Google DeepMind works to advance artificial intelligence for widespread public benefit and scientific discovery, focusing on safety and ethics.

Google DeepMind is at the forefront of artificial intelligence research, working to advance AI technology for widespread public benefit while maintaining a strong focus on safety and ethics. As an Analytics Engineer in the Core Analytics Team (CAT), you'll play a crucial role in shaping the future of AI research through data-driven insights and recommendations.

The position offers a unique opportunity to work on high-impact projects that directly influence AI research strategy. You'll be building sophisticated data models, developing scalable pipelines, and presenting insights to senior leadership. Recent projects include developing data-driven investment strategies, creating impact measurement frameworks, and implementing unified data flows.

The role requires a blend of technical expertise and strong communication skills, as you'll be working closely with both technical and non-technical stakeholders. You'll have the autonomy to drive projects independently while being part of a motivated team that tackles complex problems together. This position is particularly unique as it offers exposure to all facets of analytics, from data modeling to strategic decision-making.

As part of Google DeepMind, you'll be working in an environment that values diversity and innovation. The company offers competitive compensation, including a strong base salary, bonus, equity, and comprehensive benefits. You'll be based in California but work closely with the London team, offering a global perspective on AI development.

This is an exceptional opportunity for an experienced analytics professional who wants to contribute to groundbreaking AI research while developing their career in a supportive, challenging environment. The role combines technical depth with strategic impact, making it ideal for someone who wants to influence the future of AI while growing their professional capabilities.

Analytics Engineer role at Google DeepMind, building data foundations and providing insights to guide AI research strategy, 4+ years experience required.

Analytics Engineer

A team of scientists and engineers advancing artificial intelligence through research and development of LLMs and generative AI technologies.

Google DeepMind is at the forefront of artificial intelligence research and development, bringing together brilliant minds in science, engineering, and machine learning. We're seeking a Research Engineer to join our innovative team working on Large Language Models (LLMs) and generative AI technologies.

The role focuses on developing theoretically-founded methods for LLMs and advancing the state-of-the-art in AI. You'll work on large-scale sequence modeling, collaborating with researchers to transform innovative ideas into reality. The position requires expertise in Python, JAX/PyTorch, and deep understanding of neural networks and LLMs.

This is an exciting opportunity to work with cutting-edge AI technology at one of the world's leading AI research organizations. You'll be part of a team that values diversity, innovation, and scientific discovery, while maintaining a strong focus on AI safety and ethics. The role offers competitive compensation, comprehensive benefits, and the chance to work on projects that could significantly impact the future of AI technology.

The ideal candidate combines strong technical skills with excellent communication abilities, thrives in an ambiguous environment, and has a passion for AI advancement. You'll have the opportunity to work across the entire LLM stack, from pretraining to serving, and collaborate with world-class researchers and engineers.

Join us in our mission to advance AI for widespread public benefit and scientific discovery, while ensuring safety and ethics remain at the forefront of our work.

Research Engineer position at Google DeepMind focusing on developing next-generation LLM and generative AI technologies.

Research Engineer

A team of scientists and engineers advancing artificial intelligence for widespread public benefit and scientific discovery.

Google DeepMind is at the forefront of artificial intelligence research and development, focusing on advancing AI for widespread public benefit while prioritizing safety and ethics. We're seeking a Senior Machine Learning Engineer to join our Gemini team, working on developing safe, aligned, and helpful models across text, images, and audio modalities.

The role focuses on pushing boundaries in post-training pipeline innovations, including RLHF/RL*F for safety and alignment, developing scalable evaluation methods, and improving model understanding. You'll be working with state-of-the-art language models and contributing to critical safety and alignment challenges.

As a Senior ML Engineer, you'll collaborate with world-class researchers and engineers, prototype novel ideas, and implement advances in Gemini's production systems. The position requires strong technical expertise in machine learning, particularly in areas like generative AI and large language models.

The ideal candidate combines technical excellence with a passion for AI safety and alignment. You'll be part of a team that values diversity and creates extraordinary impact, working in a fast-paced environment where your contributions will directly influence the development of safer and more aligned AI systems.

Join us in shaping the future of AI technology while ensuring it remains beneficial and aligned with human values. This is an opportunity to work on cutting-edge technology while addressing one of the most important challenges in AI development - safety and alignment.

Senior Machine Learning Engineer position at Google DeepMind focusing on safety and alignment of Gemini models across multiple modalities.

Senior Machine Learning Engineer - Gemini Safety and Alignment

A team of scientists, engineers, and ML experts advancing artificial intelligence for widespread public benefit and scientific discovery.

Google DeepMind is seeking a Forward Deployment Engineer to spearhead the development and deployment of cutting-edge applications utilizing Google's generative AI models. This role sits at the intersection of advanced AI research and practical product development, offering a unique opportunity to shape the future of AI applications.

As a Forward Deployment Engineer, you'll be responsible for rapidly developing new features and working across partner teams to deliver high-impact solutions for Google and its top customers. The position requires a strong foundation in software engineering combined with extensive experience in machine learning and AI technologies. You'll be working with state-of-the-art generative AI models and translating research breakthroughs into tangible products.

