FewerJobs.
Employers

Employer profile

DeepMind

69 open roles indexed with location, benefit, and apply-link signals where available.

ATS: google_custom

Open roles

Showing the most recent indexed roles for this employer.

Search all matching jobs

  • Staff Software Engineer, Gemini App, Data Engineering, DeepMind

    Mountain View, CA, USA; +2 more

    unspecified $207K-$301K 18 wk leave

    Staff Software Engineer, Gemini App, Data Engineering, DeepMind Mountain View, CA, USA; +2 more The Gemini Apps Data Engineering team architects and operates the data pipelines that deliver critical telemetry across all Gemini surfaces. We combine deep technical expertise with Google-scale operating experience to solve the unique data challenges inherent in building a transformative, global product during a time of massive growth! Gemini's user base is growing continuously and our traffic has sometimes even doubled just over the course of a week. In this role, you will provide the technical leadership necessary to scale our infrastructure. You will architect durable data products and drive critical engineering initiatives across multiple teams to ensure we continue delivering metrics and training data quickly, reliably, and accurately at a massive global scale. Leveraging your experience in building and running scalable systems, and utilizing modern data warehouse infrastructure at Google, you will lead a small team of executive and junior engineers to scale the data pipelines that drive Gemini Apps's analytics and power model and product improvement. You will work directly with key stakeholders, including our Data Science, model release, model quality, and feature teams, as well as teams across DeepMind, to identify and solve key problems to help make Gemini the next billion-user product. Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions

  • Research Scientist, Robotics, DeepMind

    Cambridge, MA, USA

    unspecified $147K-$211K 18 wk leave

    Research Scientist, Robotics, DeepMind Cambridge, MA, USA We believe there are many problems in the world in which robotics could play a significant role in making it easier, faster and safer for people to get things done. We're looking for roboticists, designers, hardware and software engineers to help us explore these possibilities, develop breakthrough technologies, and build new products that could help millions of people. At Google DeepMind Robotics, we are pioneering the integration of AI into the physical world to power an era of physical agents. By enabling robots to perceive, plan, think, use tools, and act, we empower them to solve increasingly tasks. In this role, you will focus on building foundation models, such as advanced vision-language-action (VLA) models, which combine Gemini's world understanding with physical actions to provide direct robotic control. These include Gemini Robotics, our most advanced Gemini model for the physical world, and Gemini Robotics On-Device, our fastest Gemini model that functions without a data network. These models allow robots to perform a broad range of tasks, respond interactively to their environment, achieve high dexterity, and reason over long, multi-step sequences. Beyond model building, we are committed to advancing general-purpose robotics, specifically in areas like agentic reasoning, real-world understanding, action generalization, human-robot interaction, dexterity, whole-body control, and continual learning. To deploy these innovations at scale, you will partner with key robotics companies to bring this intelligence to the physical world across a broad array of applications. Artificial intelligence will be one of humanity's most transformative

  • Talent Management Partner, DeepMind (Fixed-Term Contract)

    London, UK; +1 more

    unspecified $141K-$206K 18 wk leave

    Talent Management Partner, DeepMind (Fixed-Term Contract) London, UK; +1 more Artificial intelligence will be one of humanity's most transformative inventions. At DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve global issues and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer various learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $141000 - $206000 (USD) + 15% bonus target Learn more about benefits at Google . Craft and implement talent management strategies aligned with business objectives to boost talent engagement, career and performance. Collaborate closely across People and Culture (P&C), with Google counterparts, and executive leaders to assess talent needs and develop innovative, scalable talent solutions that deliver value without adding complexity. Leverage data and analytics to assess the impact of talent initiatives and make data-driven recommendations, in line with business priorities. Drive change management efforts related to talent initiatives, ensuring smooth adoption and integration into the organization. Function as a trusted thought partner, sharing industry insights to guide focus and decisions across talent and performance portfolio. Minimum qualifications: Bachelor's degree or equivalent practical experience. 6 years of experience in talent management, organizational development or HR. Preferred

