Snapshot 

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. A prominent example of our scientific discovery is Backstory. Our interdisciplinary work spans provenance analysis and the creation of tools for AI-assisted information literacy, leveraging our technologies for the widespread public benefit of a safer online environment. We thrive in a supportive environment that encourages rapid prototyping and iteration, driving our research achievements directly into Google’s flagship models, including Gemini.

About us 

Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.

We’re a dedicated scientific community, committed to “solving intelligence” and ensuring our technology is used for widespread public benefit. 

We’ve built a supportive and inclusive environment where collaboration is encouraged and learning is shared freely. We don’t set limits based on what others think is possible or impossible. We drive ourselves and inspire each other to push boundaries and achieve ambitious goals.

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 research and build multimodal reasoning systems and Vision-Language Models (VLMs) to assess the trustworthiness of media (images, audio, and videos) on the internet.   

Key responsibilities:

• Plan and perform rapid prototyping of computer vision and multimodal machine learning techniques applied to determining authenticity of media information.
• Design and train multimodal models capable of complex visual reasoning.
• 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.

About you

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

• PhD/Master’s degree in Computer Science, AI, ML, or equivalent practical experience.
• At least 2 years of relevant experience developing computer vision techniques or multimodal machine learning models.
• Experience in software development using Python and deep learning frameworks (e.g., Jax, TensorFlow, PyTorch), with a proven track record of building high-quality research prototypes and systems.
• Quantitative skills in math and statistics.
• Experience exploring, analysing and visualising data.

In addition, the following would be an advantage: 

• Experience in training and deployment of large-scale models.
• Experience with Video Understanding
• 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.

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.

About us

Artificial Intelligence could be one of humanity’s most useful inventions. At DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.

Snapshot

The People & Culture (P&C) Experience & Delivery Partner team provides responsive day to day P&C support and generalist advice, operating as trusted advisors for Google DeepMind’s (GDM) Leaders and Managers. Working in close partnership with GDM P&C Partners, they build leadership and manager capabilities, deliver operational excellence, and gather and analyse employee experience insights to support the P&C needs of the organisation and drive high performance across GDM. Our team collaborates closely with other stakeholders across the GDM, Google, and Alphabet People & Culture teams, including GDM P&C Partners, to deliver a world-class employee experience. 

We support the learning and development of each member of our team and provide both training and practical experience to support the cultivation of generalist expertise. This is an exciting and varied generalist role.

The Role

This role is embedded in our People Operations team, which sits within the wider People and Culture (P&C) team, and reports to a P&C Experience & Delivery Lead based in either London, UK or Mountain View, US. The role is location-aligned first and Unit-aligned second, working in close partnership with P&C Partners within specific locations and Units. 

Key responsibilities:

Dynamic Coaching & Advisor

• Provide dynamic and responsive coaching and advice for Leaders and Managers on policies, processes, and best practices related to key P&C topics including performance management, development, employee lifecycle processes, policy exceptions.
  
  
• Provide advice and guidance to Leaders and Managers dealing with specific challenges within their teams e.g. a retention or wellbeing issue, or interpersonal team conflict.
  
  
• Contribute to the development and delivery of scalable solutions to build Manager capability.
  
  
• The trusted advisor for people policies, practices, and legislation in a specific location, supporting a wider range of complex challenges while mitigating risks.
  
  
• Provide coaching and mentorship to more junior team members on complex issues e.g. providing guidance on difficult conversations, performance improvement plans.
  
  
• In partnership with P&C Partners and relevant P&C Centres of Excellence (CoEs), support the scoping, design, and delivery of training programs to build P&C, Leader and Manager capabilities on relevant topics, specialising in areas where location-specific nuances are critical (e.g. employment law, cultural sensitivity).
  
  
• Identify and make recommendations about how to address systemic issues affecting wellbeing and performance within specific locations e.g. conducting org assessments, analysing trends, and recommending initiatives.
  
  

Operational Excellence

• Execute and deliver P&C initiatives, projects and cyclical processes, advising and collaborating with cross-functional teams.
  
  
• Partner with P&C Partners to deliver Unit specific organisational efforts including reorgs, large scale performance management efforts and strategic initiatives that align with a Unit’s P&C Strategy.
  
  
• Independently manage employee lifecycle process e.g. Exits and Flexible working
  
  
• Identify the need for, and take responsibility for driving,  process improvement initiatives, such as streamlining query management, improving processes and conducting root-cause-analysis on and resolving recurring issues.
  
  
• The go-to-person within the PXD team for delivery of a cyclical process, overseeing delivery to a high standard, and ensuring that process changes are well understood.
  
  
• Oversee delivery of process improvements, ensuring alignment with regional employment laws and cultural norms. This could involve collaborating with other teams cross-functionally to streamline workflows and improve the overall employee experience.
  
  
• Advise and guide others through ways of working, tools, or process improvements.
  
  

Employee Experience Insights

• Conduct analysis on relevant data, share themes and insights from analysis, and use the data to make recommendations and inform decisions.
  
  
• Conduct in-depth analysis of employee data, including engagement surveys, exit interviews, and performance reviews, to identify location-specific trends and develop targeted initiatives in partnership with CoEs and P&C Partners.
  
  
• Serve as a subject matter expert on employee experience within the relevant region, providing insights and recommendations to P&C  colleagues.
  
  

About You

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

• Subject matter expertise: You proactively maintain up-to-date knowledge of the latest employment law, P&C policies, trends, and best practices. You share your insights with others in your team and across P&C.
  
  
• Subject matter expertise: You are quick to develop a solid understanding of different business contexts and challenges, enabling smooth transitions into new areas.
  
  
• Communication & interpersonal skills: You influence stakeholders to address complex problems, and effectively communicate complex information to diverse audiences.
  
  
• Critical thinking & problem-solving: You apply analytical and problem-solving skills to complex organizational challenges. You conduct thorough research, gather and interpret data, identify root causes, and develop innovative and effective solutions.
  
  

In addition, the following would be an advantage: 

• Experience in working with global teams and navigating cultural differences.
  
  
• Experience in designing and delivering training programs, and process design.
  
  
• Experience in using data to drive HR decisions.
  
  
• Knowledge of HR trends and best practices.
  
  
• A degree or professional certification in Human Resources Management or a related field

Job posting salary range: 142,000 USD - 205,000 USD

About Us

Artificial Intelligence could be one of humanity’s most useful inventions. At DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.

The Role

As AI agents become more capable and autonomous, they introduce an entirely new frontier of security challenges. This role is about setting the multi-year vision for the fundamental security paradigms required to ensure agents remain safe, aligned, and resilient against attack as they advance toward AGI.

You will be the single-threaded product owner responsible for the strategy that addresses the full spectrum of agent-related threats, including Prompt Injection, Anti-Distillation, and other novel Threats against AI. Your scope will also include defining the product roadmap for ensuring System Integrity and developing the foundations for long-term AGI Control.

The "product" is the end-to-end security posture and resilience of our agentic systems. You will own and navigate the complex trade-offs between agent capability, research velocity, and security, influencing and aligning senior leadership across Google to chart our path for deploying trustworthy agents.

Key responsibilities:

• Define and own the multi-year vision, strategy, and roadmap for a portfolio of Agent Security initiatives.
• Lead the product definition and strategy to defend against a wide range of threats, including prompt injection, anti-distillation, and adversarial misuse.
• Define the product roadmap for long-term, scalable AGI Control, in partnership with Google’s foremost research and safety teams.
• Own the entire product lifecycle for Agent Security initiatives, from navigating ambiguous early-stage research to driving execution on large-scale strategic bets.
• Drive strategic alignment and secure buy-in from senior leadership (Director, VP, and SVP) across DeepMind and Google.
• Serve as a leading subject matter expert and thought leader on Agent Security within Google.
• Lead and influence complex, cross-functional initiatives, bridging the gap between novel research, applied engineering, and scaled product deployment.

About You

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

• Bachelor's degree or equivalent practical experience.
• 12+ years of experience in product management.
• Experience taking complex, technical products from initial concept to successful launch and scaled impact.
• Deep technical expertise in AI/ML and Cybersecurity.
• Proven ability to manage a portfolio of complex, multi-year strategic bets, from research to large-scale product commercialization.
• Experience defining novel metrics and quantitative goals for large-scale, technically complex problems.
• Exceptional executive communication skills; ability to simplify complex technical and security concepts for senior leadership.
• Demonstrated experience leading large, complex, cross-functional initiatives in highly ambiguous, zero-to-one domains.

In addition, the following would be an advantage:

• Hands-on experience in AI Security (e.g., adversarial ML, red teaming, jailbreaking), foundational AI research, or deep systems-level security (e.g., building secure infrastructure, automated defenses).
• Hands-on experience in software development or engineering.
• A track record of influencing and driving ambitious, multi-year "moonshot" style initiatives from concept to reality.

The US base salary range for this full-time position is between $240,000 - $334,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.