The ideal candidate brings 8 years of software development experience, with particular expertise in ML infrastructure and deployment. You'll need to demonstrate proficiency in Python and various ML frameworks, along with experience in cloud computing platforms. The role offers an exciting opportunity to work in a fast-paced environment where you'll lead the architecture and development of new products from conception to production.

At Google DeepMind, you'll be part of a diverse team of scientists, engineers, and ML experts working to advance artificial intelligence for widespread public benefit. The company values diversity of experience and perspectives, creating an inclusive environment where innovation thrives. With a competitive compensation package including a base salary range of $189,000 - $300,000, plus bonus and equity, this role represents an exceptional opportunity to work at the forefront of AI technology while making a meaningful impact on the field.

If you're passionate about building innovative AI products and have a proven track record of delivering high-quality software solutions, this role offers the perfect platform to advance your career while contributing to groundbreaking developments in artificial intelligence.

Senior Forward Deployment Engineer position at Google DeepMind focusing on developing and deploying novel applications using generative AI models.

Forward Deployment Engineer, Applied AI

Google DeepMind develops cutting-edge machine learning models and AI technologies for widespread public benefit and scientific discovery.

Google DeepMind is at the forefront of artificial intelligence research and development, working to advance the state of the art in AI technology. As a Research Engineer, you'll be part of a diverse team of scientists, engineers, and ML experts working on cutting-edge projects like Imagen 3 and Veo. Based in Seattle, you'll collaborate with teams globally, especially Google PAs, to improve model performance and expand capabilities.

The role focuses on applying research ideas to real-world problems, involving everything from prototyping and dataset curation to system building and deployment. You'll work on exciting areas including generative media, multimodal understanding, model optimization, and reinforcement learning.

The ideal candidate should thrive in ambiguous environments and be adaptable to changing project needs. Your strong background in machine learning, particularly with diffusion models, combined with hands-on experience using frameworks like TensorFlow, JAX, or PyTorch, will be essential for success.

This position offers competitive compensation ($161,000 - $245,000) plus bonus, equity, and benefits. You'll be part of a company that values diversity and creates extraordinary impact through AI technology. The role provides an opportunity to work on projects from conception to implementation, contributing to technologies that benefit billions of Google users worldwide.

Research Engineer position at Google DeepMind working on cutting-edge ML models and AI technologies in Seattle.

A leading AI research company working on advanced machine learning and artificial intelligence solutions

Google DeepMind is seeking a Research Engineer to join their Media Understanding team, focusing on advancing state-of-the-art research in Embedding/representation models within large language models. This role presents a unique opportunity to work on the Gemini embedding project, a top priority initiative aimed at developing the most powerful omnimodal embedding model for retrieval and agentic use cases across Google products.

The position involves working at the intersection of research and practical implementation, where you'll be responsible for developing and productionizing next-generation models for multimodal understanding. You'll collaborate with a diverse team of research/software engineers, research scientists, and machine learning experts to create solutions that will impact billions of users worldwide.

Key aspects of the role include building various agentic Gemini demos, enhancing serving infrastructure for scalability, and working closely with product teams to implement and improve models based on real-world feedback. The ideal candidate should have either a Ph.D. in Computer Science or related field, or significant industry experience with machine learning and AI implementations.

This role offers competitive compensation ($182,000 - $215,000 plus bonus and equity) and the opportunity to work on cutting-edge AI technology that will shape the future of multimodal understanding. You'll be part of a team that values diversity of experience and perspectives, working in an environment that fosters innovation and impactful solutions for real-world challenges.

Senior Research Engineer position at Google DeepMind working on Gemini embedding and multimodal AI models

AI research company focused on advancing artificial intelligence for public benefit and scientific discovery.

Google DeepMind is at the forefront of artificial intelligence research and development, focusing on creating technologies that benefit humanity and advance scientific discovery. We're seeking an exceptional Software Engineer to join our Health and Wellbeing team, where you'll work on developing next-generation agentic systems and capabilities.

The role focuses on designing, prototyping, and expanding the cutting-edge Astra Agent, leveraging Gemini and Astra as foundational technologies. You'll be responsible for enhancing these systems with advanced modeling approaches, planning and reasoning capabilities, multi-agent architectures, memory integration, and other innovative features.

As a Senior Software Engineer, you'll drive system architecture, lead technical innovation, and bring visionary AI capabilities to life. Your work will directly impact human health and wellbeing through fast prototyping and scalable product solutions. The ideal candidate combines strong software engineering fundamentals with expertise in AI/ML technologies and a passion for healthcare applications.

Working at Google DeepMind means joining a diverse team of scientists, engineers, and machine learning experts united in advancing AI for widespread public benefit. You'll have the opportunity to shape the future of AI in healthcare, working with cutting-edge technologies and contributing to projects that could potentially improve millions of lives.

The position offers competitive compensation, including a base salary range of $189,000 - $300,000, plus bonus, equity, and benefits. Join us in our mission to ensure AI serves as a force for good while tackling some of healthcare's most challenging problems.

