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.

The Role

We are seeking an experienced and hands-on Software Engineer for a fixed-term contract to join the Energy Grids team at Google DeepMind. In this individual contributor role, you will work at the cutting edge of power systems and machine learning, developing and deploying innovative AI solutions to optimize the operation of electrical power grids. Your work will be critical to delivering a real-world validation of our approach, with a primary focus on core software engineering tasks to:

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

Key Responsibilities

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

Minimum Qualifications

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

Preferred Qualifications

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

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

Snapshot

The Robotics Operations team is looking for a Technical Program Manager to support the Google DeepMind Robotics research organization by providing robot platforms, lab spaces, data collection and policy evaluation resources to solve "Embodied AI."

About us

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

The role

As a Technical Program Manager on the Robotics Operations team, you will apply program management methodologies to multiple research initiatives to accelerate Google DeepMind's Embodied AI goals in a safe and responsible way. 

Key responsibilities

• Partner closely with the data collection teams to establish and govern our internal data collection efforts.
• Partner closely with research teams to ensure seamless delivery of new evaluations and data collections.
• Ability to work with partners to advance and deliver cross-functional goals.
• Apply expertise in program management methodologies, tools, and relevant industry knowledge in Robotics to drive program success.
• Monitor and report on operational efficiency and resource utilization metrics.
• Oversee design and implementation of new environments for data collection or robot platform modifications with the Engineering team.
• Evaluate and improve processes, tools, templates and documentation for repeatability and sustainability.
• Implement processes and methodologies to reduce operational costs.
• Facilitate conversations, meetings and opportunities for collaboration to drive the best outcomes; create connections and relationships.

About you

The Technical Program Manager must thrive in a fast-paced environment and effectively manage cross-functional teams to deliver exceptional value to and accelerate Google DeepMind’s research through strategic cross-functional partnerships.

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

• Experience partnering with Research/Engineering leads on high impact, goal oriented, projects.
• Bachelor’s degree in an engineering discipline along with equivalent practical experience 5+ years .
• Demonstrated ability to improve processes, workflows, and governance models to enhance efficiency within development teams.
• Excellent technical understanding and communication ability, with the ability to distill sophisticated technical ideas to their essence.
• Experience in solving complex challenges, implementing scalable and sustainable solutions.
• Knowledge of, or curious to learn about AI/machine learning research.
• Familiar with hardware and software testing and associated safety protocol.

In addition, the following would be an advantage: 

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

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

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

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

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.

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're looking for talented Research Scientists to push forward fundamental research and technology in Artificial Intelligence, as part of our interdisciplinary and collaborative Reinforcement Learning team.

About Us

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

The Role

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

Your work may involve:

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

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

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

About You

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

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

In addition, the following would be an advantage:

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

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.

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’re looking for engineers and scientists to help accelerate our research in Artificial Intelligence as part of our mission to create the next generation of Generative AI technologies. Our team has a unique mandate: to work on speculative, longer-horizon research projects that, if successful, yield step-change improvements in the capabilities of our frontier models. We target paradigm-shifting ideas and are prepared to invest the time and resources necessary to achieve them. Our goal is to ideate, research, develop, validate, and integrate these improvements into major Google technologies.

Our primary research focus is Gemini Diffusion, our state-of-the-art text diffusion model. We believe that text diffusion has the potential to unlock a new paradigm in generative AI, offering unprecedented capabilities and lightning-fast latency. With strong backing from GDM leadership, our team is dedicated to thoroughly exploring and advancing this technology.

Our team is a multi-disciplinary group of engineers and scientists that work in close collaboration, leveraging our unique skills with a strong focus on building and shipping ground-breaking AI. We are a problem-focused team, meaning we are interested in any tool or idea that can solve a concrete problem, rather than being tied to a particular set of tools.

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 are looking for a Research Scientist to join our team in London and help us accelerate our mission. As a Research Scientist, you will apply your deep scientific knowledge and research skills to advance paradigm-shifting research at a large scale. You will be at the heart of our efforts to deliver step-changes in the capabilities of our frontier models, with a significant focus on our Gemini Diffusion project. You will work in a tight-knit and highly collaborative team environment that fosters fundamental research and technical innovation, giving you hands-on experience with improving state-of-the-art AI systems. As a team member, your work may involve:

• Brainstorming new disruptive ideas that could become the next generation of frontier AI models, particularly within the text diffusion space.
• Prototyping and developing these ideas with the rest of the team, contributing directly to Gemini Diffusion research.
• Solving key research challenges by designing and executing experimental research on text diffusion models, sharing analyses, and proposing next steps.
• Rigorously validating the theoretical and practical impact of our work at a large scale.
• Working collaboratively with other Generative AI teams to move the technologies we develop out of the lab and into production.
• Advancing the fundamental architecture, algorithmic design, and capabilities of large-scale diffusion models.
• Bringing deep scientific expertise into our projects. You will share your insights and knowledge with other researchers and engineers. We take scientific rigor seriously, and you will be a steward of that ethos.

