build trust and influence senior leaders.
• AI First: You have strong AI fluency and take an AI First approach to your core work.
• Fast-paced environment: You enjoy the energy of a fast-paced team and can manage multiple workstreams without compromising attention to detail.

The US base salary range for this full-time position is between $147,000 - $218,000 + bonus + benefits.

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At Google DeepMind, we've built a unique culture and work environment where long-term ambitious research can flourish. Our special interdisciplinary team combines the best techniques from deep learning, reinforcement learning, and systems neuroscience to build general-purpose learning algorithms.

Research Scientists lead our efforts in developing novel tools, infrastructure, and algorithms towards the end goal of solving and building Artificial General Intelligence.

unparalleled opportunities to work with a talented team of researchers and engineers.

Drawing on expertise from a variety of disciplines including deep learning, computer vision, language modeling, and advanced generative architectures, our Research Scientists are at the forefront of groundbreaking research.

Responsibilities:

• Design, rapidly implement, and rigorously evaluate cutting-edge deep learning algorithms and data curation for multimodal generative AI, with a particular emphasis on culturally-adapted image and video synthesis.
• Report and present research findings and developments clearly and efficiently both internally and externally, verbally and in writing.
• Suggest and engage in team collaborations to meet ambitious research goals, while also driving significant individual contributions.
• Work in collaboration with our Ethics and Governance teams to ensure our advances in intelligence are developed ethically and provide broad benefits to humanity.

Requirements:

• PhD in Computer Science, Artificial Intelligence, Machine Learning, Computer Vision, or equivalent practical experience.
• 2+ years of relevant experience in deep learning research and development, particularly in generative AI and related to image and video synthesis. This includes diffusion models and autoregressive generative models.
• Experience in software development with one or more programming languages (e.g., Python) and deep learning frameworks (e.g., Jax, TensorFlow, PyTorch), with a track record of building high-quality research prototypes and systems.

Preferred Qualifications:

• Demonstrated experience in large-scale training of multimodal generative models.
• A track record of research or engineering achievements, including publications in peer-reviewed conferences or journals.

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Responsibilities: Research on post-training (e.g., RL and SFT) for information-seeking scenarios in Gemini Research on novel evaluation methods for improving model quality, grounding, and factuality Research on orchestration of tool calls, and improved retrieval methods, for information-seeking scenarios

About You: To succeed in this role, you should have a PhD in a relevant area, or an equivalent research/publication record. You should also have strong software-engineering skills in addition to a research background. Experience in reinforcement learning, post-training methods, and LLMs for information-seeking scenarios is an advantage.

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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.

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.

The Integrated Assistance team contributes towards this mission by making Gemini a personalized universal assistant that is natively present across devices and apps.

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.

Responsibilities:

• 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.
• 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.
• 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.
• 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.
• Craft visually compelling interfaces: Create high-fidelity visual designs, encompassing layouts, typography, color palettes, and iconography, that are aesthetically pleasing and highly usable.
• 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.
• Bridge design and technology: Leverage technical understanding to use system instructions and diverse prototyping methods, simulating model responses to inform design requirements and approaches.
• 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.
• Design for ethical and societal impact: Consider the intricate interplay of AI models, user interface, ethical considerations, and societal impacts to develop responsible solutions.

Minimum Qualifications:

• Bachelor's degree in Design, Human-Computer Interaction, or a related field.
• 7+ years of experience designing user interfaces for complex software applications, with specific experience designing for conversational AI / LLMs.
• 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.
• 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.
• Demonstrated expertise in designing intuitive and engaging interactions for AI-driven products.
• Demonstrated expertise in guiding cross-functional teams through ideation, validation, and iteration processes, transforming abstract ideas into shippable product.
• Familiarity with behavioral data and strong capability to create data-driven designs, while being equally capable of moving forward in the absence of data.
• Proficiency in design tools such as Figma, Sketch, Adobe Creative Suite, and Principle.
• Excellent communication and collaboration skills with the ability to listen, articulate positions, and challenge partners with new product design thinking.
• Mastery in presentation and storytelling capabilities with the ability to communicate effectively to leadership and cross company teams.
• 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.
• 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.

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You will be the key owner of the interface powering the Gemini machine learning models responses and how it is presented to the user. As a horizontal team, you will build bullet-proof web frameworks that are used by our team internally and externally to interface with XXXM+ DAU.

Collaborating closely with UX, PM, and other cross-functional partners, you will serve as a thought leader in the evolution of GeminiApp into a natively AI-driven application, effectively bridging the gap between imaginative vision and technical feasibility.

Direct the day-to-day execution of a high-tempo engineering team, unblocking complex technical challenges and ensuring the timely launch of performant, high-quality features.

Serve as the primary technical partner for Product, UX, and Backend teams, influencing server-side infrastructure and translating ambiguous product goals into actionable technical strategies.

In order to set you up for success as a Staff Engineer at Google DeepMind, we look for the following skills and experience:

Proven experience as a technical lead with a track record of leading high-performing web-application engineering teams.

Extensive professional experience and expert-level proficiency in web applications/mobile mobile development, with a history of shipping complex, user-facing applications at scale.

Experience leading the delivery of large-scale technical projects, defining team roadmaps, and making critical architectural decisions in collaboration with product and UX partners.

A passion for developing engineers, with direct experience in mentoring and career growth development.

Excellent collaboration and communication skills, capable of representing the team and driving alignment with senior leadership and non-technical stakeholders.

The US base salary range for this full-time position is between $197,000 - $291,000 + bonus + equity + benefits.

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We're seeking a highly experienced, self-starting, and innovative Senior AI Product Designer to join the Gemini App 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.

Responsibilities:

• 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.
• Key contributor to product strategy: Collaborate with Product and Engineering to define product strategy and influence key cross-functional decisions that drive positive user outcomes.
• 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.
• 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.
• Craft visually compelling interfaces: Create high-fidelity visual designs, encompassing layouts, typography, color palettes, and iconography, that are aesthetically pleasing and highly usable.
• 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.
• Bridge design and technology: Leverage technical understanding to use system instructions and diverse prototyping methods, simulating model responses to inform design requirements and approaches.
• 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.
• Design for ethical and societal impact: Consider the intricate interplay of AI models, user interface, ethical considerations, and societal impacts to develop responsible solutions.

Minimum Qualifications:

• Bachelor's degree in Design, Human-Computer Interaction, or a related field.
• 7+ years of experience designing user interfaces for complex software applications, with specific experience designing for conversational AI / LLMs.
• 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.
• 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.
• Demonstrated expertise in designing intuitive and engaging interactions for AI-driven products.
• Demonstrated expertise in guiding cross-functional teams through ideation, validation, and iteration processes, transforming abstract ideas into shippable product.
• Familiarity with behavioral data and strong capability to create data-driven designs, while being equally capable of moving forward in the absence of data.
• Proficiency in design tools such as Figma, Sketch, Adobe Creative Suite, and Principle.
• Excellent communication and collaboration skills with the ability to listen, articulate positions, and challenge partners with new product design thinking.
• Mastery in presentation and storytelling capabilities with the ability to communicate effectively to leadership and cross company teams.
• 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.
• 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.

Preferred Qualifications:

• Demonstrated ability to foster divergent design thinking and translate complex AI concepts into user-centered product visions.
• Proven experience in shepherding radical ideas that leverage AI to create truly transformative product experiences.
• Experience prototyping interactive experiences using tools like Figma, ProtoPie, or Framer.
• Experience with front-end development technologies (HTML, CSS, JavaScript).
• Experience driving product impact through close collaboration with user research, including expertise in user research methodologies for AI product evaluation.
• Experience mentoring more junior teammates, but note this is not a manager role.

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You will lead product vision and champion the developer experience, designing intuitive, scalable workflows that balance ease-of-access with research-grade quality. You will also scale the ecosystem by launching strategic features, integrations, and partnerships that meet developers where they are, expanding Kaggle's reach and influence across the global AI community.

In addition, you will productize the frontier by identifying emergent AI evaluation trends and novel paradigms, translating them into scalable platform features that act as a 'north star' for the industry. You will drive internal and external impact by partnering cross-functionally with Google teams and external frontier labs to ensure Kaggle's aggregate signals directly inform and accelerate foundation model development.

You will also build sustainable systems and business models by addressing complex platform scaling challenges, such as implementing flexible compute options to support compute-heavy agentic evaluation workloads.

To be successful in this role, you will need 7+ years of product management experience, with a proven track record of successfully shipping and scaling complex, highly technical software products. You will also need deep domain expertise in the modern AI ecosystem, with a hands-on, opinionated understanding of LLMs, agentic frameworks, and current methodologies for model benchmarking and evaluation.

You will be comfortable with ambiguity and able to define product direction in a fast-moving, novel space. You will also have a strong existing network or previous experience working directly with top-tier AI labs, research organizations, or open-source AI communities.

