Abrar Admin

DeepMind

<div>Note: By applying to this position you will have an opportunity to share your preferred working location from the following: <b>London, UK; Mountain View, CA, USA</b>.<h3 class="jobSectionHeader"><b>
Minimum qualifications:</b></h3><ul>
<li>Bachelor's degree in Computer Science, or a related technical field, or equivalent practical experience.</li>
<li>2 years of experience with software engineering involving Python-based ML/scientific libraries such as JAX or internship experience in these areas or Open Source Software (OSS) contributions.</li>
<li>1 year of experience with machine learning.</li></ul><br>
<h3 class="jobSectionHeader"><b>
Preferred qualifications:</b></h3><ul>
<li>Experience with large-scale system design, distributed systems, or performance engineering.</li>
<li>A good understanding of engineering best practices, codebase design, and testing.</li>
<li>Familiarity with how modern large language models are trained.</li>
<li>Ability to collaborate with, and communicate effectively with, people with different skill sets and needs, and who may be distributed across different time zones.</li>
</ul><div><h2 class="jobSectionHeader"><b>About the job</b></h2><p>
At Google, research-focused Software Engineers are embedded throughout the company, allowing them to setup large-scale tests and deploy promising ideas quickly and broadly. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.</p><p>
From creating experiments and prototyping implementations to designing new architectures, engineers work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. But you stay connected to your research roots as an active contributor to the wider research community by partnering with universities and publishing papers.</p>
<p>
Artificial intelligence will be one of humanity&rsquo;s most transformative inventions. At 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.</p><div>
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.</div>
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
<br>
<br>
US: $147000 - $210000 (USD) + 15% bonus target + equity + benefits<br>
<br>
Learn more about benefits at Google.</div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul>
<li>Work on long term projects to enable new research, which involve multiple team members and require good software engineering and design.</li>
<li>Respond to time-sensitive issues arising in large-scale training runs, and in ongoing research.</li>
<li>Make systematic improvements to technical workflows and tooling used across pretraining.</li>
<li>Apply engineering expertise to help researchers navigate technical challenges. This requires both a deep understanding of the codebase and a broad understanding of the tech stack, the model architecture and data pipeline.</li>
<li>Develop the right balance between good engineering practices and having a flexible codebase which researchers find easy to use and extend.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Research Engineer, Gemini Large Scale Pretraining, DeepMind

<div><h3 class="jobSectionHeader"><b>Minimum qualifications:</b></h3><ul>
<li>Bachelor's degree in computer science, electrical engineering, science, mathematics or equivalent experience.</li>
<li>2 years of experience in programming, specifically with Python-based scientific libraries such as JAX, PyTorch, TensorFlow, NumPy.</li>
<li>Experience in developing or implementing machine learning models in a production or research environment.</li></ul><br>
<h3 class="jobSectionHeader"><b>
Preferred qualifications:</b></h3><ul>
<li>Experience with large-scale system design, distributed systems.</li>
<li>Experience in data engineering and visualisation.</li>
<li>C++ or broader programming experience.</li>
<li>Academic research experience in machine learning, publications, or research experience in related fields.</li>
<li>Knowledge of distributed computation for ML, especially in the context of accelerators (e.g. sharding, multi-host computation).</li>
<li>Strong communication skills (via discussion, presentation, technical and research writing, whiteboarding).<br>
</li>
</ul><div><h2 class="jobSectionHeader"><b>About the job</b></h2>
At Google, research-focused Software Engineers are embedded throughout the company, allowing them to setup large-scale tests and deploy promising ideas quickly and broadly. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.<br>
<br>
From creating experiments and prototyping implementations to designing new architectures, engineers work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. But you stay connected to your research roots as an active contributor to the wider research community by partnering with universities and publishing papers.Artificial intelligence will be one of humanity&rsquo;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.<br>
<br>
We are pushing the boundaries across multiple domains. Our global teams offer various learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.</div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul>
<li>Determine how to run research methods with large-scale compute.</li>
<li>Optimize performance through engineering and benchmarking.</li>
<li>Solve key research challenges by designing and running experiments, sharing analyses and proposing next steps.</li>
<li>Integrate engineering expertise into research projects, sharing skills and knowledge with other engineers and researchers.</li>
<li>Design, build, and improve infrastructure for research.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Research Engineer, Continual Learning, DeepMind

