Deepmind jobs

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

Product and Business Strategy Principal, Gemini App, DeepMind Mountain View, CA, USA; +1 more Product and Business Strategy Leaders bring together teams across Google's functions to help products execute optimally. Our team pushes Google to scale at key points that refine our products and infrastructure by executing efficiently, bringing solid business sense and sound judgment, and working effectively across organizational lines. Our roles often include components of strategy (e.g. analyzing and understanding new trends in the industry, building business plans), operations (e.g. running the cadence of organizations, connecting the operating lines between our functions), and communications. Our team partners with senior leadership to run important functions that cross-cut our existing organizations and deliver high impact projects. We help Engineers, PMs, UX, and all of our other functions to build amazing products that delight our users, and then get those products into their hands. In this role, you will drive Gemini App holistic priorities (strategy development, ecosystem and competitive intelligence, GTM execution) and serve as the "central nervous system" for a specific area of the Gemini App product. You will lead high-impact priorities in close collaboration with stakeholders within Gemini App and across Google. You will move fast, maintain high signal-to-noise clarity, and manage significant breadth and depth to ensure the organization executes effectively. 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

Senior Software Engineer, Gemini Live, DeepMind New York, NY, USA; +1 more Be the go-to, top of mind multimodal Artificial Intelligence assistant destination for users who want to ask or show something to their Artificial Intelligence assistant. Build daily habits by delivering the sounding board, truly helping users who seek advice about family, school, or work. Enable Live to give lightning fast responses for simple information seeking questions, or go as deep as any expert on any topic for queries. Build out productivity experiences so Gemini Live can be an indispensable part of managing your day-to-day life. 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 . Write and test product or system development code. Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies. Review code

Senior Staff Software Engineer, Agentic Data Tooling, DeepMind New York, NY, USA; +2 more 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. Shape the future of AI by building the core infrastructure and tooling that powers Gemini's agentic capabilities. Through advanced data curation and creation, you will drive the development of next-generation evaluation frameworks: SmithBench: Our gold-standard benchmark testing whether AI agents can autonomously execute complex, end-to-end, first-party Google engineering workflows (such as CL lifecycles, bug investigations, and pipeline orchestration). RE-Bench: Our benchmark designed to measure agent performance on highly complex, long-horizon research engineering tasks. Whether you are designing environments to record programmatic agent-API interactions or building computer-control systems to capture real-time human and model trajectories, your tooling will deliver the foundational training and evaluation data that accelerates AI capabilities across models, harnesses,

Research Scientist, Gemini Retrieval and Agera, DeepMind Mountain View, CA, USA As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. 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

Technical Program Manager, Agentic Capabilities and Product Integration, DeepMind Mountain View, CA, USA A problem isn't truly solved until it's solved for all. That's why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at Google, you'll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You'll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers. 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: $256000 - $279000 (USD) + 20% bonus target + bonus + equity + benefits Learn more about benefits at Google . Scope, plan, and deliver complex technical programs that bridge core AI research with product integration,

Research Scientist, Gemini Vision, DeepMind Mountain View, CA, USA; +6 more As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. 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 different

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

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,

Software Engineer, Robin Core Experience on iOS, DeepMind Mountain View, CA, USA; +1 more As a part of the team building the Web, Android, and iOS Gemini app, one of the main ways users access the power of Large Language Model (LLMs) and collaborate with innovative developers, designers and UX professionals in small, fast-moving pods to create products used by millions. In this role, you will work side by side with Product and UX in a creative, self-sufficient environment, staying consistently ahead of the curve on development platforms, new functionality and APIs.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 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: $174000 - $253000 (USD) + 15% bonus target + bonus + equity + benefits Learn more about benefits at Google . Design, build, and deliver compelling new features for Gemini's applications, prioritizing both performance and seamless user experiences. Work closely with cross-functional teams (design, product, modeling specialists) to translate user needs into

Production Set Designer, Robotics, DeepMind Mountain View, CA, USA 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: $164000 - $240000 (USD) + 20% bonus target + bonus + equity + benefits Learn more about benefits at Google . Architect and execute scene staging for robotic data collection. Focus on set design and deployment, applying high-end production standards to robotic integration. Act as the primary liaison between researchers defining data goals, engineering teams integrating robotic work cells, and production teams managing staging logistics. Coordinate scene layouts with robot work cell configurations. Ensure environments are optimized for high-quality data capture while maintaining safe, efficient robotic operations. Manage inventory, scheduling, and logistics for all set components, props, and equipment. Monitor scene performance and data quality to pinpoint friction points. Identify bottlenecks in set design or integration and implement iterative, systemic improvements. Minimum qualifications: Bachelor's degree or equivalent practical experience. Certification in 5S or Six

Research Engineer, Gemmaverse Variants Research, 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. The Gemmaverse Variants program pursues and supports end-to-end research and landing of high-impact, specialized Gemma variants (e.g., C2SGemma, SignGemma, DolphinGemma), transforming pioneering ideas into beneficial, real-world solutions to human-scale problems. Our mission is to demonstrate the positive power of AI and establish Gemma as the definitive example of “what AI should be used for”, leveraging tight-knit collaborations across GDM units, Google, and external partnerships to develop breakthrough models. 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