  • Research Engineer, Embodied Agents, DeepMind

    Mountain View, CA, USA

    unspecified $174K-$253K 18 wk leave

    Research Engineer, Embodied Agents, DeepMind Mountain View, CA, USA 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. 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. At DeepMind Robotics, we are dedicated to solving physical AGI. We are a team of scientists and engineers working together to advance the artificial intelligence, ultimately enabling autonomous agents to safely act in complex, human-centered environments. You will build AI agents that can interact with, learn from, and adapt to their physical/digital environments. You will own the full lifecycle from research prototype to partner deployment advancing core learning systems, building the developer ecosystem, and working directly with partners to put intelligent robots into real environments. The defining issue: closing the gap between what our models can do in simulation and what our robots actually do in the world. This is a role where your work has physical presence the code you write moves robots, the systems you build help

  • Product Manager, Gemini API Models, DeepMind

    Mountain View, CA, USA

    unspecified $217K-$237K 18 wk leave

    Product Manager, Gemini API Models, DeepMind Mountain View, CA, USA The Gemini API and Google AI Studio have grown to support millions of developers and process trillions of tokens, becoming a critical part of how many of Google customers access our latest AI models. As the pace of model development accelerates with new Gemini generations, new modalities, tools, and consumption tiers, the process of bringing these models to developers is becoming both more complex and more consequential. Every model launch is an opportunity to strengthen the developer relationship and make our next generation of models better. As Product Manager, you will be the developer's advocate in the model development and release process, partnering closely with the Developer Experience (DevX) and Platform teams and multiple cross-functional Product Areas to ensure a unified release. Working closely with API and research teams, you will own the end-to-end model lifecycle on the Gemini API and Google AI Studio core UI surface. Starting with validating model capabilities and the API surface during our Early Access Program, you will ensure every model ships with sensible defaults, excellent tooling support, clear documentation, and a strong GTM strategy. You will be accountable for successfully landing the model via driving post-launch adoption, ensuring long-term developer success, and delivering sustained business impact. In this role, you will bring relentless developer empathy to model decisions, establish continuous developer feedback loops, and make sure developer signals shape what the research team builds next. Success means developers love how Gemini models show up

  • People and Culture Tech and Operations Partner, DeepMind (Fixed-Term Contract)

    London, UK

    unspecified Salary not disclosed 18 wk leave

    People and Culture Tech and Operations Partner, DeepMind (Fixed-Term Contract) London, UK 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. Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Lead management of complex, matrixed organizational frameworks to ensure seamless alignment with evolving business requirements. Identify and seize opportunities to transform manual processes into automated workflows that enhance GDM's effectiveness Advocate workforce data integrity, ensuring our records remain a single source of truth. Translate visionary business needs into precise, actionable specifications for Engineering to build long-term automated infrastructure. Identify system patterns that signal potential risks and implement solutions to address the underlying root causes. Minimum qualifications: Bachelor's Degree in Human Resources or equivalent practical experience. 6 years of experience in HR Generalist, HR Specialist or HR Consulting. Preferred qualifications: Experience in People Analytics and HR Engineering. Experience in Change Management for large-scale programs.

  • Research Engineer, Multi Agent Learning, DeepMind

    London, UK

    unspecified Salary not disclosed 18 wk leave

    Research Engineer, Multi Agent Learning, DeepMind London, UK 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. 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's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. 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). Build and maintain large-scale simulation platforms and end-to-end research pipelines to run experiments on

  • Research Strategist, Emerging Impacts Team, DeepMind

    Mountain View, CA, USA; +1 more

    unspecified $252K-$275K 18 wk leave

    Research Strategist, Emerging Impacts Team, DeepMind Mountain View, CA, USA; +1 more As an Emerging Impacts Manager, you will deliver tangible, grounded, and forward-looking intelligence for teams across DeepMind. Ultimately, you will advance our mission to develop Artificial General Intelligence (AGI) responsibly for the greater good of humanity. In this role, you will work with technical and operational teams at DeepMind to consider the potential downstream impacts of DeepMind's research and its applications. You will ensure that our work is conducted in line with ethics and safety best practices, helping DeepMind to progress towards its mission. You will build on your technical knowledge of AI models across various domains to assess their safety performance and real-world impact, sharing analysis to advise various DeepMind stakeholders, including our responsibility and safety council. Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $252000 - $275000 (USD) + 20% bonus target + bonus + equity +