<div><h3 class="jobSectionHeader"><b>Minimum qualifications:</b></h3><ul>
<li>Bachelor's degree in Computer Science, Physics, Mathematics, Chemistry, Engineering, a related field, or equivalent practical experience.</li>
<li>5 years of experience in machine learning, engineering, and software development using Python.</li>
<li>Experience with data structures or algorithms in an academic or industry setting</li></ul><br>
<h3 class="jobSectionHeader"><b>
Preferred qualifications:</b></h3><ul>
<li>PhD in a relevant scientific or computational field.</li>
<li>Experience in agentic AI and modern machine learning paradigms (e.g., diffusion, transformers, agentic tools, LLMs).</li>
<li>Knowledge of quantum computing concepts.</li>
</ul><div><h2 class="jobSectionHeader"><b>About the job</b></h2><p>
At Google, research-focused Software Engineers are embedded throughout the company, allowing them to setup large-scale tests and deploy promising ideas quickly and broadly. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.</p><p>
From creating experiments and prototyping implementations to designing new architectures, engineers work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. But you stay connected to your research roots as an active contributor to the wider research community by partnering with universities and publishing papers.</p>
<p>
As a Research Engineer on our Science Team, you will contribute to our Quantum Computing Initiative. This role is an excellent opportunity for a creative and driven engineer who truly burns for the immense possibilities of AI for Science.<br>
<br>
In this role, you will act as the crucial bridge between research and implementation, by seamlessly linking quantum computing research with ML. As an amazing team player, you will collaborate with domain experts in (quantum) computer science, mathematics, computational chemistry, physics, and machine learning.</p><p>
Artificial intelligence will be one of humanity&rsquo;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.</p><div>
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.</div></div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul>
<li>Deliver on complex research and engineering milestones, assuming end-to-end ownership of implementing and scaling ML solutions (traditional and agentic) at the intersection of quantum computing and machine learning.</li>
<li>Complement the algorithms development pillar by translating classical and quantum algorithms into robust code, balancing implementation time with efficiency, design simplicity, and sustainability.</li>
<li>Facilitate communication between research and engineering by advocating code readability, promoting engineering best practices, and writing effective design documents.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Research Engineer, Quantum Computing, DeepMind

<div>In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:<div><ul><li>
Health, dental, vision, life, disability insurance</li><li>
Retirement Benefits: 401(k) with company match</li><li>
Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment</li><li>
Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
</li><li>Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks</li><li>
Baby Bonding Leave: 18 weeks</li><li>
Holidays: 13 paid days per year</li></ul></div><br>
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: <b>Mountain View, CA, USA; New York, NY, USA; Seattle, WA, USA</b>.<h3 class="jobSectionHeader"><b>
Minimum qualifications:</b></h3><ul>
<li>Bachelor's degree in Cognitive science, Human-Computer Interaction (HCI), Linguistics,or a related field or or equivalent practical experience.</li>
<li>7 years of experience in Conversation Design, Content Design, with equivalent experience designing for conversational AI/LLMs.</li></ul><br>
<h3 class="jobSectionHeader"><b>
Preferred qualifications:</b></h3><ul>
<li>Experience in vibe-coding and developing AI-powered prototypes.</li>
<li>Experience in guiding cross-functional teams through ideation, validation, and iteration processes, transforming abstract ideas into shippable products.</li>
<li>Experience developing in a startup environment, comfortable with the ambiguity, rapid iteration, and resourcefulness required to deliver impactful designs in a fast-paced, evolving landscape.</li>
<li>Experience in interaction design.</li>
<li>Familiarity with behavioral data and strong capability to create data-driven designs, while being equally capable of moving forward in the absence of data.</li>
</ul><div><h2 class="jobSectionHeader"><b>About the job</b></h2><p>
We are seeking a highly experienced, visionary designer to shape the evolution of conversational AI from a passive responder into a proactive partner.
</p><div>As a senior member of the Gemini App Model UX team, you will collaborate with product managers, engineers, and research scientists to build end-to-end product experiences to improve people&rsquo;s engagement with Gemini across use cases. This is an opportunity to be a part of a team working on the latest technology with a collaborative and driven team.
</div><p>Artificial intelligence will be one of humanity&rsquo;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.</p><div>
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.</div></div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul>
<li>Apply deep understanding of model capabilities to guide prompt engineering and prototyping strategies, ensuring the delivery of consistently high-quality model outputs.</li>
<li>Initiate qualitative assessments of model performance, applying mastery of the eval process to develop a strategy for continuous quality hillclimbing.</li>
<li>Partner with AI product designers to craft leading-edge multimodal solutions, ensuring model responses and UI components work in concert to deliver cohesive, high quality experiences.</li>
<li>Stay current on the latest design trends and technologies, in consumer technology, generative AI and natural language processing, and leverage this knowledge to innovate.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Senior Staff Model UX Designer, GeminiApp, DeepMind