AI Cybersecurity Team Lead, DeepMind Mountain View, CA, USA; +1 more As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. AI's cyberattack capability is increasing rapidly; recently, there have been a number of publicized zero-day exploits found with the help of AI in well-tested software. Our team's mission is to detect if users misuse an AI model for the purpose of a cyberattack, and on enabling the model to refuse gracefully in such cases. Given the dual use nature of AI tools, the goal of this project is to advance the model's ability to discern

Director, Engineering, Gemini on Devices, DeepMind Mountain View, CA, USA As the Director of Engineering for the Gemini Device Platform, you will lead the centralized hub responsible for pulling all on-device Gemini efforts together into a cohesive ecosystem. Reporting to the Senior Director of Engineering for Android & Chrome Integrations, you will oversee a specialized platform team and provide senior leadership for the multi-site devices organization. You are a platform visionary and a builder of organizations. You will move the organization beyond one-on-one integrations by establishing common APIs and shared componentry that allow Gemini to scale across Watch, TV, Auto, Glasses, and Buds with high velocity. 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: $307000 - $428000 (USD) + 30% bonus target + bonus + equity + benefits Learn more about benefits at Google . Drive the roadmap for shared on-device componentry, ensuring new form factors can be onboarded quickly. Build

Research Engineer, Agentic Security & Privacy Post-Training for Gemini, DeepMind Mountain View, CA, USA; +2 more 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 unblock the strongest and most helpful agentic GenAI capabilities in the real world, by making Gemini and other GenAI models as capable as highly experienced privacy and security engineers in handling sensitive user data and permissions. We work to make security and privacy improvements across all aspects of Gemini post-training. Agentic capabilities such as coding (e.g. Antigravity) and personal assistant (e.g. Gemini Spark) are introducing challenging security and privacy problems. Joining an experienced post-training team with a strong record on security and privacy improvements in Gemini, you will be directly responsible for building training data and techniques to ensure our most advanced agents are secure and privacy-respecting, without sacrificing strong, frontier model capabilities. Artificial intelligence will be one

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

Senior Product Manager, Robotics Security, DeepMind Mountain View, CA, USA; +1 more At Google, we put our users first. The world is always changing, so we need Product Managers who are continuously adapting and excited to work on products that affect millions of people every day. In this role, you will work cross-functionally to guide products from conception to launch by connecting the technical and business worlds. You can break down complex problems into steps that drive product development. One of the many reasons Google consistently brings innovative, world-changing products to market is because of the collaborative work we do in Product Management. Our team works closely with creative engineers, designers, marketers, etc. to help design and develop technologies that improve access to the world's information. We're responsible for guiding products throughout the execution cycle, focusing specifically on analyzing, positioning, packaging, promoting, and tailoring our solutions to our users. In this role, you will be the single-threaded product owner responsible for the strategy that addresses the full spectrum of threats against intelligent platforms, including command/instruction injection, model extraction and anti-distillation, and novel adversarial threats targeting autonomous reasoning engines. Your scope will also include defining the product roadmap for secure execution environments, end-to-end System Integrity, and developing the foundations for long-term scalable autonomy control. 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

Senior Product Manager, Gemini Internationalization Modeling, DeepMind Mountain View, CA, USA As a Product Manager for Gemini Modeling for Internationalization, you will own the core modeling roadmap to make Gemini a global engine. You will bridge the gap between research in pre-training, post-training, and reinforcement learning (RL) and consumer needs. You will drive the quality, evaluations, and data requirements for all internationalization modeling efforts, bridging core modalities and key product surfaces. This includes establishing a brand-new, scalable cross-lingual transfer playbook, driving upcoming launches for global activations, and shaping the unified helpfulness for Internationalization model-level evaluations. You will be highly technical and investigative, working directly with research and engineering teams to push the limits of what global AI can achieve. 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 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: $256000 - $279000 (USD) + 20% bonus target + bonus + equity + benefits Learn more about benefits at Google . Define next-generation internationalization evaluation suites

Senior Forward Deployed Deep Learning Architect, Generative AI Innovation Center Seoul, KOR Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation Center helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI. The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, define paths to navigate technical or business challenges, develop proof-of-concepts, and make plans for launching solutions at scale. The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost efficiently. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. We're looking for top architects, system and software engineers capable of using ML, Generative AI and other techniques to design, evangelize, implement and fine tune state-of-the-art solutions for never-before-solved problems. Key job responsibilities As a Deep Learning Architect, you will • Collaborate with AI/ML scientists and architects to research, design, develop, and evaluate generative AI solutions to address real-world challenges • Interact with customers directly to understand their business problems, aid them