Application deadline: April 8, 2026

At DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, maternity or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

Snapshot 

Executive Business Partner Program Manager's play a key role in the delivery and management of a mission-focussed and effective E/ABP program. Day-to-day, 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. 

About Us 

Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.

The role

Key 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. 

About you

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

• 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.

In addition, the following would be an advantage: 

• 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

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

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.

About Us

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.   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 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. You’ll support our talent outreach work of building networks, engaging talent, and mapping insights in our most critical areas of GDM research.  

Key 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 GDMs 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 organised 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

Snapshot

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.

About Us

We're the GeminiApp team at Google DeepMind, on a mission to build the most helpful and personal AI assistant, giving everyone direct access to Google’s latest and most capable AI models. We are at an exciting inflection point, transforming how people collaborate with generative AI to enhance their productivity, spark creativity, and satisfy their curiosity. Our work is built on pioneering advances in multimodal LLMs, and we thrive on rapid iteration, constantly learning and evolving as we develop groundbreaking features. We're committed to responsible innovation, guided by our AI Principles, ensuring we make information and computing more accessible and useful. If you're energized by shaping a technology that's still in its early, dynamic days and are passionate about making a tangible impact on how people interact with AI, you're in the right place!

The Role

Working as an Administrative Business Partner on the GeminiApp team offers a distinct opportunity to operate at the epicenter of AI development at Google. You'll partner with brilliant minds and directly influence the trajectory of GeminiApp. Here, you’ll be encouraged to think beyond the immediate task, proactively finding creative solutions and taking ownership to make things happen. We're a highly collaborative team that moves quickly and adapts fluidly, much like a start-up. You won't just support our culture; you'll actively help build and energize it – fostering an environment of innovation, shared responsibility, and continuous growth.

This Administrative Business Partner role will provide dedicated support for up to three leaders. This position is based in Mountain View (MTV) with a hybrid model of 3 days in-office per week.

Key responsibilities:

This isn't just about support; it's about strategic partnership and impact. You'll be at the heart of a team working at lightning speed to make Gemini the most helpful and personal AI assistant. Your contributions will include:

• Providing proactive, strategic administrative partnership to your Directors, masterfully managing complex calendars, global travel, and expenses.
• Collaborating closely with your executives and their teams, ensuring strategic projects launch successfully by anticipating roadblocks, driving timelines, and facilitating communication.
• Spearheading the creation and execution of impactful internal and external meetings, offsites, and events that drive project milestones, foster team cohesion, and align with strategic objectives.
• Tackling complex challenges and ambiguous situations with initiative, creativity, and minimal guidance, delivering innovative and effective solutions.
• Serving as a trusted thought partner to your executives, anticipating needs, providing insightful recommendations, and proactively optimizing team operations and workflows.
• Championing operational excellence by identifying opportunities for improvement and developing/implementing scalable processes to enhance team efficiency and effectiveness.

About You

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

Your ability to be incredibly flexible, adaptable, and proactive will be paramount. A rapid learning curve, an enthusiastic embrace of new challenges, and the drive to find solutions independently in a dynamic setting are what will make you soar as a GeminiApp Executive Business Partner.

Minimum qualifications:

• BA/BS degree or equivalent practical experience.
• 3+ years of administrative experience in a high-tech or international environment, excelling at core tasks (e.g., travel management, expense reports, calendar management, facilities coordination).
• 3 years of direct executive support experience, supporting VP or Director-level executives, or highly transferable experience.

In addition, the following would be an advantage:

• Proven track record of providing administrative experience supporting senior executives in a dynamic, fast-paced corporate or start-up setting.
• Demonstrated success in leading and managing mid-size projects and events from concept to flawless execution.
• Experience supporting leaders with intricate global organizations, adeptly navigating diverse cultures and time zones.
• Prior ABP (Administrative Business Partner) experience at Google.
• A natural ability to quickly master new tools and technologies, with a passion for leveraging them to boost efficiency and productivity.
• Deep understanding and practical application of project, program, and process management principles to solve operational challenges.
• Impeccable discretion and confidentiality on all business matters.
• Exceptional ability to communicate, collaborate effectively, and build strong relationships with a diverse range of people, job functions, and leadership levels.
• Demonstrated ability to thrive in ambiguous situations, manage competing priorities, and adapt swiftly to changing circumstances with composure and good judgment.
• A strong desire for continuous learning, a willingness to step beyond your comfort zone, and the initiative to take on new challenges.
• Outstanding written and verbal communication skills – clear, concise, engaging, and professional.
• A track record of thriving in ambiguous, complex, and rapidly evolving work environments.
• A genuine passion for technology, user experience, AI, and the future we're building at Google. 

The US base salary range for this full-time position is between $79,000 - $112,000 + 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.

At DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, maternity or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

About Us:

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.isted for the position, we will contact you to set up an initial interview where you will have the opportunity to ask questions and learn more about the position.   

At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

Snapshot

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 the Principal Engineer you will focus on architecting and building the flagship GeminiApp infrastructure. You will serve as the technical anchor for the application and orchestration layer, owning the code quality, architectural decisions, and system design of new design systems and functionality. You will partner closely with Product, Design, and Engineering Directors to evolve our platform, personally engineering the complex, high-performance server-side infrastructure required to support fast chat interactions and agentic workflows. In this role, you will be a leader who can balance defining a long-term technical roadmap for a paradigm-shifting infrastructure and dive deep into code to drive high velocity, stability, and quality.

Key responsibilities:

• Architect the Gemini app serving and orchestration layers. Write the design docs and define the interfaces that ensure the codebase is scalable, modular, and capable of supporting rapid innovation.
• Design and implement robust CI/CD pipelines and experimentation platforms. Build the tooling that enables the wider engineering team to utilize A/B testing and feature flags to safely and quickly iterate.
• Drive application performance initiatives (performance, reliability, efficiency). Debug complex production issues and advocate for code quality standards to ensure the infrastructure scales to our product needs.
• Act as the strategic technical counterpart to product and design leadership. Assess feasibility of ambitious concepts and propose technical solutions that turn AI capabilities into reality.
• Mentor staff and senior engineers, lead code reviews, and foster a culture of technical accuracy, psychological safety, and user-centricity.

About You

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. 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 listed for the position, we will contact you to set up an initial interview where you will have the opportunity to ask questions and learn more about the position.  

At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

Snapshot

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. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.

We’re a dedicated scientific community, committed to “solving intelligence” and ensuring our technology is used for widespread public benefit. 

We’ve built a supportive and inclusive environment where collaboration is encouraged and learning is shared freely. We don’t set limits based on what others think is possible or impossible. We drive ourselves and inspire each other to push boundaries and achieve ambitious goals.

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

Snapshot

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). 

About us

Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.

The Team

As part of its remit, the Responsible Development & Innovation team (ReDI) team proactively identifies, researches, and addresses emerging ethical and safety challenges in AI. Collaborating with internal and external experts, the team develops and refines practical guidelines and policies to ensure Google DeepMind’s technology aligns with our AI Principles. When necessary, the team conducts original research to inform these pioneering guidelines and policies. 

The team’s relevant output includes:

Guidelines for research or governance teams in developing or deploying technology.

Artifacts, processes, or coordination mechanisms supporting the creation and implementation of these guidelines and policies within Google DeepMind and beyond, such as academic papers, evaluation frameworks, and cross-company workshops.

The role

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. While the primary focus is on developing internal guidelines and informing our AI development process, where appropriate, opportunities for external publication may arise.

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.

About you

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.

The US base salary range for this full-time position is between $174,000 - $258,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.

Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy.

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

Research Scientist, Gemini Information Tasks

Mountain View, CA

Snapshot

We are looking for a research scientist who will drive research in Gemini for information tasks. The candidate will primarily work on post-training, but could potentially also work on model-external interventions.

About Us

Our team works on improving Gemini on tasks where users interact with the model to complete information journeys;  this includes improving helpfulness and factuality of Gemini models.  To this end, we have developed novel post-training innovations to improve the quality, groundedness and factuality of Gemini models in search on mode.  Our work impacts product surfaces including AI Mode, Gemini App, AI Studio and Vertex AI.

The Role

In this role, we expect the candidate to work on improving Gemini for information tasks, focusing on quality of information-seeking responses (helpfulness, factuality, grounding, and other aspects). It is an opportunity to explore fundamental issues in modeling and data interventions for information-seeking scenarios, with very significant opportunities in shaping Google’s products in this space.

Key responsibilities:

• 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 

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

• PhD in a relevant area, or an equivalent research/publication record
• Number of years experience: anything from recent PhD onwards
• Strong software-engineering skills in addition to a research background

In addition, the following would be an advantage:

• Experience in reinforcement learning
• Experience in post-training methods
• Experience in LLMs for information-seeking scenarios
  
  

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

Snapshot

As a Program Manager for our AI Platform, you will be the operational heartbeat of a large cross-functional program powering the Gemini and GenAI serving stack. This is a 12-month fixed-term contract (FTC) role designed to provide critical program support and drive operational excellence. 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.

