AI research company working on advancing artificial intelligence for widespread public benefit and scientific discovery

Google DeepMind is at the forefront of artificial intelligence research, working to advance AI for widespread public benefit and scientific discovery. We're seeking a Senior Research Engineer to join our team working on the cutting-edge Gemini project.

This role focuses on the critical task of inference-optimized model design for Gemini pretraining, requiring expertise in both theoretical machine learning and practical implementation. You'll be working with state-of-the-art Large Language Models (LLMs), focusing on optimizing architecture selection for fast inference while maintaining predictable quality.

The position demands a deep understanding of XLA primitives and practical experience with JAX on TPUs. You'll be involved in implementing various distillation techniques and curating datasets for model training. The role spans the entire LLM preparation stack, from pretraining to serving, requiring both technical depth and breadth.

We offer a competitive compensation package ranging from $136,000 to $300,000, plus bonus and equity. Our benefits include comprehensive medical and dental insurance, enhanced parental leave, and flexible working options. The role is based in New York City, with relocation support available.

The ideal candidate will thrive in an ambiguous environment, demonstrate flexibility in approach, and have a proven track record in machine learning and large-scale model development. You'll be joining a diverse team of scientists, engineers, and ML experts working together to push the boundaries of AI technology.

This is an exceptional opportunity to work on groundbreaking AI technology that could be one of humanity's most useful inventions. You'll be part of a team that prioritizes safety and ethics while collaborating on critical challenges in the field of artificial intelligence.

Senior Research Engineer role focusing on inference-optimized model design for Gemini pretraining at Google DeepMind

Research Engineer - Gemini Pretraining

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, seeking a Software Engineering Manager to lead their Multimodal Assistive Agents team in Tokyo. This role combines technical leadership with hands-on engineering, focusing on developing cutting-edge AI solutions using Gemini-powered multimodal assistive agents.

The position requires a unique blend of technical expertise in machine learning, leadership capabilities, and cross-cultural communication skills. You'll be working with state-of-the-art AI technologies, including large language models and multimodal systems, while leading a team of talented engineers and researchers.

As a manager, you'll be responsible for building and nurturing a high-performing team, driving technical strategy, and contributing to hands-on development. The role offers the opportunity to work on impactful projects in education, health, and gaming sectors, collaborating with global experts across Japan, the UK, and the US.

The ideal candidate should have a strong academic background (Master's or Ph.D.), extensive experience in software engineering and machine learning, and proven leadership skills. Knowledge of prompt engineering, post-training techniques for LLMs, and experience with major ML frameworks are highly valued.

This is an exceptional opportunity to shape the future of AI technology while working with one of the world's leading AI research organizations. You'll be part of a diverse, collaborative team committed to advancing AI for widespread public benefit and scientific discovery, with a strong focus on safety and ethics.

Lead a team developing cutting-edge multimodal assistive agents at Google DeepMind Tokyo, combining AI expertise with engineering leadership.

Software Engineering Manager, Multimodal Assistive Agents

Google DeepMind is at the forefront of artificial intelligence research, working to advance the state of the art in AI for widespread public benefit and scientific discovery. As a Software Engineer focusing on trustworthy ML, you'll join a mission-driven team working on strategic projects that enable trustworthy, robust, and reliable machine learning.

The role involves collaborating with researchers and engineers on various challenging problems, including projects like SynthID and work on fairness of medical classifiers under distribution shifts. You'll be part of a supportive and inclusive environment where collaboration is encouraged and learning is shared freely.

The position requires strong software engineering skills, particularly in Python and C++, with experience in distributed systems and large-scale data pipelines. You'll be working on designing and implementing high-performance simulations, tools, and analyses, while contributing to the team's culture of continuous development.

Google DeepMind values diversity of experience, knowledge, backgrounds, and perspectives, creating an inclusive environment where all team members can thrive. The company is committed to equal employment opportunity and welcomes candidates from all backgrounds.

This is an excellent opportunity for a software engineer passionate about trustworthy ML to work on cutting-edge AI technology while making a meaningful impact on the field. You'll be part of a team that pushes boundaries, achieves ambitious goals, and ensures that AI technology is developed safely and ethically for the benefit of humanity.

Software Engineer position at Google DeepMind focusing on trustworthy machine learning, working on strategic projects to enable robust and reliable AI systems.