The US base salary range for this full-time position is between $192,000 USD - $278,000 USD + bonus + equity + benefits.

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At Google DeepMind, we've built a unique culture and work environment where long-term ambitious research can flourish. We are a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence.

The role requires a blend of deep technical expertise, strategic thinking, and strong leadership. You will lead a multi-disciplinary team to evolve the software side of our hw-sw co-design project.

Responsibilities:

• Closely collaborate with our hardware team to define and drive strategy for next-generation machine learning accelerators.
• Manage relationships and technical execution across a virtual team that spans both Google and outside partners.
• Drive the team to deliver high-quality aligned to tight schedules.

Minimum Qualifications:

• Bachelor's degree in Electrical Engineering, Computer Science, or equivalent practical experience.
• 10+ years of experience in ASIC design and development.
• 3+ years of Management Experience
• Proven track record of technical leadership and successfully delivering complex silicon projects (tape-outs) to production.
• Deep expertise in at least one core silicon discipline (e.g., RTL, PD, DV) and strong familiarity with the entire ASIC flow.
• Experience with managing silicon vendors and other external partners.

Preferred Qualifications:

• Master's or Ph.D. in a related field.
• Experience leading and managing teams across the full silicon development cycle, from RTL to bringup.
• Experience with high-performance compute IPs (e.g., GPUs, ML accelerators).
• Knowledge of high-performance and low-power architectures for ML acceleration.
• Excellent communication, and leadership skills.

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The main purpose of the Communications Data & Insights role is to be responsible for the gathering, organising and analysing data from all relevant internal and external data sources to enable the marcomms department to make data-driven decisions resulting in improved performance and impact.

As Communications Insights & Measurements Analyst, you will analyse, build and implement a range of insight, research tools and activities to ensure that the team and wider organisation has the knowledge it needs to put our priority audiences at the heart of everything we do.

The role is very hands-on, and will require a can-do attitude and confidence to take on new challenges. It is a great opportunity for someone who would like to grow their responsibilities and have various research programmes/projects, and a broad scope of work.

You will be working on a variety of small to large-scale projects. This will include using a suite of media monitoring and social listening tools, tracking information, analytics tools, creating dashboards, reports, and other useful resources for the team, to support in guiding our marcomms strategy and helping the team deliver impact.

Key Responsibilities:

• Analyse marcomms channel metrics, including website and social media stats and benchmarks, media mentions and headlines, and executive social media and media engagements.
• Update, maintain and develop team self-serve dashboards to support issue identification and decision making.
• Monitor and analyse the media landscape, including impact and engagement tracking of key voices.
• Social media monitoring and analysis for key moments and launches.
• Support with monthly team performance and channel reports and learnings, with actionable insights and tailored overviews and presentations with team members and stakeholders.
• Support with Internal Communications measurements, including channel and impact analysis, metrics and KPIs, and audience segmentation.
• Analyse and measure Executive Communications, Engagements and Social Media, including channel, audience and impact analysis.
• Analyse website user behaviour, and user journeys through from the Google DeepMind site to various sites, platforms and tools - identifying trends and pain points which can then be improved to deliver a best customer experience across all digital touchpoints.
• Support with delivering reports following Google DeepMind launches and competitor moments to help stakeholders understand external reactions, impact and sentiment, vs prev launches and competitor moments.
• Support with analysis of competitor moments, including key details and external reactions.
• Support with maintenance of team Insight repository.
• Recommend and Implement new performance measures and metrics for short-term and long-term communications efforts, and coordinate the reporting and analysis work across the marketing and communications organisation.
• Maintain and update our channel benchmarks (overall and per strategy area) to ensure the team can accurately compare campaigns and moments.
• Partner and work with external and internal stakeholders to collaborate, share learnings and implement best measurement practices.

About You:

• To set you up for success as a Communications Data and Insights Manager at Google DeepMind, we look for the following skills and experience:

• Proven experience working in a similar Communications or Marketing Data, Insight analytics type role.

• Experience using AI tools to support with work efficiencies and optimisation - including building out custom prompts, Gemini Gems, Notebooks and other AI support tools and agents.

• Strategic, analytical, and have strong communication skills, as well as being able to relay technical information/data/results.

• Extensive experience working with Google Analytics, Brandwatch (social listening), Google Search Console, YouTube Analytics, Looker Studio for reporting / dashboarding etc.

• Experience working with PR/Comms Reporting tools such as NewsWhip.

• Strong numerical and analytical skills are crucial.

• Able to combine and interpret high volumes of data from multiple sources.

• Able to synthesise information from a variety of sources, add insightful commentary and translate data / trends into practical recommendations and stories to improve performance.

• Strong writing and storytelling skills are crucial, prior experience in marketing is useful.

• Excellent spoken, written and visual communications skills, including the ability to visualise data in simple, concise, clear and impactful ways.

• Strong project management skills and experience in creating insight dashboards (if not the experience, the potential to learn quickly).

• Commitment to learning about new insight tools.

• Confidence to work and collaborate with a range of stakeholders.

• Hands-on social listening experience, audience analysis or data/statistical analysis, preferably with exposure to audience insights and social media research.

• You work well both independently and as a part of team.

• Strong ability to manage yourself and time, working effectively across multiple priorities.

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At Google DeepMind, we've built a unique culture and work environment where long-term ambitious research can flourish. Our special interdisciplinary team combines the best techniques from deep learning, reinforcement learning, and systems neuroscience to build general-purpose learning algorithms.

Research Scientists lead our efforts in developing novel tools, infrastructure, and algorithms towards the end goal of solving and building Artificial General Intelligence.

Having pioneered research in the world's leading academic and industrial labs, PhDs, post-docs, or professorships, Research Scientists join Google DeepMind to work collaboratively within and across Research fields. They are expected to work with teams on large scale AI, and develop solutions to fundamental questions in machine learning and AI.

Drawing on expertise from a variety of disciplines including deep learning, computer vision, language modeling, and advanced generative architectures, our Research Scientists are at the forefront of groundbreaking research.

Responsibilities

• Design, rapidly implement, and rigorously evaluate cutting-edge deep learning algorithms and data curation for multimodal generative AI, with a particular emphasis on culturally-adapted image and video synthesis.
• Report and present research findings and developments clearly and efficiently both internally and externally, verbally and in writing.
• Suggest and engage in team collaborations to meet ambitious research goals, while also driving significant individual contributions.
• Work in collaboration with our Ethics and Governance teams to ensure our advances in intelligence are developed ethically and provide broad benefits to humanity.

Minimum Qualifications

• PhD in Computer Science, Artificial Intelligence, Machine Learning, Computer Vision, or equivalent practical experience.
• 2+ years of relevant experience in deep learning research and development, particularly in generative AI and related to image and video synthesis. This includes diffusion models and autoregressive generative models.
• Experience in software development with one or more programming languages (e.g., Python) and deep learning frameworks (e.g., Jax, TensorFlow, PyTorch), with a track record of building high-quality research prototypes and systems.

Preferred Qualifications

• Demonstrated experience in large-scale training of multimodal generative models.
• A track record of research or engineering achievements, including publications in peer-reviewed conferences or journals.

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The team is dedicated to expanding Gemini's reach into high-potential sectors, including Education, Health, and Small Businesses, by building capabilities that address the unique workflows of these users.

In this full-stack role, you will work on building high-quality, domain-specific experiences within Gemini App. We are looking for candidates who have a passion and a strong track record of developing novel technologies, systematically experimenting and evaluating them and iterating rapidly.

Key responsibilities include demonstrating technical leadership in building innovative features for the target users, leading the full-stack implementation, from front-end, back-end, to the model, to deliver high-quality products, collaborating with researchers to understand cutting-edge innovation in generative AI, and applying it to the app, conducting in-depth data analysis to identify headroom for the feature, and developing a strategy to design and implement solutions to improve the quality.

To succeed in this role, you will need a Bachelor's or Master's degree in computer science or a related technical field, 10+ years of experience with software development in one or more programming languages, and with data structures/algorithms, 5+ years of experience with full-stack development, across back-end such as Java, Python, GO, or C++ codebases, and front-end experience including JavaScript or TypeScript, Angular, HTML, CSS, etc., hands-on experience with prompt engineering and post-training techniques for large language models, including data pipeline and evaluation methodologies, excellent problem-solving and analytical skills, and strong communication and teamwork abilities.

The US base salary range for this full-time position is between $166,000 - $244,000 + bonus + equity + benefits.

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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.

We are seeking an experienced and innovative Staff AI Product Designer for the Gemini App device team to architect “first-of-their-kind” AI interactions for the Home platform. Operating at the intersection of frontier LLMs and hardware, you will design conversational experiences with agentic behaviors for far-field devices. You will collaborate with engineers and research scientists to move beyond traditional screens, creating intuitive, hands-free, and visually rich solutions that serve as intelligent assistants. This role requires a self-starter comfortable navigating the rapidly evolving space of generative AI to define product-market fit for novel device experiences. You will lead the design process from concept to shipping, shaping the future of human-AI interaction by delivering seamless, contextual solutions that enrich users' lives in communal and shared home spaces.