The Role

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

• Define, lead, and own program charters that address scope, timeline, OKRs, resourcing, and risks/dependencies of complex programs
• Lead design reviews and technical steering discussion forums to effectively vet and accelerate engineering velocity.
• Partner closely with engineers to resolve operational bottlenecks and support the delivery of infrastructure projects.
• Organize and lead program reviews, summits and other events to foster collaboration and team cohesion.
• Identify opportunities to revamp or reboot existing processes, moving from chaotic workflows to structured, efficient frameworks.

About You

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 (Non-negotiable)

• Proven experience as a Program Manager, distinct from Product Management or Engineering roles.
• Experience working directly with engineers on large-scale infrastructure projects.
• Demonstrated ability to create, implement, and influence process improvements across stakeholders in a fast-paced environment.
• Comfortable working in an agile, ever-changing environment where goals and metrics may pivot.
• Strong track record of managing project lifecycles, execution, and reviews.

Preferred Qualifications

• Familiarity with software stacks, agile methodologies, and the AI/ML realm, specifically Gemini or similar LLM serving stacks.
• Experience working effectively with teams across multiple time zones throughout the US and Europe.
• Proven ability to take chaotic or unstructured programs and implement clear, sustainable operational frameworks.

The US base salary range for this FTC position is between $156,000 - $229,000 + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.

Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy.

At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

Snapshot

Google DeepMind is seeking a visionary Technical Program Manager to serve as the strategic catalyst for our most ambitious research initiatives. As a master of the TPM craft, you possess the rare ability to translate complex technical research and engineering efforts into detailed execution plans and rigorously drive them to completion. You bring an advanced command of program management methodologies and technical processes, proactively leveraging AI-driven workflows to accelerate research velocity and scale your impact. You blend creative, high level problem solving with the deep technical due diligence required to shape architecture and build credibility with world class scientists. By co-developing strategies and scalable roadmaps, you lead through influence, transforming immense technical ambiguity into a mission that people want to follow and results that deliver global scientific impact.

About Us

At Google DeepMind, we believe AI is a transformative force for humanity. Our multidisciplinary team of scientists, engineers, and ethicists is dedicated to advancing the frontier of machine learning through rigorous discovery and responsible innovation. We tackle the world's most complex challenges, prioritizing safety and ethics as we pioneer technologies that drive scientific progress and deliver widespread public benefit.

The Role

As a TPM in Frontier Research, you will navigate immense technical complexity and manage critical cross-functional dependencies at the leading edge of AI. You will apply deep technical expertise to perform engineering due diligence, influence high-level architecture, and accelerate the delivery of research. This role demands an exceptional ability to provide clarity within ambiguous environments and implement creative solutions for driving highly technical programs in a fast-paced, competitive scientific landscape.

You will drive real impact across Frontier AI domains, navigating the full model lifecycle. Technical knowledge in high efficiency on device architectures, multimodal understanding, V&V of AI systems, or RAG is beneficial but not required.

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.

The US base salary range for this full-time position is between $163,000 - $237,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.

Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy.

At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

Snapshot

At Google DeepMind, we value a unique culture where long-term ambitious research flourishes. We are seeking a highly motivated ML Silicon Tech Lead Manager to join our HW-SW co-design team. This is a hands-on role for a deeply technical expert who will also lead a high-impact team to drive advances in machine learning acceleration.

About You

GenAI at Google DeepMind prioritizes deeply technical leadership. We are looking for an individual who:

• Contributes as a Senior IC: You are expected to be a direct technical contributor, particularly during onboarding and within key workstreams.
• Acts as a Technical Anchor: You excel at aligning senior engineers who may have diverging technical directions. You are the person who reduces the feeling of "too many moving parts" by providing a cohesive architectural north star.
• Thrives in Ambiguity: You are flexible enough to change course when ideas don't work out and willing to "plug in" wherever the project needs the most senior technical support.

The Role

As a TLM, you will spend a significant portion of your time on technical execution while managing a multi-disciplinary team to evolve our ML accelerator designs  in close collaboration with a paired ML software team.

Key Responsibilities:

• Direct Technical Contribution (IC): Directly contribute to the codebase and technical strategy. IC focus can be one specific silicon engineering discipline, or spanning the program needs more broadly.
• Technical Team Leadership: Lead a small team of ML silicon engineers across logic design, physical design, interconnect, and power.
• Architectural Alignment: Drive team cohesion by synthesizing fragmented technical opinions into a single, high-quality execution plan.
• HW-SW Strategy: Partner closely with the ML software team to define requirements for next-generation ML accelerators.
• Execution Management: Oversee technical execution across a virtual team including Google-internal and external partners.

Minimum Qualifications:

• Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.
• 10+ years of experience in silicon architecture, design, validation, or product development.
• 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 cross-functional silicon projects, including schedule, scope, and execution, and also 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.

At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

Snapshot

At Google DeepMind, we value a unique culture where long-term ambitious research flourishes. We are seeking a highly motivated ML Software Tech Lead Manager to join our HW-SW Co-design team. This is a hands-on IC role for a deeply technical expert who will also lead a small, high-impact team to drive advances in machine learning acceleration.

About You

GenAI at Google DeepMind prioritizes deeply technical leadership. We are looking for an individual who:

• Contributes as a Senior IC: You are expected to be a direct technical contributor, particularly during onboarding and within key workstreams.
• Acts as a Technical Anchor: You excel at aligning senior engineers who may have diverging technical directions. You are the person who reduces the feeling of "too many moving parts" by providing a cohesive architectural north star.
• Thrives in Ambiguity: You are flexible enough to change course when ideas don't work out and willing to "plug in" wherever the project needs the most senior technical support.

The Role

As a TLM, you will spend a significant portion of your time on technical execution while managing a multi-disciplinary team to evolve our software stack.

Key Responsibilities:

• Direct Technical Contribution (IC): Directly contribute to the codebase and technical strategy. Focus ideall includes acting as a Mountain View-based bridge between our co-design time and the Gemini core team.
• Technical Team Leadership: Lead a small team of ML software engineers across numerics, performance optimization, novel training techniques, and novel model exploration.
• Architectural Alignment: Drive team cohesion by synthesizing fragmented technical opinions into a single, high-quality execution plan.
• HW-SW Strategy: Partner closely with the hardware team to define requirements for next-generation ML accelerators.
• Execution Management: Oversee technical execution across a virtual team including Google-internal and external partners.

Minimum Qualifications:

• Bachelor’s degree in Computer Science, or equivalent practical experience.
• 10+ years of experience in high-performance software, including AI/ML.
• Proven track record of direct technical contribution and leadership in delivering complex silicon or software projects to production.

Preferred Qualifications:

• Master’s or Ph.D. in a related field.
• Hands-on experience with high-performance compute IPs (GPUs, ML accelerators).
• Experience contributing to silicon development.
• Expertise in at least one core silicon engineering discipline (e.g., RTL, PD, DV) and familiarity with the full ASIC flow.

Snapshot

We're looking for two experienced Administrative Business Partners to join our 12-month flex program, focused on the crucial onboarding of new Google DeepMind executives. 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.

About Us

Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.

The Role

Key responsibilities:

• 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.

The US base salary range for this  position is between 96,000 USD - 138,000 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

At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

Snapshot

The Gemini App Design team is instrumental in building the Gemini Universal Assistant, the conversational AI that people around the world use to collaborate with generative AI to fuel their imagination, expand their curiosity, and enhance their productivity. We're building innovative ways for people to get things done & enrich their lives. Our Design team is dedicated to developing the world's useful generative AI experiences.   

About Us

At Google DeepMind, we aim to unlock state-of-the-art artificial intelligence capabilities across Alphabet, creating positive impact and magical product experiences for billions of users.  We're a world-leading AI research company, pushing the boundaries of what's possible with artificial intelligence. Our groundbreaking research spans areas like machine learning, neuroscience, and systems engineering, with applications ranging from scientific discovery to creating more helpful and intuitive products. We're committed to developing AI responsibly and ethically, and we foster a collaborative and inclusive environment where brilliant minds come together to tackle some of the world's most challenging problems. Join us and be part of a team that's shaping the future of AI.

The Integrated Assistance team contributes towards this mission by making Gemini a personalized universal assistant that is natively present across devices and apps. We unlock useful generative AI experiences through deep OS and app integrations, including the quick access Android overlay, embedded app entry points, and novel screen context capabilities. As shepherds of the largest volume surfaces in Gemini, we aim to guide users to understand the value of generative AI, including unique capabilities outside of the full screen Gemini app. We are a global team with designers based in Europe and US, and engineering and product partners in those locations as well as India. We partner closely with other UX designers in the Gemini App team, including research and modelling.