Software Engineer - Trustworthy ML

AI research company combining deep learning, reinforcement learning, and systems neuroscience to build general-purpose learning algorithms.

Google DeepMind is at the forefront of artificial intelligence research, combining expertise in deep learning, reinforcement learning, and systems neuroscience to advance the field of AI. As a Research Engineer, you'll join an interdisciplinary team working on pioneering research bridging AI and science, particularly in areas like materials physics and quantum chemistry.

The role offers a unique opportunity to work with cutting-edge AI technologies and contribute to groundbreaking scientific discoveries. You'll collaborate with world-class researchers and engineers, leveraging DeepMind's extensive computational resources and datasets to experiment and iterate at scale. The position requires a blend of technical expertise in machine learning, programming skills, and scientific knowledge.

You'll be part of a supportive and inclusive environment where collaboration is encouraged and learning is shared freely. The team has already achieved several high-profile breakthroughs in artificial general intelligence and continues to push boundaries in AI research. This role is perfect for candidates who enjoy experimental work with large datasets and want to contribute to innovative science and AI research.

Working at Google DeepMind means joining a dedicated scientific community committed to ensuring AI technology is used for widespread public benefit. The company values diversity of experience, knowledge, and perspectives, creating an environment where ambitious goals are pursued through collaborative effort. Whether working in London, San Francisco, or Mountain View, you'll be part of a team that's shaping the future of AI and its applications in scientific discovery.

Research Engineer position at Google DeepMind focusing on applying machine learning techniques to scientific problems in materials physics and quantum chemistry.

Research Engineer

Join Google DeepMind's Sociotechnical Analysis of Model Behaviour (SAMBA) team as a Research Engineer for a 12-month fixed-term contract. You'll be at the forefront of responsible AI development, conducting cutting-edge research on model behaviors that impact people and society. Working alongside Research Scientists, you'll build frontier evaluations and integrate them into existing infrastructure.

Google DeepMind is a leader in artificial intelligence research, focusing on advancing AI for widespread public benefit and scientific discovery. The team comprises scientists, engineers, and ML experts working collaboratively on critical challenges while prioritizing safety and ethics.

As a Research Engineer, you'll contribute to empirical and conceptual research, transforming findings into concrete metrics and systematic evaluations. Your role involves designing experiments, automating evaluation processes, and analyzing data to visualize research findings. You'll need strong programming skills, particularly in Python, and a solid understanding of statistical concepts.

The ideal candidate has a masters in Computer Science or related field, experience with AI evaluation, and excellent communication skills. You'll work in a diverse environment that values different perspectives and experiences, contributing to extraordinary impact in the field of responsible AI development.

This position offers a unique opportunity to work with cutting-edge AI technology while considering its societal implications, making it perfect for those passionate about both technical excellence and responsible innovation.

Research Engineer position at Google DeepMind focusing on sociotechnical analysis of AI model behavior and responsible AI development.

Research Engineer - Sociotechnical Analysis of Model Behaviour (SAMBA)

Google DeepMind is at the forefront of artificial intelligence research and development, working to advance AI for widespread public benefit and scientific discovery. As a Research Engineer, you'll join a diverse team of scientists, engineers, and ML experts based in London and Mountain View, collaborating with various teams across Google/Alphabet including Workspace, Cloud, Android, Assistant, Youtube, and Maps.

The role offers a unique opportunity to bridge the gap between cutting-edge research and real-world applications. You'll work on exciting projects involving Natural Language Processing, Multimodal Understanding, Reinforcement Learning, and Meta Learning. The position requires a strong technical background in machine learning, with hands-on experience in Python, TensorFlow, and large-scale ML models.

What makes this role particularly appealing is the chance to work directly with research scientists and product teams, seeing your work make a tangible impact on Google's products and services. The company offers comprehensive benefits, including competitive compensation with equity, excellent healthcare coverage, and strong support for work-life balance.

The ideal candidate will thrive in an ambiguous environment, demonstrate flexibility in approaching problems, and have a passion for artificial intelligence. You'll be part of a collaborative culture that values diversity of experience and perspectives, working on projects that could shape the future of AI technology.

This is an excellent opportunity for someone who wants to work at the intersection of research and practical applications, with the resources and scale of one of the world's leading AI research organizations. The role offers significant growth potential and the chance to contribute to groundbreaking developments in artificial intelligence.