  • Lead Software Engineer, Infrastructure Quality, Robotics, DeepMind

    Mountain View, CA, USA

    unspecified $262K-$365K 18 wk leave

    Lead Software Engineer, Infrastructure Quality, Robotics, DeepMind Mountain View, CA, USA We believe there are many problems in the world in which robotics could play a significant role in making it easier, faster and safer for people to get things done. We're looking for roboticists, designers, hardware and software engineers to help us explore these possibilities, develop breakthrough technologies, and build new products that could help millions of people. This is a dedicated Software Quality and Engineering Productivity leadership role. In this role, you will be an expert whose primary passion and career focus is building, owning, and scaling the quality of software releases and AI model validation on standard and custom hardware. You will play a major role in influencing the velocity at which our team solves Artificial General Intelligence (AGI) in the physical world. As our software and hardware infrastructure grows to support the increasing scale of robotics research, we need to continuously build and upscale our testing, reliability, validation, release strategy, and overall engineering productivity and velocity. Robotics infrastructure is uniquely difficult. You will be solving for non-deterministic hardware wear-and-tear, complex large-scale model deployment, fast inference, and the massive data requirements of AGI. You will be experienced with software quality and release strategy on custom or experimental hardware. Your work will directly determine how many iterations our engineers and scientists can run per day, week, and year, while holding a high quality bar. Artificial intelligence will be one of humanity's most transformative inventions. At DeepMind, we are

  • Administrative Business Partner, DeepMind (Fixed-Term Contract)

    London, UK

    unspecified Salary not disclosed 18 wk leave

    Administrative Business Partner, DeepMind (Fixed-Term Contract) London, UK Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Optimize the Chief AGI Scientist's schedule around high-impact priorities, mitigate complex conflicts, and execute seamless international travel itineraries. Act as the primary liaison, managing sensitive correspondence and strategically vetting all incoming requests for interviews, appearances, and high-profile events. Orchestrate internal and external meetings, workshops, and offsites by formulating strategic agendas and rigorously driving accountability on action items. Drive continuous improvement across team operations, streamlining administrative processes and optimizing budgets. Partner with leadership to run special projects that enhance the post-AGI Research team's efficiency, collaboration, and long-term impact. Minimum qualifications: Bachelor's degree or equivalent practical experience. 3 years of experience as an Administrative Business Partner, Executive Assistant, or similar role in a technology or international environment. Preferred qualifications: 3 years of administrative experience supporting executive-level management in a corporate environment, and managing small-scale projects and events from pre-planning to execution. Experience managing complex calendars and international travel. Experience supporting C-level executives or

  • Technical Program Manager, Science Automation, DeepMind

    London, UK

    unspecified Salary not disclosed 18 wk leave

    Technical Program Manager, Science Automation, DeepMind London, UK At DeepMind we seek to dramatically accelerate scientific discovery by achieving a higher throughput of experimental results and enabling fundamentally new kinds of science. The role will be to lead and shape complex programs in DeepMind's Science and Strategic Initiatives Unit, with a focus on the field of Science Automation, with a strong focus on lab automation in the domains of material science and life sciences. This is an opportunity to work with researchers in various fields, multi-disciplinary teams and external partners to shape this goal and bring our research breakthroughs to the real world. There will also be the opportunity to work on projects and processes spanning across the science and strategic initiatives unit. Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Drive end-to-end planning and delivery using project methodologies, agile boards, risk trackers, and budget management to track success against goals. Create clarity and resolve ambiguity by translating high-level strategic goals into detailed, actionable execution plans with