Role

We are seeking a highly experienced, self-starting, and innovative Staff AI Product Designer to join our Gemini Integrated Assistance Team. As a key member of our team, you will work hand-in-hand with engineers, research scientists, and product managers to design and build intuitive solutions to help people around the world use Google’s best AI models to enrich their lives and realize their potential.  You will play a crucial role in shaping the future of how people interact with AI. You will be involved in all aspects of the design process, from conceptualization and ideation to prototyping and implementation in a fast-moving and highly collaborative environment.

Responsibilities:

• 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.

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 vibe-coding with tools like Loveable, ReplitFigmaMake, AI Studio, Cursor or AntiGravity.
• Experience with front-end development technologies (HTML, CSS, JavaScript, React, Swift, Jetpack Compose) and coding tools (CLIs, IDEs).
• Demonstrable experience designing polished, highly performant mobile apps and experiences requiring OS integrations (Android, iOS).
• Experience driving product impact through close collaboration with user research, including expertise in user research methodologies for AI product evaluation.

The US base salary range for this full-time position is between $178,000 USD - $265,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.

Application deadline: 

Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy

At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

Snapshot

At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. We don’t set limits based on what others think is possible or impossible. We drive ourselves and inspire each other to push boundaries and achieve ambitious goals.

The Area: Gemini App

The Gemini App is at the forefront of the AI revolution, bringing helpful, generative AI experiences to users across the globe. We are seeking a visionary Design Leader to lead the strategy that will define the future of our product.

The Role

As a leader, you will use your UX expertise to innovate and push the bounds of what the Gemini App can be for our customers. 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.

Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy

The US base salary range for this full-time position is between $275,000 USD - $383,000 USD + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.

At DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, maternity or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

Snapshot

We are seeking a highly motivated Research Engineer (L5) with a strong background in multi-modal modelling for humans and a focus on speech & audio/visual to join the effort within Google DeepMind's Frontier AI unit. This role is pivotal in developing foundational multimodal AI capabilities to understand, generate, and protect human likeness. As a key contributor, you will design and implement cutting-edge models and frameworks, pushing the boundaries of AI to enable foundational capabilities for human-centric understanding and generation. This is a unique opportunity to contribute to impactful research and advance Google DeepMind's mission towards Artificial General Intelligence (AGI).

About us

Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence and ultimately achieve Artificial General Intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.

The effort is a part of Google DeepMind's Frontier AI unit. The team aims to build holistic representation encompassing a full spectrum of human understanding. We develop systems to provide perception skills critical for person-centric applications, which is crucial for enabling AI to interact naturally & seamlessly, depict humans accurately &  responsibly in generative AI, and build trustworthy & resilient systems that can detect and prevent misuse like deepfakes and impersonation.

The role

You will drive outcomes for critical technical components aimed at advancing our capabilities in multimodal human understanding. You will play a critical role in developing and deploying models that can provide accurate human understanding across multiple modalities (e.g., visual appearance, voice, dynamics, etc), while also building robust defenses against sophisticated AI-driven manipulation and impersonation.

This role involves tackling complex, ambiguous problems with no obvious "best" solution, requiring independent judgment and a proactive approach to exploring multiple technical avenues. You will be instrumental in shaping the technical direction for core components of the effort. Your contribution will lead to key breakthrough and impactful landings within GDM and across Google products, ensuring our technologies are both groundbreaking and responsibly deployed.

Key responsibilities

• Advance multimodal human representations & understanding : Research and implement novel models and other multimodal techniques for a more holistic understanding of humans across visual, audio, and textual data.
• Conduct applied research: Conduct experimental research cycles from hypothesis to deployment.
• Drive technical projects: Take ownership of substantial technical projects within the effort, from ideation and design to implementation and evaluation, often involving cross-functional collaboration.
• Contribute to Infrastructure: Inform and contribute to the development of scalable and efficient research infrastructure for multimodal human understanding models and datasets.
• Design and execute strategies for tuning and adapting VLMs and other foundation models for specific tasks

About you

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

Requirements:

• PhD degree in Computer Science, Machine Learning, or a related technical field with 3+ years of relevant experience.
• Experience in developing machine learning models, such as audio & speech-visual models.
• Experience in working with and tuning large-scale vision language models.
• Strong programming skills in Python and experience with at least one major deep learning framework (e.g., JAX)
• Experience conducting independent research and development, including experimental design, implementation, and analysis.

In addition, the following would be an advantage:

• Experience with Generative AI techniques and architectures.
• Familiarity with Reinforcement Learning or alignment methods.
• A track record of publications in top-tier AI/ML conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV).
• Experience with multimodal learning, integrating information from different data types (e.g., vision, audio, text).
• Understanding of privacy-preserving machine learning or responsible AI practices.

The US base salary range for this full-time position is between 174,000 USD - 252,000 USD + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.

Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy.

At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

Snapshot

At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. We don’t set limits based on what others think is possible or impossible. We drive ourselves and inspire each other to push boundaries and achieve ambitious goals.

The Area: Gemini App

The Gemini App is at the forefront of the AI revolution, bringing helpful, generative AI experiences to users across the globe. We are seeking a visionary Design Leader to lead the strategy that will define the future of our product.

The Role

In this critical role, you will be responsible for defining and visioning the user experience, driving design excellence, and fostering a culture of innovation across Gemini. You will work closely with product management, engineering, and research teams to deliver an intuitive, powerful, and aesthetically pleasing experience for the needs of users globally.   

The Distinguished Designer is the technical soul of the Gemini interface. You are responsible for the bridge between cutting-edge machine learning and pixel-perfect mobile implementation. You will architect the systems that allow Gemini to feel "as fast as thought" while maintaining world-class stability and performance.

Key responsibilities:

• 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. You will optimize rendering and state management to handle complex multimodal requests without compromising battery life or device thermals.
• AI-Augmented Tooling: Build and deploy internal "Design-to-Code" pipelines that allow the design team to use Gemini to automate UI generation and live-model prototyping.
• Technical North Star: Establish UX best practices for emerging technologies or ambiguous problem spaces. Mentor senior individual contributors and engineers at the intersection of UI development and AI inference.

About You

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

• Minimum: 15+ years of experience in User Experience / Design, with experience establishing UX best practices for emerging technologies or ambiguous problem spaces.
• Technical Mastery: Expert-level mastery of mobile frameworks (Flutter, Swift, Kotlin, or React Native) and front-end performance for real-time applications.
• Leadership: Demonstrated track record of shipping and scaling flagship consumer applications across platforms.

Preferred background includes one or any combination of the following:

• Master's degree or Ph.D. in a design-related field.
• Experience with AI/ML and agentic technologies; Depth and breadth of knowledge that enables ideation and development of creative solutions.

Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy

The US base salary range for this full-time position is between $323,000 USD - $449,000 USD + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.

At DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, maternity or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

Snapshot

Artificial Intelligence could be one of humanity’s most useful inventions. At DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.

The Role

As a product manager at Google DeepMind you will be responsible for shipping cutting edge AI research breakthroughs into Google’s AI models and products. As a PM on Frontier AI within GDM you will be working with brilliant AI researchers who are focused on making the biggest advances across new model architectures, AGI and advanced applications like Agents and Robotics. As the PM for Information Quality within Frontier AI, your job will be to understand the implications of generative AI on the broader societal information ecosystem. You will tackle critical challenges surrounding misinformation, advance the detection and provenance of genAI content, and analyze the shifting economics of information in a society augmented by AI. In addition to shipping robust safety and information integrity advances into our existing models, you will work closely with researchers to incubate new agentic tools designed to promote information literacy and help users navigate an increasingly complex digital world.

Key responsibilities:

• Understand the societal impact of new generative models and drive research breakthroughs in information quality, provenance, and trust.
• Build collaborations with product teams across Google (e.g., Search, YouTube, News) and model development teams to ship cutting-edge genAI detection and misinformation mitigation technologies.
• Work with researchers to envision, develop, and ship new agentic tools aimed at enhancing human information literacy and critical understanding of AI-generated content.
• Investigate and model the economics of information to ensure sustainable, high-quality knowledge creation and dissemination in an AI-abundant future.
• Evangelize research in AI safety and information integrity, making technical breakthroughs as self-serve and platformized as possible to scale across Google products.
• Sometimes, incubate entirely new products or frameworks focused on societal resilience and trust.

About You

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

• BSc, MSc or PhD in Computer Science, Information Science, Economics, or a related field.
• Deep understanding of AI models and their implications for content generation and dissemination.
• Demonstrated experience in building AI products rooted in trust & safety, information retrieval, content provenance, or misinformation detection.
• A rich understanding of the current societal challenges posed by generative AI, including the economics of the web and digital information ecosystems.
• Ability to stay up-to-speed on all relevant research in synthetic content detection, watermarking, and agentic systems.
• Ability to build clear visions and strategies for translating complex societal challenges into scalable product features or tools.
• Strong ability to communicate complex technical and societal concepts with great simplicity.
• Very strong ability to collaborate in high stakes environments with multiple senior stakeholders, policy experts, and technical leads.

The US base salary range for this full-time position is between $240,000 USD - $334,000 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 3, 2026

Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy.