Research Engineer position at Google DeepMind working on cutting-edge AI applications across Google products, offering competitive salary and benefits.

AI research organization working to advance artificial intelligence for widespread public benefit and scientific discovery

Google DeepMind is at the forefront of artificial intelligence research and development, working to create technologies that benefit humanity and advance scientific discovery. The Org Tech team, consisting of ~10 Software Engineers, is seeking a Full-Stack Engineer to join their mission-critical efforts. As part of the Technical Operations & Analytics team (~50 people), you'll work on internal tools that directly impact the efficiency and effectiveness of Google DeepMind's operations.

The role involves developing sophisticated web applications, including portfolio management tools used across research and engineering groups, performance management systems, and data engineering solutions. You'll work closely with end-users throughout the organization, getting immediate feedback and iterating rapidly on solutions. This position offers unique exposure to AI research operations while focusing on practical software engineering challenges.

The ideal candidate will bring full-stack web development experience, strong communication skills, and a solid foundation in algorithm design. Experience with TypeScript, Angular, and Java is advantageous, as is knowledge of relational databases and API design. While machine learning experience isn't required, an interest in AI's potential impact is valued.

This is a 12-month fixed-term contract offering competitive compensation and the opportunity to work with world-class professionals in a diverse, inclusive environment. You'll be part of a team that values different perspectives and focuses on creating extraordinary impact through technical solutions that enable Google DeepMind's ambitious AI research agenda.

Full-stack software engineering role at Google DeepMind, building internal tools and systems to support AI research operations

Full-Stack Software Engineer

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

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 on the Gemini team, you'll be part of a diverse group of scientists, engineers, and machine learning experts working on one of the most advanced AI systems in the world.

The role focuses on developing and maintaining large-scale data pipelines crucial for Gemini's pre-training data, which directly impacts the model's capabilities and quality. You'll conduct empirical research, validate novel datasets, and work on innovative data processing techniques. This position requires a unique blend of engineering expertise and research acumen, particularly in large-scale data processing and machine learning experimentation.

You'll collaborate with various teams within the Gemini project, including Model, Infrastructure, and Post-Training teams, contributing to the development of scaling laws and understanding the interaction between large-scale training and data. The ideal candidate will have a strong background in distributed systems, empirical experimentation, and deep learning.

Google DeepMind values diversity and creates an inclusive environment where different experiences, backgrounds, and perspectives are celebrated. The company is committed to equal employment opportunity and uses its technologies for widespread public benefit and scientific discovery. This is an opportunity to work on cutting-edge AI technology while ensuring safety and ethics remain top priorities.

The position offers the chance to work with leading researchers, contribute to state-of-the-art generative models, and translate research into products that impact both Google and external applications. If you're passionate about AI, have exceptional engineering skills, and want to be part of shaping the future of artificial intelligence, this role provides an excellent opportunity to make a significant impact in the field.

Senior Research Engineer position at Google DeepMind working on large-scale data pipelines and machine learning experimentation for the Gemini AI system.

Research Engineer - Gemini

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

Google DeepMind is at the forefront of artificial intelligence research, working to advance the state of the art in AI while ensuring safety and ethics remain top priorities. As a Research Engineer on the Gemma team, you'll join a small, collaborative research engineering team based in Mountain View, California, focused on developing accessible and highly-usable foundational models and infrastructure.

Your role will involve working closely with Research Scientists and Research Engineers to develop software that powers cutting-edge research ideas. You'll be instrumental in understanding and unblocking every step of the research process - from ideation to publication and product integration. This position offers a unique opportunity to have horizontal impact across many research areas in the GDM project portfolio.

The team specializes in developing solutions that meet researcher needs, provide scalable infrastructure, and simplify LLM research. You'll become a go-to expert in tools and systems for LLM research, particularly working with technologies like Gemma and JAX. The role combines technical expertise with collaborative skills, as you'll be working with diverse teams and contributing to both internal and potentially external communities.

This is an excellent opportunity for someone passionate about AI research infrastructure who wants to make a significant impact on the field. You'll be part of a company that values diversity of experience and perspectives, offering competitive compensation and the chance to work on technology that could be one of humanity's most useful inventions.