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

Software Development Engineer - AI/ML, Amazon Neuron, Multimodal Inference Seattle, Washington, USA The Annapurna Labs team at Amazonbuilds AWS Neuron, the software development kit used to accelerate deep learning and GenAI workloads on Amazon's custom machine learning accelerators, Inferentia and Trainium. The AWS Neuron SDK, developed by the Annapurna Labs team at AWS, is the backbone for accelerating deep learning and GenAI workloads on Amazon's Inferentia and Trainium ML accelerators. This comprehensive toolkit includes an ML compiler, runtime, and application framework that seamlessly integrates with popular ML frameworks like PyTorch and JAX enabling unparalleled ML inference and training performance. The Inference Enablement and Acceleration team is at the forefront of running a wide range of models and supporting novel architecture alongside maximizing their performance for AWS's custom ML accelerators. Working across the stack from PyTorch till the hardware-software boundary, our engineers build systematic infrastructure, innovate new methods and create high-performance kernels for ML functions, ensuring every compute unit is fine tuned for optimal performance for our customers' demanding workloads. We combine deep hardware knowledge with ML expertise to push the boundaries of what's possible in AI acceleration. As part of the broader Neuron organization, our team works across multiple technology layers - from frameworks and kernels and collaborate with compiler to runtime and collectives. We not only optimize current performance but also contribute to future architecture designs, working closely with customers to enable their models and ensure optimal performance. This role offers a unique opportunity to work at the intersection

Applied Scientist, Neuron ARG, Annapurna ML Seattle, Washington, USA The Automated Reasoning Group in the Amazon Neuron team is looking for an Applied Scientist to work on the intersection of Artificial Intelligence and program analysis to raise the code quality bar in our state-of-the-art deep learning compiler stack. This stack is designed to optimize application models across diverse domains, including Large Language and Vision, originating from leading frameworks such as PyTorch and JAX. Your role will involve working closely with our custom-built Machine Learning accelerator, Trainium, which represents the forefront of innovation for advanced ML capabilities, and is the underpinning of Generative AI. In this role as an Applied Scientist, you'll be instrumental in designing, developing, and deploying analyzers for ML compiler stages and compiler IRs. You will architect and implement business-critical tooling, publish research, and mentor a brilliant team of experienced scientists and engineers. You will need to be technically capable, credible, and curious in your own right as a trusted AWS Neuron engineer, innovating on behalf of our customers. Your responsibilities will involve tackling crucial challenges alongside a talented engineering team, contributing to leading-edge design and research in compiler technology and deep-learning systems software. Strong experience in programming languages, compilers, program analyzers, theorem provers, and program synthesis engines will be a benefit in this role. A background in machine learning and AI accelerators is preferred but not required. Basic Qualifications: - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - Experience

Machine Learning Engineer, AWS Neuron Inference, Annapurna ML Seattle, Washington, USA AWS Neuron is the complete software stack for the AWS Inferentia and Trainium cloud-scale machine learning accelerators and the Trn2 and future Trn3 servers that use them. This role is for a software engineer in the Machine Learning Applications (ML Apps) team for AWS Neuron. This role develops, enables and performance tunes building blocks for all key ML model families, including Llama3, GPT OSS, Qwen3, DeepSeek and beyond. The Neuron Inference Technology team works side by side with the Inference Model Enablement, compiler runtime engineers to create, build and tune high-performance distributed inference solutions for the latest generation Trainium accelerators. Experience optimizing LLM inference performance with kernels, Python, PyTorch or JAX is a must. Key job responsibilities This team develops optimized building blocks for the Neuron distributed inference library, tuning them to ensure highest performance and maximize efficiency running on Trn2 and Trn3 servers. A day in the life As you develop technology components, you'll create metrics, implement automation and other improvements, and resolve the root cause of software defects. You'll also participate in design discussions, code review, and communicate with internal and external stakeholders. You will work cross-functionally with teams across Neufon in a fast-paced startup-like development environment, where we constantly stay on top of the latest priorities as the AI landscape evolves. About the team Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an

Software Development Engineer, AI/ML, AWS Neuron, Model Inference Cupertino, California, USA The Annapurna Labs team at Amazon Web Services (AWS) builds AWS Neuron, the software development kit used to accelerate deep learning and GenAI workloads on Amazon's custom machine learning accelerators, Inferentia and Trainium. The AWS Neuron SDK, developed by the Annapurna Labs team at AWS, is the backbone for accelerating deep learning and GenAI workloads on Amazon's Inferentia and Trainium ML accelerators. This comprehensive toolkit includes an ML compiler, runtime, and application framework that seamlessly integrates with popular ML frameworks like PyTorch and JAX enabling unparalleled ML inference and training performance. The Inference Enablement and Acceleration team is at the forefront of running a wide range of models and supporting novel architecture alongside maximizing their performance for AWS's custom ML accelerators. Working across the stack from PyTorch till the hardware-software boundary, our engineers build systematic infrastructure, innovate new methods and create high-performance kernels for ML functions, ensuring every compute unit is fine tuned for optimal performance for our customers' demanding workloads. We combine deep hardware knowledge with ML expertise to push the boundaries of what's possible in AI acceleration. As part of the broader Neuron organization, our team works across multiple technology layers - from frameworks and kernels and collaborate with compiler to runtime and collectives. We not only optimize current performance but also contribute to future architecture designs, working closely with customers to enable their models and ensure optimal performance. This role offers a unique opportunity to work