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

About Us

Our team operates at the frontier of modern recommender systems. With a proven track record of innovating and deploying novel deep learning algorithms and systems at scale, we are currently focused on building the next-gen Large Recommendation Models by bridging the gap between LLMs and complex behavioral signals. Our research explores user & item tokenizations, continued pre-training, and advanced fine-tuning techniques to build recommendations-native foundation models. Our mission is to transform the landscape of recommendation systems using the most advanced AI technologies, delivering massive impact across Google’s flagship products.

The Role

As a Research Scientist, you will have the opportunity to build new paradigms using Large Language Models, harnessing the advanced content understanding, long-context, and reasoning capabilities. You will play a pivotal role in exploring how to integrate data from recommendation domains into foundation models, enabling new capabilities through data curation, Supervised Fine-Tuning (SFT), Reinforcement Learning (RL) training, and more.

Key responsibilities:

• 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.

About You

We are seeking a Research Scientist who can drive new research ideas from conception and experimentation through to productionisation. In this rapidly shifting landscape, we regularly invent novel solutions to open-ended problems. You should be flexible, adaptable, and comfortable pivoting when ideas don’t work out.

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

• 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. 

What We Offer

At Google DeepMind, we want employees and their families to live happier and healthier lives, both in and out of work, and our benefits reflect that. Some select benefits we offer: enhanced maternity, paternity, adoption, and shared parental leave, private medical and dental insurance for yourself and any dependents, and flexible working options. We strive to continually improve our working environment, and provide you with excellent facilities such as healthy food, an on-site gym, faith rooms, terraces etc.

We are also open to relocating candidates to Mountain View and offer a bespoke service and immigration support to make it as easy as possible (depending on eligibility).

About Us

At Google DeepMind, we aim to unlock state-of-the-art artificial intelligence capabilities across Alphabet, creating positive impact and magical product experiences for billions of users.  We're a world-leading AI research company, pushing the boundaries of what's possible with artificial intelligence. Our groundbreaking research spans areas like machine learning, neuroscience, and systems engineering, with applications ranging from scientific discovery to creating more helpful and intuitive products. We're committed to developing AI responsibly and ethically, and we foster a collaborative and inclusive environment where brilliant minds come together to tackle some of the world's most challenging problems. Join us and be part of a team that's shaping the future of AI.

Role

We are seeking a highly experienced, self-starting, and innovative Staff AI Product Designer focusing on our Growth and Discovery initiatives. As a key member of our team, you will work hand-in-hand with engineers, research scientists, and product managers to design and build intuitive solutions to help people around the world use  Google’s best AI models to enrich their lives and realize their potential.  You will play a crucial role in shaping the future of how people interact with AI. You will be involved in all aspects of the design process, from conceptualization and ideation to prototyping and implementation in a fast-moving and highly collaborative environment.

Responsibilities:

• 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.

The US base salary range for this full-time position is between $178,000 USD - $265,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.

Application deadline: 

Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy

At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

Snapshot

We are seeking strong Research Scientists with expertise in AI research and experience in interdisciplinary sociotechnical modeling to join a multimodal safety research effort within Google DeepMind's Frontier AI unit. This role requires a passion for understanding and modeling the interactions between AI and society, a strong awareness of the AI alignment and safety landscape, and a penchant for developing novel ideas, methods, interfaces, and tools.

This is a unique opportunity to contribute to impactful research and advance Google DeepMind's mission towards Artificial General Intelligence (AGI).

About us

Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence and ultimately achieve Artificial General Intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.

We’re a dedicated scientific community, committed to “solving intelligence” and ensuring our technology is used for widespread public benefit. 

We’ve built a supportive and inclusive environment where collaboration is encouraged and learning is shared freely. We don’t set limits based on what others think is possible or impossible. We drive ourselves and inspire each other to push boundaries and achieve ambitious goals.

Our team is a part of Google DeepMind's Frontier AI unit. We have a mission to advance the frontiers of safety and inclusion in multimodal AI, build new capabilities into Google's flagship models and products, and break new ground on AI alignment. We approach alignment research with an ecosystem view, partnering across the development and deployment cycle and grounding our work in real-world impact on global users and communities. We are a research team with a mandate to invest in longer term bets and explore innovative approaches that deliver breakthrough improvements to models (Gemini) and products. Our work is at the frontier of augmented oversight for multimodal AI, and our research advances have directly impacted multiple versions of Gemini and Nano Banana models.

The role

We are seeking strong Research Scientists with expertise in AI research and experience in interdisciplinary sociotechnical modeling, to lead new breakthrough research directions. 

You will join a team working to supercharge exploration, assessment, and steering of evolving AI behaviors, with a focus on subjective and creative tasks. You will tackle the underlying research questions to improve collaborative specification of alignment objectives and assessment of adherence to desired behaviors. You will research new methods to enable AI agents to monitor real-world social context and dynamically evaluate and evolve system behaviors over long time-horizons. You’ll develop new paradigms for human+AI rating that considers systemic behaviors, adapts to human feedback, and proactively seeks context.

Research Scientists at Google DeepMind lead the development of novel tools and algorithms to solve Artificial General Intelligence. Joining from top academic or industrial labs, they collaborate across fields to tackle fundamental AI questions using expertise in deep learning, computer vision, and generative architectures. This role requires independent judgment to navigate complex, ambiguous problems and explore diverse technical avenues. Your work will drive breakthroughs within GDM, Google products, and the AI alignment community. 

Key responsibilities

• Research: Generate new ideas, keep up with the state of the art in the field, discuss research directions with other researchers.
• Execute: Design, rapidly implement, and rigorously evaluate cutting-edge ideas, methods, interfaces, and tools to explore new sociotechnical AI systems.
• Communicate: Report and present research findings and developments clearly and efficiently both internally and externally, verbally and in writing.
• Collaborate: Suggest and engage in inter- and intra- team collaborations to meet ambitious research goals, while also driving significant individual contributions.
• Drive technical projects: Take ownership of substantial technical projects, from ideation and design to implementation and evaluation, often involving cross-functional collaboration.

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:

Requirements:

• PhD degree in Computer Science, Machine Learning, or a related technical field.
• Strong publication record in top machine learning conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, ECCV).
• Demonstrated hands-on experience in developing multimodal AI models and systems, 
• Strong programming skills in Python and experience with at least one major deep learning framework (e.g., JAX/Flax/Gemax)
• Experience conducting independent research and development, including experimental design, implementation, and analysis.

In addition, the following would be an advantage:

• Proven expertise in working with and tuning large-scale vision language models.
• Experience prototyping with VLMs with modern prompting strategies
• Experience finetuning and post-training LLMs using RL
• Experience with developing agentic AI solutions to complex problems
• Excited to collaborate across orgs and disciplines to leverage diverse perspectives and expertise and find creative solutions. 
• Interest and a strong awareness of the AI alignment / safety / responsibility / fairness landscape
• Experience with Generative AI techniques and architectures.
• Familiarity with Reinforcement Learning or alignment methods.
• Experience with multimodal learning, integrating information from different data types (e.g., vision, audio, text).

The US base salary range for this full-time position is between 147,000 USD - 211,000 USD + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.

Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy.

At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

Snapshot

Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.

The Gemini Safety team is accountable for the safety and fairness behavior of GDM’s latest Gemini models. The role of the Research Scientist / Research Engineer will be to apply and develop data and algorithmic cutting edge solutions to advance GDM’s latest user-facing models. The workstyle is fast paced, and highly collaborative. The team has a strong culture of support, dedication and collaboration.

About Us

Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.

The Role

We’re looking for a versatile Research Scientist at ease both with figuring out how to approach new research questions, and the technical implementation of research ideas. Our team focuses on advancing the safety and fairness behavior of state of the art AI models. We drive the development of the 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 make sure 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

In order to set you up for success as a Research Scientist on 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

In addition, the following would be an advantage: 

• 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.

About Us

At Google DeepMind, we aim to unlock state-of-the-art artificial intelligence capabilities across Alphabet, creating positive impact and magical product experiences for billions of users.  We're a world-leading AI research company, pushing the boundaries of what's possible with artificial intelligence. Our groundbreaking research spans areas like machine learning, neuroscience, and systems engineering, with applications ranging from scientific discovery to creating more helpful and intuitive products. We're committed to developing AI responsibly and ethically, and we foster a collaborative and inclusive environment where brilliant minds come together to tackle some of the world's most challenging problems. Join us and be part of a team that's shaping the future of AI.

Role

We are seeking a highly experienced, self-starting, and innovative Staff AI Product Designer to join the Gemini App Team to work on personalization. As a key member of our team, you will work hand-in-hand with engineers, research scientists, and product managers to design and build intuitive solutions to help people around the world use  Google’s best AI models to enrich their lives and realize their potential.  You will play a crucial role in shaping the future of how people interact with AI. You will be involved in all aspects of the design process, from conceptualization and ideation to prototyping and implementation in a fast-moving and highly collaborative environment.