Responsibilities:

This role requires a blend of creative problem-solving, strong leadership, AI proficiency, and a proven ability to translate complex user needs into impactful design solutions.

Design intuitive AI experiences: Design user interfaces and consumer experiences for Gemini, ensuring natural and efficient interaction within your specific product area.

Partner on product strategy: Collaborate with cross-functional teams and cross-organizations to align design efforts with product strategy and user goals, influencing decisions that drive positive user outcomes.

Innovate through user-centered design: Translate user needs, technical understanding, and business requirements into polished design solutions that amplify people’s capabilities and enrich their lives.

Utilize systems-thinking approach: Apply a systems-thinking approach to your design work, understanding the impact of individual components on the overall AI-powered experience, optimized for AI's probabilistic nature.

Craft visually polished interfaces: Create high-fidelity visual designs, encompassing layouts, typography, color palettes, and iconography, that are aesthetically pleasing, highly usable, and consistent with the broader design system.

Bridge design and technology: Leverage technical understanding to use system instructions and diverse prototyping methods, simulating model responses to inform design requirements.

Apply design innovation: Stay current on the latest design trends in consumer technology and generative AI, applying these best practices to create exceptional experiences.

Design for ethical and societal impact: Consider the interplay of AI models, ethical considerations, and societal impacts to advocate for responsible solutions within your project scope.

Minimum Qualifications:

10+ years of experience designing user interfaces for complex software applications, with specific experience in designing for conversational AI/LLMs.

A robust portfolio showcasing fluency in visual, interaction, and systems design, with examples of work related to AI-powered interfaces or complex consumer applications.

Proficiency in designing user-centric experiences for unconventional hardware devices, with a strong understanding of physical interactions, multi-device complexities, and contextual awareness.

Demonstrated expertise in designing intuitive interactions for AI-driven products.

Experience collaborating with large cross-functional teams through ideation, validation, and iteration processes, helping transform abstract ideas into shippable products.

Familiarity with behavioral data and capability to create data-driven designs, while being equally capable of moving forward in the absence of data.

Excellent communication and collaboration skills with the ability to articulate design rationale and build alignment with partners.

Strong presentation and storytelling capabilities with the ability to communicate effectively to stakeholders.

A systems thinker with a passion for creating user-centered design solutions and an ability to design experiences that are ethical and accessible.

Demonstrated experience thriving in a startup environment, comfortable with the ambiguity and iteration required to deliver impactful designs.

Proficiency in design tools such as Figma, Sketch, Adobe Creative Suite, and Principle.

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Responsibilities:

• Partner with Verticals PM, engineering, and UX to develop data-driven product strategies
• Translate ambiguous questions into well-defined problems, design experiments, and analyse large complex datasets for insights
• Develop and implement novel, goal-oriented metrics
• Build and deploy statistical/ML models to understand our users, enhance product capabilities and personalise user experience
• Communicate findings & recommendations to stakeholders, including executives
• Champion data-driven culture by feeding user engagement insights back into models
• Collaborate with the GenAI team on model quality and feature adoption
• Act as a technical leader for a global team, guiding junior members on complex analyses and upholding best practices to ensure high-quality, impactful work

Requirements:

• Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field
• 5 years of experience with analysis applications (e.g., extracting insights, performing statistical analysis, or solving business problems), and coding (e.g., Python, R, SQL) or 2 years of experience with a Master's degree
• 2 years of work experience identifying opportunities for business/product improvement and then defining/measuring the success of those initiatives
• A bias for action and a relentless drive to build something great
• Strong business acumen and a strategic mindset
• Deep technical expertise
• Exceptional communication and presentation skills
• A collaborative and influential partner
• A commitment to user trust and privacy

Preferred qualifications include a Master's degree in a relevant field and experience working with machine learning and statistical modelling tools.

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Key responsibilities include pioneering novel computer vision models to create a unified understanding of agriculture from diverse satellite data sources, solving core AI problems by developing generalizable models that are robust across varied agricultural systems, leading research toward the grand challenge of field-level crop yield forecasting, designing and executing large-scale experiments, writing high-quality, reusable code, and contributing to a production-ready system.

You will also mentor junior researchers, collaborate with cross-functional teams across Google, and publish your work at top-tier conferences.

We are looking for a passionate and talented researcher with a strong foundation and a proven ability to conduct impactful research in AI. You should have a PhD or equivalent practical research experience in Computer Science, AI, or a related field with a focus on computer vision and/or machine learning, a strong publication record in top-tier AI conferences, hands-on experience building and training deep learning models in frameworks such as JAX, TensorFlow, or PyTorch, and demonstrated expertise in one or more of the following: generative models, segmentation algorithms, multi-modal fusion, spatio-temporal analysis.

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This is more than a typical program management role. You will be the operational heartbeat of a world-class design, research, and content team working on a flagship, first-of-its-kind product. You will create the systems, drive the strategy, and foster the culture that enables our UX team to do their best work at a pace that matches our ambition.

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.

As a Senior UX Program Manager, you will be the connective tissue for the Gemini App UX team. You will partner with senior leaders to drive user focus, streamline operations, and elevate the quality of our user experience.

Your core responsibilities will include:

• Architect and Scale Operations: Design, implement, and refine the repeatable processes and frameworks that enable our UX team to deliver bold, high-quality work at lightning speed.
• Drive Cross Functional Alignment: Serve as the central point of contact for UX, orchestrating alignment on priorities, roadmaps, and resource allocation with key partners in Product, Engineering, Research, and Trust & Safety.
• Lead Resource and Capacity Planning: Partner with UX discipline leads to forecast, plan, and allocate team capacity, ensuring we are always focused on the most critical user and business goals.
• Eliminate Blockers and Gaps: Proactively identify and resolve bottlenecks in our processes, tools, and cross-functional communication, empowering the team to focus on impactful design and research.
• Champion Team Health and Culture: Foster a positive, collaborative, and inclusive team culture through well-planned strategic off-sites, workshops, and communication initiatives.
• Own High-Impact Programs: Demonstrate deep ownership in scoping, planning, and delivering complex programs that elevate our UX craft, workflow, and the quality of the end-to-end user experience.

We are looking for a seasoned leader with a passion for user experience, a proven track record of operational excellence, and a relentless curiosity to understand the emerging ways people use generative AI.

Minimum Qualifications:

• Bachelor’s degree or equivalent practical experience.
• 8+ years of experience in Program Management within a UX, design, or product development organization.
• Deep experience working directly with and understanding the needs of UX disciplines (e.g., Interaction Design, UX Research, Content Strategy, UX Engineering).

Preferred Qualifications:

• 10+ years of experience leading complex strategic and operational initiatives for large-scale product teams.
• A proven track record of building and scaling UX operations in a fast-paced, ambiguous, and rapidly evolving environment (such as a startup or a v1 product).
• Mastery of resource planning, and project and data management, with an ability to turn insights into actionable strategies.
• Exceptional communication and interpersonal skills, with the ability to partner effectively with senior leaders and cross-functional teams.
• Experience in environments focused on AI, machine learning, or other emerging technologies is a significant plus.

If you're ready to build the operational backbone for one of the world's most important AI products, we encourage you to apply.

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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.

As a Research Scientist at Google DeepMind, you will join a team working to supercharge exploration, assessment, and steering of evolving AI behaviours, 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 behaviours.

Key responsibilities include generating new ideas, executing cutting-edge ideas, communicating research findings, collaborating with other researchers, and driving technical projects.

To be successful in this role, you will need a PhD degree in Computer Science, Machine Learning, or a related technical field, a strong publication record in top machine learning conferences, and demonstrated hands-on experience in developing multimodal AI models and systems.

In addition, experience with large-scale vision language models, fine-tuning and post-training LLMs using RL, and developing agentic AI solutions to complex problems would be an advantage.

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As a Chemist in the Responsible Development & Innovation (ReDI) team at Google DeepMind, you will be a principal architect of the safety protocols governing the intersection of Large Language Models (LLMs) and the chemical sciences. You will design and execute rigorous safety evaluations and inform mitigation strategies that ensure our frontier models accelerate scientific discovery without compromising global security.

This role is pivotal in deciding when and how our most advanced AI systems are released to the world.

You will apply your knowledge of chemistry to devise evaluation methodologies (e.g. red-teaming, knowledge elicitation studies, etc.) and contribute to building and running these evaluations on new models. You will analyse the results from evaluations, communicate them clearly to advise and inform decision-makers on the safety of our AI systems, and use them to refine our harm frameworks and inform our mitigation strategies.