Research Engineer position at Google DeepMind focusing on developing foundational AI models and infrastructure, specifically working on the Gemma project.

Research Engineer, Gemma for Foundational Research

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

At Google DeepMind, we're at the forefront of artificial intelligence research and development. Our PRISM (Planning, Reasoning, Inference & Structured models) team is an interdisciplinary group focused on delivering fundamental advances in large-scale AI systems. We're currently developing advanced planning and reasoning capabilities for Large Language Models (Gemini).

As a Research Engineer, you'll be instrumental in pushing the boundaries of AI. You'll design and build highly scalable ML systems, optimize codebases, and implement cutting-edge techniques. Your role involves staying updated with the latest advancements, providing technical guidance, and taking ownership of critical issues.

We're looking for someone with a deep intellectual curiosity, a collaborative spirit, and a hacker mindset. You should have strong programming skills in Python and experience with machine learning libraries. Knowledge of Large Language Models, hardware acceleration, and distributed computing would be advantageous.

Join us in our mission to harness AI for widespread public benefit and scientific discovery, where safety and ethics are our highest priority. At Google DeepMind, we value diversity and are committed to equal employment opportunity, creating an inclusive environment where extraordinary impact is possible.

Research Engineer position at Google DeepMind, focusing on advancing AI capabilities in planning and reasoning for Large Language Models.

A team of scientists, engineers, and machine learning experts working to advance artificial intelligence for widespread public benefit and scientific discovery.

At Google DeepMind, we're at the forefront of artificial intelligence research and application. As a Research Engineer in our Product team, you'll be working on cutting-edge projects that bridge the gap between research and real-world impact. You'll collaborate with diverse teams across Google/Alphabet, applying advanced machine learning algorithms to improve products and services.

Our current focus areas include Generative Media, Multimodal Understanding, and Reinforcement Learning. You'll be part of a small, dynamic project team, prototyping concepts, designing experiments, and seeing your work make a tangible difference. This role offers a unique opportunity to understand the journey from research to production while tackling real-world problems.

We're looking for individuals who thrive in ambiguity, are adaptable, and have a strong foundation in computer science, mathematics, or machine learning. Experience with diffusion models, TensorFlow (or similar ML frameworks), and applied research is crucial. You'll be working in a collaborative environment, with teams based in London and Mountain View, and partnering with various Google teams.

At Google DeepMind, we value diversity and offer a comprehensive benefits package, including enhanced parental leave, private medical and dental insurance, and flexible working options. We also provide excellent facilities and are open to relocating candidates to Mountain View with full immigration support.

Join us in shaping the future of AI and make a lasting impact on technology that touches billions of lives.

Research Engineer at Google DeepMind: Apply advanced ML to improve Alphabet products and services.

Google DeepMind is a team of scientists, engineers, and machine learning experts working together to advance the state of the art in artificial intelligence.

At Google DeepMind, we're seeking a highly motivated Software Engineer to join our team and contribute to groundbreaking fundamental research and deployment in AI for Education and Learning. Our team aims to make fundamental advances to methods in multimodal foundation models for education and to deploy new experiences and products for learners of all types.

As a Software Engineer, you will:
- Collaborate closely with researchers and engineers across Google
- Contribute to the development of cutting-edge generative models
- Translate research into products across Google and externally
- Prototype product demos based on research ideas in various languages and platforms
- Optimize GenAI data, training, evaluation, and serving pipelines
- Set engineering direction and standards for the team
- Unblock other team members and solve new engineering problems
- Improve performance of existing models (e.g., latency of inference, serving reliability)
- Engage with application and product needs to inform engineering decisions

Key qualifications:
- 2+ years of relevant professional experience (or a PhD in a relevant field)
- Hands-on experience with Python, SQL, and at least one Web frontend language (e.g., JavaScript), mobile platform (e.g., Android), and back-end language (e.g., Java, Rust, C++, Go)
- Experience translating research innovations into product applications
- Strong communication skills and ability to work in a fast-paced environment

Additional advantages:
- Experience with fine-tuning (including RL methods) of foundation models
- Demonstrated interest and expertise in learning science, learning engineering, and digital education and learning

Join Google DeepMind and contribute to the development of AI that could be one of humanity's most useful inventions, focusing on widespread public benefit and scientific discovery while prioritizing safety and ethics.