Responsibilities:

• 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.

The US base salary range for this full-time position is between $178,000 USD - $265,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.

Application deadline: 

Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy

At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

Snapshot

Kaggle is the world’s largest AI and ML developer community with over 5.6 million monthly active users and 30 million registered users. Kaggle is currently evolving from static ML competitions to becoming a trusted industry standard for AI evaluation with community at its heart. As a Senior Product Manager at Kaggle, you will be at the forefront of driving this transformation, leading initiatives across our AI evaluation platform, community growth, and cutting-edge research to define "what works" in the modern AI landscape.

About Us

Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.

Within Google DeepMind, Kaggle operates as an independent brand with a vital mission: to help the world understand what works (and what doesn't) in AI. We empower a community of researchers, developers, and frontier labs by providing the ultimate arena to learn, build, and evaluate the next generation of AI systems.

The Role

To tackle Kaggle’s ambitious mandate, we are expanding our product team with multiple hires. We are looking for action-oriented, "AI native" leaders who can help a team execute efficiently in a highly ambiguous environment. Rather than forcing a one-size-fits-all role, we will align your specific product portfolio with your unique superpowers. Whether your strength lies in building robust developer platforms, scaling global developer communities, or productizing frontier AI research, you will play a pivotal role in redefining how the industry evaluates AI.

Key responsibilities:

• Lead Product Vision: Drive the strategy and execution for a core pillar of Kaggle's AI evaluation portfolio, whether that is unifying our AI Evals Platform, scaling top-of-funnel growth, or expanding our agent arena offerings.
  
  
• Champion the Developer Experience: Design intuitive, scalable workflows that balance ease-of-access with research-grade quality, enabling developers and researchers to seamlessly publish, test, and rank agentic systems.
  
  
• Scale the Ecosystem: Launch strategic features, integrations, and partnerships that meet developers where they are, expanding Kaggle's reach and influence across the global AI community.
  
  
• Productize the Frontier: Identify emergent AI evaluation trends and novel paradigms, translating them into scalable platform features that act as a "north star" for the industry.
  
  
• Drive Internal & External Impact: Partner cross-functionally with Google teams and external frontier labs to ensure Kaggle’s aggregate signals directly inform and accelerate foundation model development.
  
  
• Build Sustainable Systems & Business Models: Address complex platform scaling challenges, such as implementing flexible compute options to support compute-heavy agentic evaluation workloads.

About You

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

Requirements 

• 7+ years of product management experience, with a proven track record of successfully shipping and scaling complex, highly technical software products.
• 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.
• Demonstrated experience building developer-facing tools, APIs, SDKs, or platform ecosystems that require an obsession with Developer Experience (DX).
• Comfort with ambiguity and the ability to define product direction in a fast-moving, novel space.

In addition, the following would be an advantage: 

• Strong existing network or previous experience working directly with top-tier AI labs, research organizations, or open-source AI communities.
• Expertise in community growth loops and creator-consumer flywheels, including measuring user journeys and scaling developer engagement.
• Proven success in commercialization or unit economics for large open-source or developer ecosystems.

The US base salary range for this full-time position is between $192,000 USD - $278,000 USD + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.

Application deadline: March 24, 2026 

Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy

At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

Snapshot

This is an exciting opportunity to join Google DeepMind and play a key role in shaping the future of the Gemini App!  As a Technical Program Manager, you'll drive the strategy and execution of high-impact Gemini launches across web, mobile, and iOS platforms. You'll be working directly with our Engineering, Product and UX teams and other GDM units on cutting-edge language models to deliver groundbreaking solutions to a massive user base. This role offers hands-on project leadership, the opportunity to build innovative features, and make a real difference in how people interact with AI. Join our dynamic, fast-paced, and startup-like environment where you'll be constantly pushing the boundaries of what's possible with AI.

About Us

Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.

The Role

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.

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:

• 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

In addition, the following would be an advantage: 

• Master’s degree in Computer Science or a related field, or equivalent practical experience
• 10+ years of experience in technical program management, with a proven track record of leading complex, cross-functional programs from inception to launch
• Experience working in a fast-paced, dynamic environment (e.g., startup) with a bias toward action
• Proven experience shipping successful products or features to consumers, showcasing a deep understanding of user needs and the ability to translate them into tangible results

The US base salary range for this full-time position is between $183,000 USD - 271,000 USD + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.

Application deadline: 12pm GMT Friday 27th February 2026

Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy

At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

Snapshot

Join Google DeepMind as a Staff AI Product Designer on the Gemini App team, crafting world-class Gemini experiences for the home. This is a unique opportunity to be at the cutting edge of AI interface experimentation, tackling ambiguous, high-impact design challenges. You will be instrumental in inventing novel interaction patterns and rich multimodal experiences that help users get the most out of AI into their daily lives within communal and shared environments.

About Us

At Google DeepMind, we aim to unlock state-of-the-art artificial intelligence capabilities across Alphabet, creating positive impact and magical product experiences for billions of users. We're a world-leading AI research company, pushing the boundaries of what's possible with artificial intelligence. Our groundbreaking research spans areas like machine learning, neuroscience, and systems engineering, with applications ranging from scientific discovery to creating more helpful and intuitive products. We're committed to developing AI responsibly and ethically, and we foster a collaborative and inclusive environment where brilliant minds come together to tackle some of the world's most challenging problems. Join us and be part of a team that's shaping the future of AI.

Role

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.

The US base salary range for this full-time position is between $178,000 USD - $265,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.

Application deadline: 

Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy

At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

Snapshot

The Gemini App Design team is instrumental in building the Gemini Universal Assistant, the conversational AI that people around the world use to collaborate with generative AI to fuel their imagination, expand their curiosity, and enhance their productivity. We're building innovative ways for people to get things done & enrich their lives. Our Design team is dedicated to developing the world's useful generative AI experiences.   

About Us

At Google DeepMind, we aim to unlock state-of-the-art artificial intelligence capabilities across Alphabet, creating positive impact and magical product experiences for billions of users.  We're a world-leading AI research company, pushing the boundaries of what's possible with artificial intelligence. Our groundbreaking research spans areas like machine learning, neuroscience, and systems engineering, with applications ranging from scientific discovery to creating more helpful and intuitive products. We're committed to developing AI responsibly and ethically, and we foster a collaborative and inclusive environment where brilliant minds come together to tackle some of the world's most challenging problems. Join us and be part of a team that's shaping the future of AI.

Role

We are 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.  You will play a crucial role in shaping the future of how people interact with AI. You will be involved in all aspects of the design process, from conceptualization and ideation to prototyping and implementation in a fast-moving and highly collaborative environment.

Responsibilities:

• 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

The US base salary range for this full-time position is between $178,000 USD - $265,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.

Application deadline: 

Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy

At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

About the Team

Our team, GeminiApp, is on a mission to build a universal AI assistant that will empower billions of people. We are creating a personal, proactive, and powerful life assistant that will be used multiple times a day to increase productivity and creativity by 10 to 100-fold. Our work is shaping how humanity interacts with AI at scale.

About the Role

As a Data Scientist lead on the GeminiApp team, you are a key partner and co-creator in our product strategy while managing a growing team. You will be instrumental in building a uniquely proactive and powerful assistant by ensuring our strategic decisions are grounded in data. This is a high-impact role for a data scientist who is excited about working in a fast-paced, innovative environment and who is passionate about building user-centered experiences that will redefine our relationship with technology.

What You’ll Do

• Partner with PM, engineering, and UX leadership to develop data-driven product strategies across various areas of GeminiApp
• Translate ambiguous questions into well-defined problems, design experiments, and analyze 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 personalize 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

What We're Looking For

• A bias for action and a relentless drive to build something great. You are a resourceful and creative problem-solver, able to find innovative solutions in a fast-paced and dynamic environment. You are comfortable with ambiguity and thrive on a challenge.
• Strong business acumen and a strategic mindset. You have a proven ability to connect data-driven insights to business impact and can effectively translate business needs into data science problems.
• Deep technical expertise. You have a strong foundation in statistical modeling, machine learning, and experimental design. You are proficient in SQL and have hands-on experience with a programming language like Python or R.
• Exceptional communication and presentation skills. You can articulate complex technical concepts to both technical and non-technical audiences, including executive leadership. You are a compelling storyteller who can use data to influence decisions.
• A collaborative and influential partner. You have a track record of successfully collaborating with and influencing cross-functional teams, particularly engineering and product management, to drive data-informed decisions. You are ready to work in an environment with a shared roadmap that holds multiple teams accountable for both model quality and feature adoption.
• A commitment to user trust and privacy. You understand the importance of telling users what data is being used and why, and you are committed to providing users with granular, easy-to-understand controls over their personal information.
  
  

Why You'll Love Working Here

• Impact: You'll have a direct and meaningful impact on a product designed to empower billions of people and be one of the greatest forces for good in the world.
• Growth: We're a fast-growing team within Google, and you'll have the opportunity to evolve quickly to meet changing user needs.
• Team & Culture: You'll work with a talented and passionate team of people who are excited about what they do and have fun doing it.