In this role, you will work closely with other Subject-Matter Experts (SMEs) in the chemical, biological, radiological and nuclear domains, Research Engineers and Research Scientists focused on developing AI systems, as well as experts in AI ethics and policy.

Key Responsibilities:

• Architect of Safety Evaluations: Build rigorous, scalable frameworks to evaluate model proficiency in overcoming key bottlenecks in CWA precursor acquisition, chemical synthesis, and weaponisation.
• Strategic Advisory: Analyse evaluation results to brief executive decision-makers on model safety, directly influencing deployment 'Go/No-Go' decisions.
• Harm Framework Innovation: Refine our internal safety taxonomies to account for emergent risks at the intersection of general AI and specialist models like AlphaFold.
• Collaborative Mitigation: Partner with Research Engineers to revise mitigation strategies and refine harm frameworks for identified chemical risks. Work with other SMEs in the chemical, biological, radiological, nuclear, and conventional explosive domains to build a unified defence against CBRNE-related risks.
• External Engagement: Stay abreast of global chemical security trends and international non-proliferation policy through engagement with external international, governmental, and non-governmental organisations.

About You:

You are a seasoned scientist who bridges the gap between laboratory chemistry and emerging technology. You are motivated by the challenge of defending complex systems and possess the critical mindset required to anticipate non-obvious misuse scenarios.

Minimum Qualifications:

• Chemistry Expertise: PhD in synthetic organic chemistry with at least two years post-doctoral or equivalent experience.
• Publication Record: Proven experience publishing as a first author in high-impact general science or chemistry-specific journals, and presenting work at international chemistry conferences. Classified or internal reporting experience will be considered in lieu of public records for candidates from roles in national security.
• Security Domain Expertise: Comprehensive understanding of the Chemical Weapons Convention (CWC) and other national and international CWA agreements/treaties, chemical defence protocols, and the landscape of dual-use research in the chemical domain.
• Systems Thinking: The ability to translate high-level chemical risks into technical requirements for AI safety.
• Communication Excellence: A proven ability in distilling complex technical findings into clear, actionable advice for non-specialist stakeholders.

Preferred Experience:

• Knowledge of CWA defence, including synthesis, detection, and countermeasures.
• Direct experience with CBRNE mitigation, non-proliferation, or relevant international security stakeholders.
• Familiarity with the machine learning lifecycle and AI Safety Frameworks.
• Experience using and/or developing computational chemistry tools (e.g., AlphaFold, retrosynthesis engines, etc.).
• Working knowledge of the Frontier Safety Framework (FSF), Critical Capability Levels (CCLs), and similar documents published by other leading AI labs.
• Understanding of Google DeepMind AI research output (e.g., AlphaFold, GNoME, WeatherNext, etc.), and AI products (e.g., Gemini, Nano Banana, Genie, etc.).
• Passion for the ethical deployment of frontier technologies and AI policy.

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This role requires a blend of program management expertise, technical acumen, and strong communication skills to manage releases, coordinate with various teams, and support our growing user base.

Key Responsibilities:

• Drive end-to-end launch processes for product launches, including working across cross-functional stakeholders to manage new features both across Google and externally, overseeing release management, and managing serving capacity to ensure smooth rollouts.
• Lead collaborations with teams across Google to develop new features and integrate into our products. Build effective working relationships, guiding alignment on project goals, managing interdependencies, and ensuring clear communication and risk management.
• Strategize and implement programs to increase product adoption across Google and externally, supporting and nurturing our users, crafting and disseminating broader communications, including user-facing documentation.
• Drive creation of product dashboards to track key metrics and report on progress, understanding evolving user needs from both Google teams and externally for individuals/enterprises.

About You:

In order to set you up for success as a Technical Program Manager at Google DeepMind, we look for the following skills and experience:

• Bachelor's degree in a technical field or equivalent practical experience.
• 5 years of experience in program or project management in a technical software environment.
• Experience managing product launches and working through the full software development lifecycle.
• Strong analytical skills and experience with data analysis.

Preferred Qualifications:

• 8+ years of relevant work experience in a technical environment.
• Experience launching internal and external-facing developer products at scale to individuals as well as businesses and enterprises and promoting adoption within a large organization.
• Strong understanding of release management processes and best practices.
• Proven ability to lead complex projects with cross-team stakeholders, influencing and leading without managerial authority.
• Excellent interpersonal and communication skills, with a demonstrated ability to work effectively across organizational boundaries engaging senior leadership.

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Research includes, but is not limited to, general-purpose algorithms that leverage Large Language Model (LLMs) for efficient search and exploration, LLM fine-tuning with Reinforcement Learning, and open-ended tasks for large-scale AI-powered empirical research.

Responsibilities:

• Design, implement, and evaluate models, agents, and software prototypes of large foundational models.
• Push the boundary of state-of-the-art RL methods and machine learning optimization methods to build autonomous scientific discovery systems.
• Report and present research findings and developments, including status and results, clearly and efficiently both internally and externally, verbally and in writing.
• Suggest and engage in team collaborations to meet ambitious research goals.
• Work with external collaborators and maintain relationships with relevant research labs and key individuals as appropriate.
• Work in collaboration with our Responsible AI teams to ensure our advances in intelligence are developed ethically and provide broad benefits to humanity.

About you:

• PhD in Computer Science, Artificial Intelligence, or a related field.
• Strong publication record in top-tier machine learning conferences or journals.
• Solid understanding of deep learning, natural language processing, and/or reinforcement learning.
• Experience with Large Language Models, preferably in the context of code synthesis.
• Experience with relevant ML frameworks such as JAX, TensorFlow, or PyTorch.
• A real passion for AI!

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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.

This is a unique opportunity to join the GeminiApp team and contribute to shaping the future of the Gemini App. This role will require the following skills:

• Lead and drive progress on critical feature launches across the Gemini App ecosystem.
• Identify and manage cross-functional dependencies across teams and organizations.
• Partner with engineering and product leads to shape product direction and ensure successful execution.
• Drive engineering teams to identify, prioritize, and track tasks towards completion.
• Proactively identify risks, develop mitigation plans, and implement solutions.
• Communicate progress, risks, and plans to leadership regularly.
• Identify and implement process improvements to enhance team efficiency.
• Manage multiple time-sensitive projects concurrently.
• Foster a collaborative and inclusive team culture that values innovation and excellence.
• Advocate for the team's needs and ensure they have the resources and support to succeed.

In order to set you up for success as a Technical Program Manager at Google DeepMind, we look for the following skills and experience:

• Strong technical background with demonstrated expertise in machine learning and generative AI.
• Excellent program management and strategic planning skills to effectively drive projects forward.
• Exceptional communication and influencing skills, with the ability to build strong relationships and drive alignment among diverse stakeholders

The US base salary range for this full-time position is between $183,000 USD - 271,000 USD + bonus + equity + benefits.

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As a key member of the Talent Operations team, you will be responsible for analysing and manipulating data to develop executive-ready insights, dashboards, and narratives to support leadership decision-making. You will also create templates, processes, and frameworks that can be leveraged by the team in the future.

Your primary focus will be on improving our data analysis capabilities, particularly in the area of talent management. You will work closely with the P&C Analytics team to identify opportunities and recommend solutions to optimise our existing process operations, with a focus on efficiency and impact.

To succeed in this role, you will need to have strong analytical skills, structured thinking, and the ability to balance strategic priorities with hands-on execution in a fast-paced environment.

If you're a detail-oriented individual with a passion for data analysis and a desire to make a meaningful impact, we encourage you to apply for this exciting opportunity.

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We're a team of scientists, engineers, and machine learning experts working together to advance the state of the art in artificial intelligence. Our mission is to close the 'Agentic Launch Gap'; the critical window where novel AI capabilities outpace traditional security reviews.

As the Security Lead for the Agentic Red Team, you will direct a specialized unit of AI Researchers and Offensive Security Engineers focused on adversarial AI and agentic exploitation. Operating as a technical player-coach, you will architect complex, multi-turn attack scenarios while managing cross-functional partnerships with Product Area leads and Google security to influence launch criteria.

Key Responsibilities:

• Direct Agile Offensive Security: Lead a specialized red team focused on rapid, high-impact engagements targeting production-level AI models and systems.
• Perform Complex AI Exploitation: Develop and carry out advanced attack sequences that focus on vulnerabilities unique to GenAI, such as escalating privileges through tool usage, poisoning data, and executing multi-turn prompt injections.
• Design Automated Validation Systems: Collaborate with Google teams to engineer 'Auto RedTeaming' solutions that transform manual vulnerability discoveries into robust, automated regression testing frameworks.
• Engineer Technical Countermeasures: Create innovative defense-in-depth frameworks and control systems to mitigate agentic logic errors and non-deterministic model behaviors.
• Manage Threat Intelligence Assets: Develop and oversee an evolving inventory of exploit primitives and agent-specific attack patterns used to establish release criteria and evaluate model security benchmarks.
• Establish Security Scope: Collaborate with Google for conventional infrastructure protection, allowing the team to concentrate solely on agentic logic, model inference, and AI-centric exploits.