  • Senior Staff Research Scientist, Gemini Safety Post-Training, DeepMind

    Mountain View, CA, USA

    unspecified $262K-$365K 18 wk leave

    Senior Staff Research Scientist, Gemini Safety Post-Training, DeepMind Mountain View, CA, USA As models become more agentic, executing long-horizon tasks, using tools, writing and running code, operating across multi-step workflows, the challenge of making them safe fundamentally changes. Surface-level safety methods (output filtering, refusal tuning, policy guardrails) were designed for single-turn interactions. They are not enough for agents that plan, act, and adapt over extended horizons. We are looking for a Senior Staff Research Scientist to rethink safety post-training for this new reality. You will bring frontier post-training expertise, to develop training methods that make Gemini models deeply safe and aligned, especially in agentic settings. This role sits in Gemini Safety and partners closely with the Artificial General Intelligence (AGI) Safety team and the Gemini post-training organization. Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $262000 - $365000 (USD) + 25% bonus target + bonus + equity + benefits Learn more about

  • Product Manager, Math Agents, DeepMind (Fixed Term Contract)

    London, UK

    unspecified Salary not disclosed 18 wk leave

    Product Manager, Math Agents, DeepMind (Fixed Term Contract) London, UK As a Product Manager on the Science team, you will work directly with research scientists, engineers, and cross-functional product development teams to define the product strategy, goal, and execution for our math agents portfolio. In this role, you will play a critical role in building and scaling these agentic systems, bridging frontier research in automated reasoning and autonomous mathematical exploration with real-world mathematical issues. You will lead the development and deployment these systems, while also steering grand issues and research efforts across the broader maths space. You will sit at the intersection of research and product, and requires technical depth, strategic insight, an ability to navigate ambiguity, and an approach to prototyping and validation. Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Drive the product strategy, requirements, and execution for the math agents portfolio, guiding initiatives across agentic maths research and formal proving like AI co-mathematician, AlphaProof, AlphaProof Nexus, and more. Incubate new agentic capabilities and identify

  • Director, Data Science, Personalization, Gemini App, DeepMind

    Mountain View, CA, USA

    unspecified $384K-$428K 18 wk leave

    Director, Data Science, Personalization, Gemini App, DeepMind Mountain View, CA, USA As the Personalization Data Science Director for GeminiApp, you will be responsible for creating a personalized AI experience for our users. This critical role requires a leader capable of navigating novel and highly ambiguous problems in a fast-paced environment. You will drive a strategic shift in our operations, evolving our understanding of performance beyond isolated metrics to a holistic view that connects development directly to long-term product success. You will enable our product and engineering teams to release high quality features and move fast by developing personalization measurements and insights that drive user growth. Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $384000 - $428000 (USD) + 30% bonus target + bonus + equity + benefits Learn more about benefits at Google . Define and lead a strategic shift in personalization measurement, moving beyond isolated metrics to a holistic framework,

  • Robotics Hardware Industrialization Engineer, DeepMind

    Mountain View, CA, USA

    unspecified $212K-$231K 18 wk leave

    Robotics Hardware Industrialization Engineer, DeepMind Mountain View, CA, USA Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration. The Embodied Systems team is the new hardware-centric group within Deepmind Robotics. Our mission is to accelerate AI research in the physical domain through the world's most advanced robotics systems. You will be joining on the ground floor of our hardware operations, meaning your fingerprints will be on the processes, products and relationships that we forge. As a mechanically-capable Industrialization Engineer, you will join our robotic Engineering Operations team within Deepmind. The Industrialization Engineer bridges the gap between robotics research goal and scalable data collection in a laboratory environment. You will transform advanced research testing concepts into actionable designs and processes for our data collection humanoid laboratories. You will require collaboration with Research and Development, facilities, supply chain, and engineering teams to optimize robot operations, reduce costs, and optimize system reliability. You will be the first point of contact for any test cell design-related topics, and an authority on process control and DFM (Design For Manufacture)/DFX (Design For excellence) approaches. You will work with the engineering and development teams to define the functional hardware and processes that lead to a highly productive and scalable laboratory environment where a multitude of humanoid robots are operating,