The US base salary range for this full-time position is between $248,000 USD - 349,000 USD + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.

Application deadline: 28 February 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 ourApplicant and Candidate Privacy Policy

At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

Snapshot

The Strategic User Segments 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. As a Software Engineer on this team, you will build full-stack integrations to the GeminiApp platform, shipping exciting new features quickly from concept to launch.

About Us

Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.

The Role

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. 

What makes this job unique at Google?

• Working on bleeding-edge technologies
• Direct impact on a large user base
• Startup like experience - working on product in early stages, high ownership and visibility

Key responsibilities: 

• Demonstrate technical leadership in building innovative features for the target users
• Lead the full-stack implementation, from front-end, back-end, to the model, to deliver high quality products 
• Collaborate with researchers to understand cutting-edge innovation in generative AI, and apply it to the app
• Conduct in-depth data analysis to identify headroom for the feature, and develop a strategy to design and implement solutions to improve the quality
• Collaborate with partner teams to enable Gemini features in all languages

About You

We are looking for an individual who balances the need for speed with the discipline of building scalable, maintainable systems. You are a problem-solver who thrives in ambiguity and can rapidly iterate on evolving requirements to build robust full-stack feature integrations. You value code quality and operational excellence, and you foster a collaborative environment where technical knowledge is shared and the team succeeds together. To succeed in this role, you will need: 

• Bachelors or Masters degree in computer science or related technical field
• 10+ years of experience with software development in one or more programming languages, and with data structures/algorithms.
• 5+ 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.
• Strong communication and teamwork abilities.

In addition, the following would be an advantage: 

• Proven experience in mobile software development
• Interest in LLMs and adapting AI technologies for different user groups.
• Ability to thrive and prioritize effectively in a fast-paced, dynamic environment with multiple stakeholders
• Prior experience working with product teams

The US base salary range for this full-time position is between $166,000 - $244,000  + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.

Application deadline: 

Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy

At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

Snapshot

Artificial Intelligence could be one of humanity’s most useful inventions. At DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority

The Role

We are looking for a Technical Program Manager to lead critical initiatives across Modeling, Data, Evaluations, and User Signals for the Antigravity team. You will play a key role in enhancing our models and product by managing the end-to-end lifecycle of data contributions, model development, evaluation processes, and feedback loops. This role involves close collaboration with research teams, managing custom model pipelines, analyzing user signals from multiple sources, and overseeing vendor-based testing.

Key responsibilities:

• Antigravity Data Flywheel Owner: Drive the roadmap on data, evaluations, and modeling improvements to core models, features, and new use cases in collaboration with the Antigravity research teams. Manage the evaluation process for new and existing models, and provide feedback to the modeling and research teams. Partner with modeling teams to ensure seamless handoffs and coordination of data and evaluation analysis.
• Model Deployments: Manage approval processes working closely with the research and engineering teams as well as cross-functional stakeholders to successfully develop and launch models.
• User Signals Program: Establish and refine systems for collecting, triaging, and analyzing both internal and external user feedback to ensure resolution of high-priority issues. Coordinate with vendors for product testing and report on key findings to the engineering and product teams.
• Enable Engineering and Research Team Velocity: Manage compute resources for modeling efforts and support team infrastructure needs. Act as a point of contact for resolving technical issues for the team.

About You

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

• Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
• 5 years of experience in a technical program management role in a research environment.
• Experience working with machine learning models, data pipelines, and evaluation processes.
• Strong analytical skills and experience with data analysis.

In addition, the following would be an advantage: 

• Master’s degree or PhD in Computer Science or a related technical field.
• 8+ years of relevant work experience in a technical environment.
• Experience working on end-to-end model flywheel processes, including data collection strategies, model evaluation techniques, and metrics.
• Experience working with modeling research teams, including managing model training and deployment processes.
• 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 in ambiguous, fast-paced R&D environments.

The US base salary range for this full-time position is between $156,000 - $229,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.

Application deadline: 12pm PST Tuesday 13th January 2026

Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy.

At DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, maternity or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

Snapshot

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

We are seeking a Technical Program Manager to drive product development and launches for key products, including Antigravity. You will be responsible for orchestrating complex launch processes, managing cross-functional dependencies, and ensuring successful adoption of cutting-edge tools and features across Google and externally. 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:

• Antigravity Product Launches: 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.
• Cross-Team Coordination: 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.
• User Engagement and Community Building: 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.
• Product Metrics & Reporting: 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.

In addition, the following would be an advantage: 

• 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.

The US base salary range for this full-time position is between $156,000 - $229,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.

Application deadline: 12pm PST Tuesday 13th January 2026

Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy.

At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

Snapshot

The Gemini App UX team is instrumental in building Google’s universal assistant that people around the world use to collaborate with generative AI to fuel their imagination, expand their curiosity, and enhance their productivity. We're building innovative ways for people to get things done & enrich their lives. The UX team is comprised of product designers, UX researchers, UX writers, conversation designers, and program managers, a team dedicated to developing the world's useful generative AI experiences.  

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. If you are a strategic operator who thrives on bringing order to complexity and amplifying the impact of a creative team, there is no more exciting place to be.

About Us

At Google DeepMind, we aim to unlock state-of-the-art artificial intelligence capabilities across Alphabet, creating positive impact and magical product experiences for billions of users.  We're a world-leading AI research company, pushing the boundaries of what's possible with artificial intelligence. Our groundbreaking research spans areas like machine learning, neuroscience, and systems engineering, with applications ranging from scientific discovery to creating more helpful and intuitive products. We're committed to developing AI responsibly and ethically, and we foster a collaborative and inclusive environment where brilliant minds come together to tackle some of the world's most challenging problems. Join us and be part of a team that's shaping the future of AI.

The Role: What You'll Do

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.
  
  

What You'll Bring

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.

The US base salary range for this full-time position is between $178,000 - $265,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.

Application deadline: 

Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy

At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

Research Scientist - Gemini Personal Intelligence

Mountain View, California, US

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.

About Us

Our team drives the Personal Intelligence research behind Gemini, with a mission to make AI more personal, proactive, and context-aware. You will push the boundaries of Large Language Models (LLMs) to build the brain of the world’s most helpful personal assistant—one that securely integrates with users' personal data to solve real-world problems. Our core research focus areas include:

• Personalization: Inferring and adapting to user intent, preferences, communication styles, etc.
• Context: Reasoning over extensive personal history (e.g., Gmail, Photos, Drive) across diverse modalities (Text, Image, Audio, Video).
• Agency: Empowering AI models to autonomously plan, use tools, and execute complex tasks on behalf of the user.

The Role

As a Research Scientist for Gemini Personal Intelligence, you will advance the state-of-the-art in understanding and reasoning to create an AI that truly understands, remembers, and adapts to the user's unique life and context. Key responsibilities for this role:

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

About You

We are seeking a Research Scientist who can drive new research ideas from conception and experimentation through to productionisation. In this rapidly shifting landscape, we regularly invent novel solutions to open-ended problems. You should be flexible, adaptable, and comfortable pivoting when ideas don’t work out.

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

• 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:

• Hands-on experience with modern post-training methods (SFT, RLHF, etc.).
• Prior work applying LLMs to personalization, memory, or agentic workflows.\

What We Offer

At Google DeepMind, we want employees and their families to live happier and healthier lives, both in and out of work, and our benefits reflect that. Some select benefits we offer: enhanced maternity, paternity, adoption, and shared parental leave, private medical and dental insurance for yourself and any dependents, and flexible working options. We strive to continually improve our working environment, and provide you with excellent facilities such as healthy food, an on-site gym, faith rooms, terraces etc.

We are also open to relocating candidates to Mountain View and offer a bespoke service and immigration support to make it as easy as possible (depending on eligibility).

The US base salary range for this full-time position is between $141,000 USD - 244,000 USD + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.

Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see ourApplicant and Candidate Privacy Policy.

Snapshot

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.

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. Unlike traditional red teams, we operate with extreme agility, embedding directly with product teams as both a consulting partner and an exploitation arm. We rely on Google Core for foundational system-level protections, allowing us to focus exclusively on model and agent-layer risks. Through rapid-response security engineering and the development of "Auto Red Teaming" techniques, we turn immediate findings into robust defensive strategies.

The Role

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. You will drive the evolution of AI safety by bridging manual exploration with automated regression pipelines, ensuring non-deterministic risks are identified, measured, and mitigated before deployment.

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

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.
• 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. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.

At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

About Us

Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.

The Role

This 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.

This role requires someone who is comfortable driving innovation in a space where foundational AI technologies and user needs are co-evolving rapidly. By leveraging cutting-edge large language models (LLMs), you will contribute to the advancement of generative AI technologies, enabling them to serve as intelligent assistants, researchers, collaborators, and coaches on the go.