About You:

• Bachelor's degree in Computer Science, Information Security, or equivalent practical experience.
• Experience in Red Teaming, Offensive Security, or Adversarial Machine Learning.
• Deep technical understanding of LLM architectures and agentic workflows (e.g., chain-of-thought reasoning, tool usage).
• Proven ability to work in a consulting capacity with product teams, driving security improvements in fast-paced release cycles.
• Experience managing or technically leading small, high-performance engineering teams.

In addition, the following would be an advantage:

• Hands-on experience developing exploits for GenAI models (e.g., prompt injection, adversarial examples, training data extraction).
• Familiarity with AI safety benchmarks and evaluation frameworks.
• Experience writing code (Python, Go, or C++) to build automated security tools or fuzzers.
• Ability to communicate complex probabilistic risks to executive stakeholders and engineering teams effectively.

The US base salary range for this full-time position is between $248,000 - $349,000 + bonus + equity + benefits.

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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.

The Role

This is an opportunity to join the Gemini App team for devices, bringing Gemini to experiences on XR glasses, smartwatches, cars, headphones, and more! You'll define and lead the product vision for how users interact with AI across a diverse and rapidly expanding ecosystem of hardware, strategically integrating cutting-edge AI capabilities directly into users' daily lives.

Responsibilities

• Define and champion a clear product vision, roadmap, and strategic plan for extending LLM capabilities via tools, effectively integrating emerging AI technologies and ensuring alignment with organisational mission and evolving user needs
• Develop and prioritise product requirements by synthesising user feedback, UX research, rigorous AI model performance metrics, market trends, and competitive analysis, proactively clarifying ambiguities specific to AI's evolving nature and generating insights from complex AI model behaviours to deliver impactful product improvements
• Lead and influence cross-functional teams (Engineering, Research, UX, Legal, etc.) to design, implement, and launch innovative features, effectively bridging AI's technical complexity with organisational goals and user needs through clear communication and strategic narratives
• Own and drive masterful go-to-market strategies for new AI features and products, including strategic positioning, market understanding, and impactful messaging to ensure successful launch and sustained market relevance in a rapidly paced AI landscape
• Maintain deep technical expertise in advanced AI (including LLMs, Diffusion Models, RAG), intuitively understanding and predicting emerging model capabilities. Drive rapid prototyping cycles, gathering targeted user feedback to iteratively refine AI products and swiftly respond to technical breakthroughs
• Lead innovative product development amidst foundational uncertainty, enabling swift strategic pivots and responsive decision-making in response to rapidly changing AI and market conditions, ensuring continuous progress and clear direction

Requirements

• Bachelor's degree or equivalent practical experience
• 10 years of experience in product management or related technical role
• 5 years of experience taking technical products from conception to launch
• Demonstrable, extensive technical knowledge and hands-on product experience with advanced AI technologies, including Large Language Models (LLMs), and ideally familiarity with concepts like Diffusion Models or Retrieval-Augmented Generation (RAG)
• Proven ability to intuitively understand and predict emerging AI model capabilities and engage in credible, informed collaborations with highly technical teams
• Proven experience in designing, managing, and continuously refining rigorous evaluation methods and success metrics for AI models and AI-powered products, converting performance insights into impactful product enhancements
• Demonstrated ability to independently drive complex product initiatives forward in ambiguous and rapidly evolving AI contexts, proactively clarifying uncertainties, generating insights from model behaviours, and adapting strategies decisively
• Experience working cross-functionally with engineering, UX/UI, legal, marketing and other stakeholders to deliver successful products
• Proven ability to prepare and deliver compelling technical presentations to senior leadership, effectively communicating product vision and strategy

Preferred

• Strong aptitude for deeply understanding user perspectives for novel AI products, proactively identifying pain points, and translating nuanced user insights into refined and intuitive AI-powered user experiences
• Hands-on experience in software development or engineering, with a strong understanding of technical concepts and the ability to collaborate with development teams
• Demonstrated success in being a self-starter, and fostering a culture of innovation and driving exceptional results
• Experience in proactively identifying ethical risks in AI systems, familiarity with adversarial analysis, or a background in embedding safety protocols in AI product development

Benefits

• The US base salary range for this full-time position is between $183,000 - $271,000 + bonus + equity + benefits

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Our team is focused on ensuring safe humanoid robot actions spanning agentic reasoning, HRI scenarios, and physical safety with VLA models. As a Research Scientist, you will design, implement, train, and evaluate large models and algorithms for humanoid robots. You will make breakthroughs and unlock new humanoid safety capabilities, including algorithmic and model development to improve a robot agent's understanding of its own embodiment and VLA capabilities.

You will write software to implement research ideas and iterate quickly. You will leverage your expertise to participate in a wide variety of research, including learning from simulation, reinforcement learning, learning from demonstrations, vision-language-action models, transformers, video generation, robot control, humanoid robots, and more.

You will work effectively with a large collaborative team with fast-paced agendas to meet ambitious research goals. You will generate creative ideas, set up experiments, and test hypotheses. You will report and present research findings clearly and efficiently both internally and externally.

To be successful as a Research Scientist at Google DeepMind, we look for PhDs in technical fields or equivalent practical experience. You should have knowledge of the latest in large machine learning research and experience working with real-world robots. Expertise with a subset of the following topics would be an advantage: Humanoid Whole Body Control, Vision Language Action models, Motion Planning, Force Control, AI Safety, Diffusion Policies, World Models, Imitation Learning, and Reinforcement Learning.

The US base salary range for this full-time position is between $141,000 - $202,000 + bonus + equity + benefits.

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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.

Key Responsibilities

• Conduct rigorous, deep-dive investigations into Google's hardest long-range strategic questions, providing the data-driven clarity needed for executive decision-making.
• Model complex scenarios and trade-offs to surface opinionated strategies for maximizing AI value across Google.
• Contribute to the development of high-stakes presentations, communications, and mandates for SVP-level forums, ensuring technical accuracy and narrative flow.
• Act as a bridge between technical teams and strategy, partnering with virtual teams across Google to ensure product and policy plans are grounded in reality.
• Help maintain per-mandate monitoring views to keep programs accountable; collaborate with MLSA to ensure company-wide mandates are organized and delivering on goals.
• Maintain a 'living catalog' of ongoing experiments and proposed innovations across Google to identify topics worthy of senior executive discussion.

About You

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:

• You demonstrate the analytical rigor and strategic curiosity required to sustain a high level of performance across complex, pan-Google workstreams,pairing a 'big picture' perspective with the ability to remain precise and detail-oriented at the speed of an SVP-led forum.
• You are a master of execution,you don't just point at problems; you build the models (often joining together disparate data sources from multiple teams) and write the documents that solve them.
• You are an expert at synthesis, possessing the communication skills to distill complex 'noise' into actionable 'signal' for executive audiences, delivering elite-level work even under the most demanding deadlines.

Skills and Experience

• BA/BS degree or equivalent practical experience in a technical and/or business area.
• 5+ years of experience in product management, management consulting, or a high-growth corporate strategy role.
• Exceptional organizational talent and experience running high-velocity, high-impact programs.
• Strong analytical fluency: Deep experience in a role that deals with machine learning, compute infrastructure, or large-scale data modeling.
• Innovative problem solver who can turn ambiguous, messy problem spaces into clear, executable solutions.

In addition, the following would be an advantage:

• Familiarity with the role of compute and data in building LLMs and the technical capabilities of these models.
• A proven track record of 'managing up' and supporting senior stakeholders in a complex, matrixed business environment.
• Experience in corporate planning or product operations within a major tech ecosystem.
• Ability to manage multiple, concurrent, highly complex workstreams with minimal friction.
• A 'bias towards action' and a history of creative problem-solving in fast-paced settings.

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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.

The role will involve personally driving and amplifying impact through leading a team to investigate and drive clarity on some of Google's hardest long-range strategic questions in AI, creating new and partner with existing virtual teams across Google to create comprehensive product and policy plans that stand the test of time, modeling scenarios and various trade-offs to create opinionated strategies for maximizing AI value and optimizing AI investments across Google, and creating SVP+ forum content (presentations, communications, mandates).

To be successful in this role, you will need to 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. 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.