  • AI Deployment Engineer, Organizational Engineer, DeepMind

    Mountain View, CA, USA

    unspecified $147K-$211K 18 wk leave

    AI Deployment Engineer, Organizational Engineer, DeepMind Mountain View, CA, USA At Google DeepMind our mission is to build the world's first general-purpose learning agent. Central to this mission is the complex task of measuring the intelligence of our prototypes. As a Software Engineer, you will be working with the cutting edge AI agents developed by our exceptional team of Machine Learning and Neuroscience research scientists. Your responsibilities will include everything from creating systems for agent testing using 2D and 3D games to developing test problems within physics simulators. You will create graphical visualization of results, build competitive agent leaderboards and test new algorithms on robots. To succeed in this role you will need to have a strong foundation in software engineering and enjoy working on a wide range of challenging problems within a mission-driven team. Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $147000 - $211000 (USD) + 15% bonus target

  • Research Engineer, Pretraining, DeepMind

    New York, NY, USA

    unspecified $174K-$253K 18 wk leave

    Research Engineer, Pretraining, DeepMind New York, NY, USA 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. 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's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $174000 - $253000 (USD) + 15% bonus target + bonus + equity + benefits Learn more about benefits at Google . Focus on

  • Administrative Business Partner, GeminiApp, DeepMind

    Mountain View, CA, USA

    unspecified $128K-$138K 18 wk leave

    Administrative Business Partner, GeminiApp, DeepMind Mountain View, CA, USA As an Administrative Business Partner, you are at the heart of your team's business operations and activities and the soul that keeps your team moving forward. You anticipate the needs of your managers and team members and help them stay focused on their projects by resolving operational and administrative issues before they arise. You move quickly with the changing environment and are up to date with the latest Google products and services. You also use that knowledge to strategically support your team's projects. In addition to being organized and analytical, you possess excellent business judgment and communication skills needed to interact with a variety of people and job functions. We are looking for a positive, resourceful, and collaborative team-player who can hit the ground running to join our fast-moving team. GeminiApp is an incredibly quick-moving, pivot-in-a-moment team with many opportunities for growth. The admin team is composed of hard-working, positive, and extremely supportive admins who enjoy what they do (and who all really like one another!) Artificial intelligence will be one of humanity'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. We are pushing the boundaries across multiple domains. Our global teams offer diverse learning

  • Senior Research Engineer, On-Device Inference, Robotics, DeepMind

    Mountain View, CA, USA

    unspecified $207K-$301K 18 wk leave

    Senior Research Engineer, On-Device Inference, Robotics, DeepMind Mountain View, CA, USA 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. 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. As a Research Engineer, you will lead the critical effort to adapt and optimize Gemini Robotics models for deployment in low-latency on-device applications. You will be driving strong alignment between specialized model architectures and edge device constraints. You will be articulating technical requirements and performance tradeoffs and influencing research and engineering teams across Google to deliver robust solutions. You will be passionate about the intersection of model optimization and hardware acceleration for use cases. You will possess deep knowledge of low-latency inference techniques across GPU, TPU, and CPU architectures and are skilled in collaborating across disciplines to achieve optimal system performance. Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing

  • Research Engineer, Benchmarking, Robotics, DeepMind

    Mountain View, CA, USA

    unspecified $147K-$211K 18 wk leave

    Research Engineer, Benchmarking, Robotics, DeepMind Mountain View, CA, USA 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. 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. Our mission is to bring advanced AI into the physical realm by building generalist robots that perceive, reason, and act naturally alongside humans. As a Research Engineer, you will manage the practical challenges of benchmarking foundation models for robotics. You will have an understanding of how modern robotics foundation models work and where they currently fall short. Your mission is to design evaluation protocols, tooling, and frameworks that extract meaningful signals from the messiness of physical policy execution. You will build the infrastructure that allows the engineering team to effectively hillclimb and gives leadership a clear, data-driven understanding of technological readiness. Artificial intelligence will be one of humanity's most transformative inventions. At DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to