Senior Software Engineer role developing next-generation AI health agents using Astra and Gemini technologies at Google DeepMind.

Software Engineer - Health Agent

A team of scientists, engineers, and ML experts advancing artificial intelligence for public benefit and scientific discovery.

Google DeepMind is at the forefront of artificial intelligence research and development, working to advance AI for widespread public benefit and scientific discovery. This role is part of a ~10-person research engineering team focused on the Gemini project, a high-priority strategic initiative. The team specializes in reinforcement learning infrastructure, distributed systems, and accelerators, working collaboratively across multiple locations including the US, Canada, France, and UK.

As a Senior Software Engineer, you'll play a crucial role in unblocking progress in critical research challenges, from technical roadmap development to infrastructure implementation. The position requires expertise in building large-scale infrastructure for Deep Learning research, with a strong focus on accelerator optimization, training behavior analysis, and distributed systems development.

The ideal candidate will bring 8 years of software development experience, with at least 5 years specifically in research environments. You'll work with cutting-edge technologies like JAX and XLA stack, contributing to both infrastructure development and research advancement. The role offers competitive compensation ($189,000 - $350,000) plus bonus and equity, reflecting the high-impact nature of the work.

This is an excellent opportunity for someone who thrives in a collaborative, research-driven environment and wants to contribute to groundbreaking AI development. The position offers the chance to work with world-class researchers and engineers while helping shape the future of artificial intelligence technology.

Senior Software Engineer role at Google DeepMind focusing on Gemini research infrastructure, distributed systems, and AI development.

Senior Software Engineer - Gemini Research Infrastructure

Google DeepMind is at the forefront of artificial intelligence research and development, seeking a Research Engineer to join their dynamic team. This role presents an exceptional opportunity to work at the intersection of cutting-edge AI research and practical applications, with direct impact on Google/Alphabet products and services.

The position offers a unique blend of research and engineering, where you'll collaborate with world-class scientists and engineers to tackle complex challenges in AI. You'll be working on diverse projects spanning natural language processing, multimodal understanding, reinforcement learning, and generative AI, among others. The role is based in either London or Mountain View, offering a collaborative environment with state-of-the-art facilities.

As a Research Engineer, you'll be responsible for transforming theoretical concepts into practical solutions, conducting experiments, and developing prototypes that push the boundaries of AI technology. You'll work closely with various teams across Google/Alphabet, including Workspace, Cloud, Android, Assistant, Youtube, and Maps, ensuring that DeepMind's advanced ML algorithms create meaningful impact.

The ideal candidate should possess strong technical skills in Python or C++, deep knowledge of machine learning frameworks like TensorFlow, and experience with large-scale ML projects. You'll need to be comfortable with ambiguity and demonstrate flexibility in approaching problems, as the role often requires innovative solutions to unprecedented challenges.

Google DeepMind offers an attractive compensation package, including competitive salary, bonus, and equity opportunities. The company provides comprehensive benefits, including enhanced parental leave, private healthcare, and flexible working arrangements. They also support international candidates with relocation and immigration assistance, demonstrating their commitment to building a diverse, world-class team.

This role represents an extraordinary opportunity to contribute to groundbreaking AI developments while working with some of the brightest minds in the field. You'll be part of a company that prioritizes ethics and safety in AI development, focusing on creating technology that benefits humanity as a whole.

Research Engineer position at Google DeepMind focusing on applying ML models to real-world problems and advancing AI technology.

AI research company advancing artificial intelligence through scientific discovery and technological innovation

Google DeepMind is at the forefront of artificial intelligence research and development, working to create transformative technologies for widespread public benefit. This role focuses on building and exploring agent CUJs (Critical User Journeys) to create innovative user experiences. As a Senior Software Engineer, you'll work with cutting-edge LLM technologies, developing solutions that span from Android front-end development to server-side implementations.

The position involves working with a diverse team of scientists, engineers, and ML experts, contributing to projects like Project Astra. You'll be responsible for developing and implementing AI agent capabilities, working across the full stack from device-side front-ends to server back-ends and models. The role requires strong technical expertise in software development and a collaborative mindset to work effectively with interdisciplinary teams.

The ideal candidate will bring 5+ years of software development experience and a strong foundation in computer science or related field. Additional experience with ML systems integration, Google server development, and release processes would be advantageous. This is an opportunity to work on cutting-edge AI technology while ensuring safety and ethics remain at the forefront of development.

At Google DeepMind, diversity is valued and embraced, creating an inclusive environment where different perspectives contribute to extraordinary impact. The company offers competitive compensation, including a base salary range of $161,000 - $300,000, plus bonus, equity, and benefits, making it an attractive opportunity for those looking to make a significant impact in the field of AI.

Senior Software Engineer role at Google DeepMind focusing on AI agent development and implementation, requiring 5+ years of experience in software development.

Google DeepMind Engineering Jobs

Google DeepMind works to advance artificial intelligence for widespread public benefit and scientific discovery, focusing on safety and ethics.