In order to set you up for success as a Product Manager at DeepMind, we look for the following skills and experience:

• BA/BS degree in Computer Science/EE or equivalent practical experience in a technical and/or business area
• 15+ 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.
• Exceptional organizational talent running high-velocity, high-impact, strategic programs
• Stellar verbal and written communication; past experience with SVP/VP+ level audiences
• Extensive experience in product operations and business strategy
• Strong analytics, strategy, and data fluency experience
• Experience in a role that deals with machine learning and/or compute
• Innovative problem solver that can turn ambiguous problem spaces into clear solutions
• Ability 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

In addition, the following would be an advantage:

• Familiarity with the role of compute and data in building LLMs and the capabilities of these models
• Strong 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
• 5+ years of product strategy work experience in managing highly-complex, technically-challenging projects spanning a wide set of stakeholders
• A quantitative and analytical mentality to understand Google PA and external user needs
• Experience navigating sensitive organizational dynamics
• Collaborating within data-driven or quantitative-focused teams
• A consistent record of creative problem solving and a bias towards action
• Outstanding business judgment
• Outstanding organizational, prioritization, and multitasking skills
• Excellent communication skills
• A proven track record of building positive relationships with senior stakeholders and influencing strong personalities within a complex business environment
• Experience in corporate planning
• Ability to manage multiple concurrent complex interactions with geographically disparate teams
• Past people management experience; Experience in hiring and leading teams, including distributed teams

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We're looking for a versatile Research Scientist to join our Gemini Safety team at Google DeepMind. As a Research Scientist, you will be responsible for applying and developing data and algorithmic cutting-edge solutions to advance the safety and fairness behavior of our latest user-facing models.

The Gemini Safety team is accountable for the safety and fairness behavior of GDM's latest Gemini models. Our team focuses on advancing the safety and fairness behavior of state-of-the-art AI models, driving the development of foundational technology adopted by numerous product areas, including Gemini App, Cloud API, and Search.

Key Responsibilities:

• Post-training/instruction tuning state-of-the-art LLMs, focusing on text-to-text, image/video/audio-to-text modalities and agentic capabilities
• Exploring data, reasoning, and algorithmic solutions to ensure Gemini Models are safe, maximally helpful, and work for everyone
• Improve Gemini's adversarial robustness, with a focus on high-stakes abuse risks
• Design and maintain high-quality evaluation protocols to assess model behavior gaps and headroom related to safety and fairness
• Develop and execute experimental plans to address known gaps, or construct entirely new capabilities
• Drive innovation and enhance understanding of Supervised Fine Tuning and Reinforcement Learning fine-tuning at scale

About You:

• PhD in Computer Science, a related field, or equivalent practical experience
• Significant LLM post-training experience
• Experience in Reward modeling and Reinforcement Learning for LLMs Instruction tuning
• Experience with Long-range Reinforcement learning
• Experience in areas such as Safety, Fairness, and Alignment
• Track record of publications at NeurIPS, ICLR, ICML, RL/DL, EMNLP, AAAI, UAI
• Experience taking research from concept to product
• Experience with collaborating or leading an applied research project
• Experience with JAX

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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The role of the Research Engineer will be to develop state-of-the-art methods for multimodal generative AI models, with a primary focus on image generation and editing. This role is for the team behind “Nano Banana”.

As a Research Engineer at Google DeepMind, you will lead our efforts in developing novel tools, infrastructure, and algorithms towards the end goal of solving and building Artificial General Intelligence. You will work collaboratively within and across Research fields, drawing on expertise from a variety of disciplines including deep learning, computer vision, language modeling, and advanced generative architectures.

Key responsibilities include designing, implementing, and evaluating cutting-edge deep learning algorithms, data curation, and evaluation infrastructure for multimodal generative AI, with a particular emphasis on image synthesis. You will report and present research findings and developments clearly and efficiently both internally and externally, verbally and in writing. You will also suggest and engage in team collaborations to meet ambitious research goals, while also driving significant individual contributions.

To succeed as a Research Engineer at Google DeepMind, we look for the following skills and experience:

• PhD in Computer Science, Artificial Intelligence, Machine Learning, Computer Vision, or equivalent practical experience.
• Proven experience in deep learning research and development, particularly in generative AI and related to image synthesis. This includes diffusion models and autoregressive generative models. Experience with post-training is a plus.
• Exceptional engineering skills in Python and deep learning frameworks (e.g., Jax, TensorFlow, PyTorch), with a track record of building high-quality research prototypes and systems.
• Strong publication record at top-tier machine learning, computer vision, and graphics conferences (e.g., NeurIPS, ICLR, ICML, SIGGRAPH, CVPR, ICCV).

In addition, the following would be an advantage:

• Demonstrated experience in multimodal generative modeling, especially combining large language models with visual generation (e.g., text-to-image/video systems, joint autoregressive and diffusion models).
• A keen eye for visual aesthetics and detail, coupled with a passion for creating high-quality, visually compelling generative content.
• A real passion for AI!

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You will work with HR professionals, engineers, data scientists, and leadership stakeholders to define project scope, goals, timelines, and resource requirements.

Key responsibilities:

• Work with your team to organise and optimise a portfolio of HR software & data projects, including migrations to new systems and applying new AI techniques to tools & data.
• Act as the system owner and domain expert for GDM's HR tooling & people data stack; understand how tools connect to each other, how they interact with Google systems, and how their data is used downstream.
• Develop, maintain, and improve reporting & dashboards based on HR system data
• Produce user guides, process documentation, and other forms of educational resources.
• Collaborate with teams across both GDM and Google to ensure that GDM's People & Culture priorities are effectively translated into delivery plans, and available resources are used on the most important problems
• Work with your team on all required elements of end-to-end project planning and delivery, using your knowledge of project methodologies including tools and techniques such as stand ups, retrospectives, agile boards, project plans etc
• Clarify, communicate, and drive decisions where tradeoffs are necessary between HR process priorities and HR tooling & data options.
• Effectively translate technical information to non-technical audiences, ensuring clarity and alignment
• Work effectively across international teams and various stakeholders.
• Track progress, maintain up to date information and relevant technical documentation, anticipate and propose solutions to issues and risks
• Troubleshoot and resolve technical challenges, making sound decisions that balance feasibility and project timelines.
• Critically evaluate technical proposals, understanding the trade-offs between different approaches, and weigh in on the viability of solutions
• Demonstrate a curious mindset and a commitment to learning and understanding your team's technical field, and your broader understanding of AI

Requirements:

• Passionate about AI & proactive about learning and acquiring knowledge to enhance your domain knowledge
• Strong technical understanding of HR tools & systems, including experience with platform migrations
• Thrive in collaborative environments, bridging the gap between engineers and stakeholders, ensuring everyone is working towards a shared vision
• Introductory understanding of SQL, dashboarding, and generating reports from raw data
• Comfortable in a fast-paced, ambiguous environment, taking ownership and driving projects independently
• Flexible, adaptable and highly responsive to the needs of the project, team and wider group
• Strong communication skills, ability to develop meaningful relationships with key stakeholders and leverage these to influence action and outcomes, ensuring alignment between technical teams and business stakeholders
• Natural problem-solver, readily identifying the root causes of technical challenges to implement elegant solutions
• Ability and curiosity to use AI tools practically and effectively in your work, with a recognition and awareness of AI's responsible use, risks, and limitations
• BS degree in Computer Science, Engineering, or related technical field
• Knowledge of Software Development Lifecycles
• Product Management experience (direct or partnering closely)

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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You will focus on process management and execution, ensuring our technical infrastructure initiatives run smoothly across global time zones while providing a structured framework for our engineering teams to succeed.

This is a high-impact Program Manager role with a strong focus on operations and program support within a mission-critical technical environment. You will be responsible for the program operations of our GenAI serving stack, bridging the gap between technical design and execution.

The role is dynamic and requires a leader who can thrive in an agile, fast-moving environment where priorities can shift quickly. You will manage critical workflows such as accelerating technical design reviews, enhancing cross-functional collaborations, and ensuring that the program's objectives are met with precision and efficiency.

Key responsibilities include defining and owning program charters, leading design reviews and technical steering discussion forums, partnering with engineers to resolve operational bottlenecks, and organizing program reviews and summits.

We are looking for a disciplined program leader who excels at bringing structure to complex environments and possesses the soft skills to influence stakeholders across different regions.

Requirements include proven experience as a Program Manager, experience working directly with engineers on large-scale infrastructure projects, and a demonstrated ability to create and implement process improvements.

Preferred qualifications include familiarity with software stacks, agile methodologies, and the AI/ML realm, specifically Gemini or similar LLM serving stacks, as well as experience working effectively with teams across multiple time zones.

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Research Scientist, Robotics

Role Details

We are looking for Research Scientists to join the Robotics team at Google DeepMind. The team's mission is to build 'Embodied AI' - a robot brain capable of whole-body, dexterous, general and useful physical actions - to improve the lives of billions of people in the physical world.