We're already seeing the profound impact Gemini is having on device experiences, with recent launches and announcements including:

• "Gemini on the Galaxy Watch 8 Made Me a Believer": https://www.cnet.com/videos/gemini-on-the-galaxy-watch-8-made-me-a-believer/
• "Gemini in cars might be the most impressive AI integration yet": https://9to5google.com/2025/05/28/gemini-in-cars/
• "I just tried Google’s smart glasses built on Android XR — and Gemini is the killer feature": https://www.tomsguide.com/computing/smart-glasses/i-just-tried-googles-smart-glasses-built-on-android-xr-and-gemini-is-the-killer-feature

This role offers the opportunity to make a profound impact by creating an AI experience that deeply understands and supports individual user needs and ambitions, moving beyond traditional screens to deliver contextual and seamless interactions. This is especially critical as product-market fit for novel LLM-powered experiences on devices is still emerging, requiring keen insight to translate subtle user needs into intuitive, hands-free, and integrated AI solutions. You will work with a talented team passionate about pushing the boundaries of what's possible in conversational AI. If you're excited about shaping the future of human-AI interaction and developing innovative products that seamlessly integrate into users' daily lives across a multitude of devices, this is your chance to be at the forefront of this transformative field.

Key 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 organizational mission and evolving user needs
• Develop and prioritize product requirements by synthesizing 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 behaviors 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 organizational 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

About You

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

• 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 behaviors, 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

In addition, the following would be an advantage: 

• 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

The US base salary range for this full-time position is between $183,000 - $271,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.

Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy

At DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, maternity or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

Snapshot:

As Director of Product Management for Robotics you will provide overall Product leadership for DeepMind’s Robotics program. You'll be responsible for setting the holistic product strategy for our Gemini powered robotic systems, driving product roadmap execution, and cultivating a robust ecosystem. This is a unique opportunity to shape the future of intelligent robotics and push the frontier of our capabilities and end product offerings. 

About Us:

Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.

Key Responsibilities: 

As the Director of Product Management for Robotics, you'll provide comprehensive product leadership, guiding the entire lifecycle of our robotic systems from concept to launch and beyond. You'll work closely with our Robotics Research and our Model teams to define and deliver cutting-edge products that integrate artificial intelligence and Gemini model capabilities to achieve enhanced functionality and autonomy.

• Product Vision & Strategy: Define and evangelize the long-term product vision and strategy for our robotics portfolio.
• Roadmap Development: Own the end-to-end product roadmap for robotics, prioritizing features, capabilities, and new product introductions based on market analysis, customer needs / use cases, and technological advancements.
• AI Integration Leadership: Help drive the integration of Gemini models and their capabilities into our robotic systems, identifying opportunities to enhance autonomy, perception, decision-making, and user interaction through intelligent algorithms and machine learning.
• Ecosystem Development: Build and nurture strategic partnerships with key technology providers, academic institutions, and industry players to expand our robotics ecosystem and unlock new capabilities.
• Market & Customer Insight: Identify unmet needs, use cases, emerging trends, and new business opportunities in the robotics space.
• Cross-Functional Leadership: Collaborate closely with Research, Program Management, and Marketing teams to ensure seamless product development, successful launches, and effective go-to-market strategies.
• Performance Measurement: Define and track key product metrics, utilizing data-driven insights to evaluate product performance, identify areas for improvement, and inform future product decisions.

Skills & Qualifications:

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

• Graduate degree in Robotics or Customer ScienceBachelor's degree in Engineering, Computer Science, Robotics, or a related technical field and a Masters degree in Robotics or Computer Science. 
• 10+ years of experience in product management, with at least 5 years in a leadership role focused on AI / Foundation models, robotics, or highly technical hardware/software products.
• At least 5 years of management experience, including managing senior PMs

In addition, the following would be an advantage:

• Demonstrated experience with robotic systems that leverage AI for enhanced functionality, autonomy, or intelligent behavior.
• Strong understanding of AI/ML concepts, frameworks, and their application in real-world robotic systems.
• Proven ability to define and execute product strategies, build detailed roadmaps, and successfully launch innovative products.
• Exceptional leadership and communication skills, with the ability to manage strategic partnership, influence cross-functional teams, and present complex technical information clearly to diverse audiences.
• Strong analytical and problem-solving skills, with a data-driven approach to product decisions.

The US base salary range for this full-time position is between $272,000 - $383,000 + 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.

At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

Snapshot

This is a critical and high impact strategic role that will drive AI strategy, infrastructure investments and AI product portfolio optimization across Google. The role sits within Google DeepMind’s Technology Strategy (TechStrat) function and is a leadership role within Techstrat’s Compute team. Since compute has become the key ingredient for AI model leadership, AI serving success and next generation AI research, this leader will drive high impact decisions that will define the success of Google, with implications on the future of AI for the world. 

About us

Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.

The role

As 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

Personally drive and amplify impact through leading a team to  

• Investigate and drive clarity on some of Google’s hardest long range strategic questions in AI
• Create new and partner with existing virtual teams across Google to create comprehensive product and policy plans that stand the test of time
• Model scenarios and various tradeoffs to create opinionated strategies for maximizing AI value and optimizing AI investments across Google
• Create SVP+ forum content (presentations, communications, mandates)
• Help develop a per-mandate monitoring view to keep programs accountable 
• Collaborate 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.
• Stay connected across Google to maintain a living catalog of ongoing experiments & proposed innovations that may become worthy of discussion at NRC
• Identify gaps in our processes and information and propose/implement solutions.

About you

Are you a PM who thrives as both a central hub orchestrating complex and long running investigations AND a rapid iteration IC who can quickly create something out of nothing and move on to the next thing? This is the job for you. In both cases, you must be able to concisely communicate the merits & risks of multiple scenarios in documents that will get circulated broadly and to some of the most senior folks at the company. If you have high energy, a positive attitude, strong tech judgment, excellent interpersonal skills, and are excited to handle complex pan-Google topics and SVP audiences, this job will offer an opportunity to have a massive company-wide impact.

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

• 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.

Snapshot

Support the analytical and operational frameworks that enable Leadership (SVP+) decision forums to govern compute utilization and planning. You will be responsible for translating complex data into the strategic insights that align DeepMind and Google’s broader AI strategy.

About Us

Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority

Key Responsibilities

• Investigative Modeling: Conduct rigorous, deep-dive investigations into Google’s hardest long-range strategic questions, providing the data-driven clarity needed for executive decision-making.
• Scenario Architecture: Model complex scenarios and trade-offs to surface opinionated strategies for maximizing AI value across Google.
• SVP+ Content Support: Contribute to the development of high-stakes presentations, communications, and mandates for SVP-level forums, ensuring technical accuracy and narrative flow.
• Cross-Functional Partnership: 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.
• Execution & Monitoring: Help maintain per-mandate monitoring views to keep programs accountable; collaborate with MLSA to ensure company-wide mandates are organized and delivering on goals.
• Strategic Cataloging: 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.

At DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, maternity or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

Application deadline: 13th Feb 2026

Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy.

Snapshot:

Artificial Intelligence could be one of humanity’s most useful inventions. At DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.

About Us:

This is a high impact role that will impact the efficiency of serving through very low precision and sparse models. Additionally, this role will help drive the future Google HW roadmap to support forward looking numerics. This role offers the unique opportunity to address a historically underserved but increasingly critical area in the advancement of AI.

The Role:

This high-impact position is responsible for deciding the precision, numerics, and sparsity formats used by key Google AI models and ensuring these decisions are reflected in the roadmaps for corresponding hardware. You will have the opportunity to influence the very architecture of Google's custom silicon for AI.

• Decide the precision, numerics, and sparsity formats used by production models
• Drive novel research advancements and bringing the most impactful ideas into production

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:

• PhD in Computer Science or related field with at least 2+ years of relevant experience.
• Strong software-engineering skills in addition to a research background
• Deep understanding of the numerics/quantization/sparsity literature 
• Practical experience driving low precision and sparse models through to production

Snapshot

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.

About Us

We are looking for Research Scientists to join the Robotics team whose 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.

The Role

Research Scientists work on a diverse and stimulating range of projects including: inventing algorithms and prototype applications, working with real robots in the lab and outside the lab tackling real world use cases. Research Scientists work in large collaborative teams to make cutting edge breakthroughs to advance Robotics AI. We believe large foundation models will transform general purpose Robotics like with our Gemini Robotics models. This role will involve working with a diverse multi-functional team that builds the future of robotics. 

Key responsibilities:

• Design, implement, train and evaluate large models and algorithms for robotic agents. Make breakthroughs and unlock new robot capabilities.
• Write software to implement research ideas and iterate quickly.
• Leverage your expertise to participate in a wide variety of research: 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.

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 a technical field or equivalent practical experience.
• Knowledge of the latest in large machine learning research. 

In addition, the following would be an advantage: 

• 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!

The US base salary range for this full-time position is between $166,000 - $244,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.

At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.