<div><h3 class="jobSectionHeader"><b>Minimum qualifications:</b></h3><ul>
<li>Bachelor's degree in Computer Science, Engineering, Data Science, related technical field, or equivalent practical experience.</li>
<li>5 years of experience leading engineering projects across multiple geographies and time zones.</li></ul><br>
<h3 class="jobSectionHeader"><b>
Preferred qualifications:</b></h3><ul>
<li>Experience in people management.</li>
<li>Experience in Large Language Model (LLM) evals, model training, model releases, or data science.</li>
<li>Ability to quickly learn and deeply understand the technical aspects of the programs from interface to infrastructure, serving, and customer issues, and drive technical discussions.</li>
<li>Excellent skills in managing complex stakeholder relationships.</li>
</ul><div><h2 class="jobSectionHeader"><b>About the job</b></h2><p>
Google's projects, like our users, span the globe and require managers to keep the big picture in focus while being able to dive into the unique engineering challenges we face daily. As a Technical Program Manager at Google, you lead complex, multi-disciplinary engineering projects using your engineering expertise. You plan requirements with internal customers and usher projects through the entire project lifecycle. This includes managing project schedules, identifying risks and clearly communicating them to project stakeholders. You're equally at home explaining your team's analyses and recommendations to executives as you are discussing the technical trade-offs in product development with engineers.<br>
<br>
Using your extensive technical and leadership expertise, you manage projects of various size and scope, identifying future opportunities, improving processes and driving the technical directions of your programs.</p>
<p>
Artificial intelligence will be one of humanity&rsquo;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.</p><div>
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.</div>
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
<br>
<br>
US: $217000 - $237000 (USD) + 15% bonus target + equity + benefits<br>
<br>
Learn more about benefits at Google.</div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul>
<li>Collaborate closely with the engineering team to support infrastructure development, meticulously track priorities, issues, deeply understand evaluation and experimentation results; coordinate alignment and, assessment with model teams.</li>
<li>Collaborate with data scientists to design and integrate model evals, execute evals, and conduct loss analysis to inform model quality.</li>
<li>Manage Gemini autorater platform and Gemini eval area compute capacity planning. Provide proactive status updates to stakeholders, and effectively triage autorater issues back to the modeling team.</li>
<li>Drive strategic goals and tactical delivery. Lead with high agency. Proactively identify workflow gaps and implement scalable improvements to optimize efficiency and output quality.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Technical Program Manager, Gemini Evals, DeepMind