Key Responsibilities

• Design, implement, train and evaluate large models and algorithms for robotic agents.
• Write software to implement research ideas and iterate quickly.
• Leverage expertise to participate in a wide variety of research, including learning from simulation, reinforcement learning, learning from demonstrations, vision-language-action models, transformers, video generation, robot control, humanoid robots and more.
• Work effectively with a large collaborative team with fast-paced agendas to meet ambitious research goals.
• Generate creative ideas, set up experiments and test hypotheses. Report and present research findings clearly and efficiently both internally and externally.

Requirements

• PhD in a technical field or equivalent practical experience.
• Knowledge of the latest in large machine learning research.
• Experience working with simulators and real-world robots.
• Expertise in using large datasets with deep neural networks to make real robots useful.
• A real passion for AI impacting real world robots!

Benefits

The US base salary range for this full-time position is between $166,000 - $244,000 + bonus + equity + benefits.

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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.

Your primary focus is to deliver scalable, efficient, and error-free operational, programmatic, and technical solutions/services that enable and uphold GDM's competitive compensation strategies. Specifically, you'll drive forward Reward's reporting/data/insight capabilities that enable the broader team and organization to make effective and strategic reward decisions.

You will have the freedom to rethink how we deliver these processes in partnership with the Reward and Recognition Client Enablement lead, as well as leading a global team of three Reward & Recognition partners and collaborating closely with the Heads of Reward in North America and EMEA. This is a unique opportunity to innovate compensation effectiveness in a fast-paced environment with unique talent challenges.

Key responsibilities include:

• Team Leadership: Mentor and manage a team of three Specialists, ensuring alignment with strategic goals.
• Ops focus: Drive forward how Reward 'works' scalably, efficiently, and in an error-free way via programs, processes, tooling, and data. Land key cyclical compensation planning programs.
• Reporting & Data: Enhance and strengthen Reward's reporting capabilities, enabling strategic and proactive decision making and stronger insights.
• Strategic Frameworks: Develop and oversee compensation and recognition frameworks for the full Google DeepMind organizational structure.
• Advisory: Influence and support senior leaders and cross-functional partners with sound, data-backed advice on unique reward challenges.
• Optimization: Continuously evaluate the efficiency of compensation programs, innovating to improve the return on our total rewards investment.
• Strategy: Embody a compensation strategy that ensures competitiveness, particularly in high-demand segments like the AI talent market.

To succeed in this role, you will need 6+ years of experience in compensation, including people management, operational excellence, data analysis, and communication skills. Experience in a tech company or an environment with unique talent competition is an advantage.

The US base salary range for this full-time position is between $147,000 - $218,000 + bonus + benefits. Please note: the salary will be pro-rata'd for the duration of your contract.

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Key responsibilities for this role include:

• Driving research on post-training techniques (e.g., RL, SFT, and preference optimisation) specifically tailored for personalisation scenarios.
• Developing novel evaluation frameworks and simulation methods to measure model quality against user behaviours / feedback.
• Designing and training agents capable of orchestrating tools and APIs to deliver hyper-personalised experiences.

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.

To succeed in this role, you will need:

• A PhD in Machine Learning, Computer Science, or a relevant field (or equivalent practical research experience).
• A proven track record of research excellence (e.g., publications at top-tier venues like NeurIPS, ICML, ICLR, or significant industry contributions).
• Strong software engineering skills to complement your research background.

In addition, hands-on experience with modern post-training methods (SFT, RLHF, etc.) and prior work applying LLMs to personalisation, memory, or agentic workflows would be an advantage.

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 include enhanced maternity, paternity, adoption, and shared parental leave, private medical and dental insurance for yourself and any dependents, and flexible working options.

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About Us

DeepMind's RL team is a long-standing and tight-knit team of collaborative scientists and engineers, led by Tom Schaul. We tackle large scale research challenges in reinforcement learning. We design, refine, and scale RL algorithms and deliver meaningful scientific or product impact. Over the past decade, members of the RL team have been instrumental in building DQN, AlphaGo, Rainbow, AlphaZero, MuZero, AlphaStar, AlphaProof and Gemini.

The Role

As a Research Scientist, you'll use machine learning knowledge and technical know-how to innovate, drive research projects, as well as apply research to impactful problems. You will be expected to implement code, run experiments, own results end-to-end, communicate them internally or externally, as well as collaborate with and empower others.

Your work may involve:

• Initiating or pursuing novel research directions, by proposing and testing research hypotheses.
• Implementing algorithm ideas and run end-to-end experiments, including setup, execution, analysis, and iteration.
• Sharing your skills and knowledge with other researchers.
• Building or improving infrastructure for research at scale.
• Designing evaluations and ablations that answer real questions and change minds.
• Analyzing results carefully, including debugging and failure analysis.
• Communicating clearly through plots, writeups, and paper-ready narratives and figures.
• Contributing to a culture of first-principles thinking, high standards, and direct, constructive feedback.

Our projects span the full range of state-of-the-art machine learning and AI fields, including large language models, distributed machine learning techniques, and much more, but with an emphasis on reinforcement learning.

We take a holistic view of people's backgrounds, and do not expect you to be an expert in all areas. We do expect you to proactively and quickly adopt new technologies and systems, but we also invest a lot of time in training and helping people to continually learn as part of their role.

About You

In order to set you up for success as a Research Scientist at Google DeepMind, we look for the following skills and experience:

• A passion for reinforcement learning
• A research track record in RL, including peer-reviewed publications.
• Strong implementation ability and comfort working in research codebases.
• Evidence of owning experiments end-to-end, including analysis and interpretation.
• Strong communication skills and a bias toward clarity and honesty regarding results.
• High agency and drive: You push projects forward, prioritize effectively, and take initiative.
• PhD in ML preferred, or equivalent practical experience.

In addition, the following would be an advantage:

• Experience with RL for sequence models, post-training, preference-based learning, or agentic systems.
• Experience with modern research stacks (e.g., JAX/Flax or PyTorch) and scaling experiments.
• Strong experimental taste: Good judgment regarding baselines, ablations, and what is worth testing.
• Comfort with scaling, evaluation methodologies, and diagnosing complex failure modes.
• A focus on craft: You care about doing excellent work while maintaining a high velocity.

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In this 'touch and go' role, you'll provide expert administrative support during their initial 3+ months, directly contributing to their successful integration. This is an ideal role for someone who enjoys a fast-paced, flexible environment and excels at supporting senior leaders across various teams and areas.

Artificial Intelligence could be one of humanity's most useful inventions. At Google DeepMind, we're working together to advance the state of the art in artificial intelligence.

The Role

• Perform a wide range of E/ABP tasks on a rotating basis, including managing complex calendars, booking travel, creating expense reports, organizing events, and scheduling facilities and equipment.
• Seamlessly onboard/ramp-up and offboard new executives, adjusting and pivoting as needed to meet evolving needs.
• Provide meeting support by circulating agendas, capturing notes, and ensuring action items are followed up on.
• Arrange domestic and international travel, including hotel reservations, flight check-in, visas, and detailed itineraries.
• Handle financial administration such as compiling expense claims, approving purchase orders, and managing reimbursements.
• Act as a point of contact, managing incoming requests and heavy email correspondence.
• Build efficiency and effective responsiveness into operations, suggesting ideas for continuous improvement and helping to define new operational strategies.
• Collate and track actions and deliverables.
• Establish exemplary trust with executive leaders and partners, making decisions on their behalf using excellent judgment and discretion.
• Develop strong working relationships with each leader by thinking ahead, handling priorities, anticipating needs and future challenges, and proposing solutions to enable effective decision-making.
• Understand key stakeholders and build/maintain effective working relationships across the organization.

About You

• You are a resilient Assistant, with experience working in a fast-paced environment.
• You are energetic, enthusiastic and have a keen interest to continue to develop your career in supporting and enabling others.
• Colleagues describe you as positive, warm, kind, trustworthy and efficient; with a can-do attitude, willingness to learn and a strong desire to grow.
• Passionate about supporting and enabling others, motivated by Leader support.
• Proactive, you are a self-starter and a naturally strong problem-solver; you can anticipate what needs to be done without guidance.
• Highly organised, you manage priorities well; juggling and handling multiple deadlines and tasks efficiently, whilst being able to manage expectations in a thoughtful way.
• Can adapt quickly to changing demands and embrace ambiguity.
• Able to demonstrate administrative excellence, you have an acute and exceptional attention to detail.
• Solid communicator and active listener; you exhibit a high EQ.
• Able to build relationships across teams and foster trust.
• Collaborative and thrives in a team environment.
• Proactively seek out time-saving solutions and tools.
• Open to new ways of working, curious and dedicated to continuous improvement for yourself and the team.
• Experience with Google Suite is preferable but not crucial.

US Base Salary Range: $96,000 USD - $138,000 USD + bonus + benefits

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You will join the Technical Intelligence (TI) team with a dual mission: to analyse the 'supply side' of the AI revolution (infrastructure and cloud economics) and to provide decisive competitive advantages by monitoring the external Large Model (LM) landscape.