About you

We take a holistic view of people's backgrounds and do not expect you to be an expert in all areas. We invest heavily in training and development, and continual learning is a key part of the role. In order to set you up for success as a Research Scientist at Google DeepMind, we look for the following skills and experience:

• Advanced degree in computer science, electrical engineering, science, mathematics, or equivalent experience.
• Academic research experience in machine learning, publications, or research experience in related fields.
• Experience with some or all LLMs, Transformers, Diffusion models, Text diffusion, Large-scale distributed training.
• Strong communication skills (via discussion, presentation, technical and research writing, whiteboarding, etc.).
• Programming experience, particularly with Python-based scientific libraries such as Numpy, Scipy, JAX, PyTorch, or TensorFlow.
• Deep familiarity with the machine learning, mathematics, and statistics needed to follow relevant research papers (linear algebra, calculus, etc.) and reason about cutting-edge innovations.
• Agile and solution-focused mindset - be prepared to work on anything!

We're also interested in any of:

• A track record of building software, either in open source or as part of a company product or research papers.
• Large-scale system design, distributed systems.
• Distributed computation for ML, especially in the context of accelerators (e.g., sharding, multi-host computation).
• C++ or broader programming experience.
• Data engineering and visualisation.

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 responsibly to benefit people in the physical world. This role is focused on ensuring safe humanoid robot actions spanning agentic reasoning, HRI scenarios, and physical safety with VLA models.

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 humanoid robots. 
• Make breakthroughs and unlock new humanoid safety capabilities. Areas of focus include:
• Algorithmic and model development to improve a robot agent's understanding of it’s own embodiment and VLA capabilities;
• Learned policies for appropriate responses around people, and responses in atypical situations such actuator faults; Human Robot Interaction
• 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. 
• Experience working with real-world robots

In addition, expertise with a subset of the following would be an advantage: 

• Research track record in one or more of the following topics: Humanoid Whole Body Control, Vision Language Action models; Motion Planning, Force Control, AI Safety, Diffusion Policies, World Models, Imitation Learning and Reinforcement Learning, Sim2Real Transfer, Alignment Techniques 
• Expertise in using large datasets with deep neural networks to make real robots useful

The US base salary range for this full-time position is between $141,000 - $202,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.

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

Research Scientist, AI-powered scientific discovery

Location: Montreal, Canada

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

We are looking for a Research Scientist to join our team in Montreal dedicated to AI for Scientific Discovery. Specifically, the team studies systems that combine code execution and retrieval tools with natural-language scientific knowledge to accelerate new scientific discoveries. Research includes, but is not limited to general purpose algorithms that leverage Large Language Model (LLMs) for efficient search and exploration, LLM fine-tuning with Reinforcement Learning, and open-ended tasks for large scale AI-powered empirical research.  

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

Research Scientists at Google DeepMind lead our efforts in developing novel algorithmic architecture towards the end goal of solving and building Artificial General Intelligence.

In this role, responsibilities will include making key contributions into the latest research developed in Google DeepMind Scientific Discovery effort, such as:

Key responsibilities

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

About you

You are a passionate and talented researcher with a strong foundation and a proven ability to conduct impactful research in AI. You embrace change and thrive under ambiguity. You have a collaborative mindset and are excited to work as part of a team to tackle ambitious research challenges. You are passionate about seeing your research translated into real-world products that improve the scientific discovery process of users. You are eager to see your research contribute to real-world applications and are driven by a desire to create positive change through AI.

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

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 Agents team at Google DeepMind India is driven by the mission of developing foundational capabilities in Large Models towards realizing AGI. We focus on uncovering emergent agentic behaviors through novel reinforcement learning algorithms run at scale.  

We also apply our research advances to Gemini and critical product launches in Google, touching the lives of hundreds of millions of users, and we are looking forward to doing more!

We are seeking a highly motivated and innovative Research Scientist to join our team in Bangalore, focused on advancing the state-of-the-art in autonomous agents  through reinforcement learning and ML optimization methods. You will conduct cutting-edge research on large language models (LLMs), focusing on the development of more capable, robust autonomous agents.

The Role

Research Scientists at Google DeepMind lead our efforts in developing novel algorithmic architecture towards the end goal of solving and building Artificial General Intelligence.

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

Key responsibilities:

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

About You

You are a passionate and talented researcher with a strong foundation and a proven ability to conduct impactful research in AI. You embrace change and thrive under ambiguity. You have a collaborative mindset and are excited to work as part of a team to tackle ambitious research challenges. You are passionate about seeing your research translated into real-world products that improve the lives of users and are eager to work in an environment where research has a direct path to product impact.  You are eager to see your research contribute to real-world applications and are driven by a desire to create positive change through AI.

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

In addition, the following would be an advantage: 

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

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 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.