<div>Note: By applying to this position you will have an opportunity to share your preferred working location from the following: <b>Mountain View, CA, USA; New York, NY, USA; Seattle, WA, USA</b>.<h3 class="jobSectionHeader"><b>
Minimum qualifications:</b></h3><ul>
<li>Bachelor's degree in Design (e.g., interaction, graphic, visual communications, product, industrial), Human-Computer Interaction, Computer Science, a related field, or equivalent practical experience.</li>
<li>8 years of UX/UI design experience for consumer-facing software across various platforms (web, desktop, mobile).</li>
<li>Include a portfolio, website, or any other relevant link to your work in your resume (providing a viewable link or access instructions).</li></ul><br>
<h3 class="jobSectionHeader"><b>
Preferred qualifications:</b></h3><ul>
<li>High proficiency in modern design tools (Figma) and AI-assisted workflow/prototyping tools (Cursor, Antigravity, Claude Code, etc.).</li>
<li>Strong capability to balance data-driven design with navigating ambiguity, alongside a passion for building ethical, accessible, and user-centered AI solutions.</li>
<li>Demonstrated expertise acting as a multiplier&mdash;guiding cross-functional teams (Engineering, PM, Research) through the zero-to-one lifecycle.</li>
<li>Expertise in prototyping complex, interactive, and multi-modal experiences using front-end development technologies (HTML/CSS/JS) or advanced Vibe Coding.</li>
<li>Experience driving product impact through close collaboration with user research, including expertise in methodologies specifically designed for evaluating non-deterministic AI products.</li>
</ul><div><h2 class="jobSectionHeader"><b>About the job</b></h2><p>
We are looking for a Staff UX Lead to advocate our 'Connected apps' experience. You will be part of the exceptional team turning Gemini into a true, interactive partner that understands people&rsquo;s goals and does real work to help achieve them.</p><p>
In this role, you won&rsquo;t just be designing features; you will be architecting the interaction model for the next generation of computing. You will act as a driver, not a passenger, owning end-to-end experiences that progress us towards autonomously productive AI. You are a relentless learner who thrives in fast-paced ambiguity and wants to shape the future of applied, agentic AI.</p><p>
Artificial intelligence will be one of humanity&rsquo;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.</p><div>
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.</div><div></div><div><br>
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.<br>
</div><div></div><br>
<div>US: $188000 - $275000 (USD) + 20% bonus target + equity + benefits<br>
</div><div></div><br>
<div>Learn more about benefits at Google.</div></div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul>
<li>Architect Agentic Experiences: Lead the UX strategy and interaction design for Gemini's Connected Apps, defining how users delegate life tasks so they can focus on what matters most.</li>
<li>Design for Personal Context: Create unparalleled, low-friction experiences that weave together user information across Google products and third-party services, while designing granular, easy-to-understand controls to maintain user trust.</li>
<li>User Obsession: Deeply understand what users think, feel, and want, using that empathy to obsess over every pixel, obliterate latency, and ensure users feel efficient, capable, and delighted.</li>
<li>Design for Probabilistic Systems: Apply deep systems thinking to create interfaces that gracefully handle the non-deterministic nature of AI, ensuring user trust, transparency, and control.</li>
<li>Modern AI Workflows: Utilize modern motion and prototyping tools alongside Vibe Coding tools (Cursor, Claude, Antigravity) to rapidly build, test, and iterate on complex interactive experiences.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Staff AI Product Designer, Automation, GeminiApp, DeepMind

<div><h3 class="jobSectionHeader"><b>Minimum qualifications:</b></h3><ul>
<li>Bachelor&rsquo;s degree in Computer Science or a related technical field, or equivalent practical experience.</li>
<li>5 years of experience in software development using Python or C++.</li>
<li>Experience in deep learning frameworks, such as JAX or PyTorch.</li>
<li>Experience in standard analysis and scientific computing libraries such as numpy, pandas, and matplotlib.</li></ul><br>
<h3 class="jobSectionHeader"><b>
Preferred qualifications:</b></h3><ul>
<li>PhD with a research focus on Machine Learning, Reinforcement Learning, or Multi-Agent Systems.</li>
<li>Experience training large-scale models on accelerators (TPUs, GPUs) in a distributed environment.</li>
<li>Experience working with language models such as designing agentic harnesses, memory retrieval, or fine-tuning.</li>
<li>A track record of leading complex software projects and a passion for enabling groundbreaking research through engineering.</li>
<li>Deep expertise building and optimizing complex systems in JAX.</li>
<li>A strong background in multi-agent reinforcement learning, algorithmic game theory, or computational economics.</li>
</ul><div><h2 class="jobSectionHeader"><b>About the job</b></h2><p>
At Google, research-focused Software Engineers are embedded throughout the company, allowing them to setup large-scale tests and deploy promising ideas quickly and broadly. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.</p><p>
From creating experiments and prototyping implementations to designing new architectures, engineers work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. But you stay connected to your research roots as an active contributor to the wider research community by partnering with universities and publishing papers.</p>
<p>
Artificial intelligence will be one of humanity&rsquo;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.</p><div>
We are pushing the boundaries across multiple domains. Our global teams offer learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.</div></div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul>
<li>Contribute to the creation of novel multi-agent learning algorithms and frameworks, with a focus on performance and scalability in Just-In-Time (JIT) compilation, Autograd, and XLA (JAX).</li>
<li>Build and maintain large-scale simulation platforms and end-to-end research pipelines to run experiments on Google DeepMind&rsquo;s cutting-edge infrastructure, including massive TPU pods.</li>
<li>Partner deeply with Research Scientists to transform mathematical concepts and research hypotheses into robust, production-quality code and reproducible experiments.</li>
<li>Lead the engineering direction for complex research projects, establish best practices for code quality and maintainability, and mentor junior engineers on the team.</li>
<li>Optimize every part of the research workflow, from data processing and model training to results analysis, to accelerate the pace of discovery.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Research Engineer, Multi Agent Learning, DeepMind

Join DeepMind and explore 7   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.