Your insights will directly inform Google's strategic planning, investment decisions, and technical roadmaps, ensuring we anticipate market moves rather than react to them.

As a vital intelligence node for the external AI ecosystem, you will act as the expert on both the AI infrastructure market and competitor activity.

You will analyse how compute power is being financed, built, and priced, while simultaneously synthesising public planning records and industry reports to track the strategies of key industry players.

You will partner closely with Google Cloud (IaaS and Vertex), the Gemini App team, Gemini Research, Google Infrastructure, and Corporate Finance.

The role involves deeply analysing the strategies and roadmaps of key industry players, including major AI labs, Hyperscalers, and specialised NeoClouds.

You will identify forthcoming technical releases, strategic partnerships, and shifts in model architecture.

You will track external resource commitments, including data center footprint expansions, compute cluster acquisitions, and supply chain bottlenecks.

You will estimate future training capabilities across the industry.

You will build financial models for AI competitor pricing structures, burn rates, and unit economics for AI workloads.

You will analyse financing strategies for GPU/TPU acquisition and assess the sustainability of competitor strategies.

You will develop detailed quarterly reports and ad-hoc memos on the state of the global AI compute market and competitive landscape.

You will translate complex technical, business, and supply chain signals into clear narratives for executive leadership.

You will provide data-driven diligence and recommendations to support decisions regarding M&A targets, external compute partnerships, and strategic infrastructure investments.

To succeed in this role, you will require a Bachelor's degree in a quantitative or technical field or equivalent practical experience.

You will need 3+ years of experience in technical / go-to-market product management, equity research, strategic consulting, or competitive intelligence within the technology sector.

You will need experience in financial modelling and analysis, with the ability to estimate costs and unit economics of technical projects.

You will need demonstrated ability to synthesise disparate data sources into coherent strategic insights.

You will need a strong understanding of the Generative AI landscape, including familiarity with Large Language Models (LLMs) and the key industry players.

A CFA or Master's degree in a relevant field would be an advantage.

Solid understanding of the AI hardware ecosystem and/or the Generative AI landscape would also be beneficial.

Direct experience working for a major AI Cloud provider or for an AI lab in a hardware strategy role would be advantageous.

Excellent written and verbal communication skills, with experience presenting high-stakes analysis to senior executives, are essential.

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We're a team of scientists, engineers, machine learning experts, and more, working together to advance the state of the art in artificial intelligence.

About Us The Agentic Red Team is a specialized, high-velocity unit within Google DeepMind Security. Our mission is to close the 'Agentic Launch Gap',the critical window where novel AI capabilities outpace traditional security reviews.

The Role As a Senior Security Engineer on the Agentic Red Team, you will be the primary technical executor of our adversarial engagements. You will work 'in the room' with product builders, identifying architectural flaws during the design phase long before formal reviews begin.

Key Responsibilities:

• Execute Agile Red Teaming: Conduct rapid, high-impact security assessments on agentic services, focusing on vulnerabilities unique to GenAI such as prompt injection, tool-use escalation, and autonomous lateral movement.
• Develop Advanced Exploits: Engineer and execute complex attack sequences that exploit non-deterministic model behaviors, agentic logic errors, and data poisoning vectors.
• Build Automated Defenses: Write code to transform manual vulnerability discoveries into automated regression testing frameworks ('Auto Red Teaming') that prevent regression in future model versions.
• Embed with Product Teams: Partner directly with developers during the design and build phases to provide immediate feedback, effectively shortening the feedback loop between offensive findings and defensive engineering.
• Curate Threat Intelligence: Maintain and expand a library of agent-specific attack patterns and exploit primitives to establish robust release criteria for new models.

About You In order to set you up for success as a Software Engineer at Google DeepMind, we look for the following skills and experience:

• Bachelor's degree in Computer Science, Information Security, or equivalent practical experience.
• Experience in Red Teaming, Offensive Security, or Adversarial Machine Learning.
• Strong coding skills in Python, Go, or C++ with experience building security tools or automation.
• Technical understanding of LLM architectures, agentic workflows (e.g., chain-of-thought reasoning), and common AI vulnerability classes.

Preferred Qualifications

• Hands-on experience developing exploits for GenAI models (e.g., prompt injection, adversarial examples, training data extraction).
• Experience working in a consulting capacity with product teams or in a fast-paced 'startup-like' environment.
• Familiarity with AI safety benchmarks, evaluation frameworks, and fuzzing techniques.
• Ability to translate complex probabilistic risks into actionable engineering fixes for developers.

Salary & Benefits The US base salary range for this full-time position is between $166,000 - $244,000 + bonus + equity + benefits.

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This is a rare opportunity to plan and deliver events that help drive connection, collaboration, and knowledge sharing across multiple locations, time zones, and disciplines to both internal and external audiences. Our events play a key role in supporting Google DeepMind's mission and priorities by bringing together our internal teams to share and collaborate as well as educating and sharing knowledge with key external audiences.

As a Google DeepMind Events Manager, you will be a part of the Global Events and Experiences team, collaborating closely with teams across Google DeepMind, bringing our work to life for both internal and external audiences. These events may include conferences, town halls, hackathons, team offsites, social events, policy, and developer events and will take place both on campus and at external venues.

Key responsibilities:

• Lead the end-to-end design of bespoke, world-class experiences. Move beyond the standard to pioneer unique, innovation-led environments that authentically reflect and amplify the cutting-edge mission of Google DeepMind.

• Continuously evolve our internal and external event programs. You will identify opportunities to disrupt traditional formats, utilising creative technology and experiential design to create inspiring moments of connection.

• Partner with cross-functional teams (Workplace, Comms, Marketing, Finance) to translate complex objectives into seamless, narrative-driven experiences.

• Thrive in a fast-paced environment and respond nimbly to stakeholder briefs, often with short lead times.

• Act as a trusted advisor and creative thought partner to senior stakeholders and leadership.

• Project manage a portfolio of complex, high-stakes activations simultaneously. You will create the detailed project plans whilst managing timelines, workstreams, and risk assessments.

• Manage the full lifecycle of event production, from rigorous budget management and contract negotiation to collaborating with a roster of top-tier external agencies and vendors.

• Ensure all activities are compliant with Google's health, safety, and governance policies.

• Undertake some international travel as needed.

About You:

• You are a motivated, curious, and approachable individual with solid events experience, who wants to work for a fast-paced and ambitious company with events playing an integral part to its success.

• In order to set you up for success as an Events Manager at Google DeepMind, we look for the following skills and experience:

• A deep, genuine passion for the frontier of technology and AI. The ability to translate concepts into immersive event narratives that captivate audiences.

• An enthusiasm for the new, always looking for emerging trends in experiential design, eager to pilot cutting-edge formats that surprise and delight.

• A portfolio that demonstrates a breadth of events of varying scope, scale, complexity, and audiences.

• Exceptional project management skills, able to simultaneously manage multiple events with tight deadlines.

• A proactive problem solver.

• Naturally curious with a passion for learning about science and artificial intelligence and adopting the latest technology.

• Deep knowledge of the events industry and current and future trends.

• Track record of hiring and managing agencies and other partners.

• Budget management skills.

• Comfortable navigating change and ambiguity and working independently.

• Collaborative and inclusive approach.

• Flexibility to travel as needed.

• Experience in the technology sector, including in the field of artificial intelligence.

• Minimum of 8 years events experience

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Key responsibilities include researching post-training methods such as reinforcement learning and self-supervised training for information-seeking scenarios in Gemini, developing novel evaluation methods for improving model quality, grounding, and factuality, and researching orchestration of tool calls and improved retrieval methods for information-seeking scenarios.

To succeed in this role, you should have a PhD in a relevant area or an equivalent research/publication record, strong software-engineering skills, and experience in reinforcement learning, post-training methods, and LLMs for information-seeking scenarios.

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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:

• Research and develop key technologies such as Semantic IDs, generative retrieval/ranking, large user models.
• Build prototypes to demonstrate the 'art of the possible' for recommendation systems using the newest AI advances.
• Work closely with product teams to translate research breakthroughs into deployed solutions for flagship products, tackling real-world challenges at an industrial scale through new recipes.

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 Research Scientist at Google DeepMind, we look for the following skills and experience:

• PhD in Machine Learning, Computer Science, or a relevant field (or equivalent practical research experience).
• A proven track record of research excellence (e.g., publications at top-tier venues like NeurIPS, ICML, ICLR, or significant industry contributions), ranging from recent graduates to experienced researchers.
• Strong software engineering skills to complement your research background.

In addition, the following would be an advantage:

• Proven track record of building recommender / search systems and/or successfully deploying novel deep learning algorithms at industrial scale.
• Skilled in LLM post-training algorithms and infra, with proficiency in JAX.
• Strong communication skills with a demonstrated ability to drive cross-functional projects and collaborate effectively across organizational boundaries.

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.

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