Join Google DeepMind as a Software Engineer to develop AI for Education, working on multimodal foundation models and product prototypes.

Software Engineer, AI and Education

At Google DeepMind, we're at the forefront of artificial intelligence research and development. We're seeking a Robotics Reliability Engineer to join our Robotics Research Engineering team. In this role, you'll work closely with software engineers and robotics AI researchers to enhance the reliability, performance, and observability of our robot software systems. Your primary focus will be on improving robot data collection and AI policy evaluation reliability by identifying and resolving issues across the robotics stack, and supporting significant horizontal scaling.

Key responsibilities include:
- Developing metrics to pinpoint systemic issues and prioritize their resolution
- Collaborating with researchers, software engineers, and operators to debug and solve workflow-related issues
- Designing reliable tools for monitoring and deploying robotics systems at scale
- Leveraging tools to streamline diagnosis and management of our robot fleet and workstations

We're looking for candidates with:
- A background in software engineering or site reliability engineering
- Experience with distributed systems
- Passion for robotics and improving complex robotic systems
- Skills in developing metrics for system health monitoring
- A collaborative mindset

Additional advantages include familiarity with ROS, open-source deployment tools, experience with Python, C++, Docker, Shell scripting, and Cloud infrastructure, and the ability to analyze complex systems.

At Google DeepMind, we value diversity and are committed to equal employment opportunity. We use our technologies for widespread public benefit and scientific discovery, collaborating on critical challenges while prioritizing safety and ethics. Join us in shaping the future of AI and robotics!

Robotics Reliability Engineer at Google DeepMind: Enhance robot software systems and AI policy evaluation reliability.

Robotics Reliability Engineer

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

At Google DeepMind, we're at the forefront of artificial intelligence research and development. We're seeking a Research Engineer to join our team in creating and executing evaluations for cutting-edge AI systems. In this role, you'll apply your engineering skills to develop and maintain infrastructure for reliable, repeatable evaluations, including datasets, automated and human evaluation systems, and analysis tools. You'll stay current with AI development trends, governance, and sociotechnical research to design new evaluations and communicate results to decision-makers. Collaborating closely with other engineers, research scientists, and experts in AI ethics and policy, you'll play a crucial role in ensuring the safety of our AI systems.

Key responsibilities include:
• Designing and developing evaluations to test AI model safety
• Developing and maintaining evaluation infrastructure
• Running evaluations prior to new AI model releases
• Clearly communicating results to decision-makers
• Collaborating with experts in AI ethics, policy, and safety

We're looking for candidates with:
• A Bachelor's degree in a technical subject or equivalent experience
• Strong Python knowledge and experience
• Understanding of mathematics, statistics, and machine learning concepts
• Ability to present technical results clearly
• Deep interest in AI ethics, safety, and policy

Additional advantageous skills include experience with crowd computing, web application development, data analysis tools, and working on multi-stakeholder projects.

At Google DeepMind, we value diversity and are committed to equal employment opportunity. We welcome applications from all backgrounds and accommodate additional needs. Join us in shaping the future of AI with a focus on widespread public benefit, scientific discovery, and the highest priority on safety and ethics.

Research Engineer at Google DeepMind to develop and execute evaluations for cutting-edge AI systems, focusing on safety and ethics.

AI research company advancing the state of the art in artificial intelligence for widespread public benefit and scientific discovery.

At Google DeepMind, we're seeking a passionate Software Engineer to join our team of scientists, engineers, and machine learning experts. This role focuses on building elegant infrastructure solutions for accelerating research with large models, working across research and deployment, and tackling ambiguous engineering problems in AI development.

Key responsibilities include:
- Developing complex capabilities and ergonomic APIs
- Building libraries balancing flexibility, usability, and performance
- Working at multiple stack levels for feature development
- Partnering with research teams to understand needs and design solutions
- Collaborating across teams to develop spanning infrastructure

We're looking for candidates with:
- Strong full-stack software engineering skills, especially in Python
- Experience developing complex LLM-powered applications
- Deep understanding of large model training and deployment
- Ability to set engineering directions in a fast-paced, ambiguous environment
- Appetite for exploration and experimentation
- User-centered development approach

Additional advantages include experience with production AI infrastructure, multimodal or live data streams, and open-source AI tools.

Join us in creating extraordinary impact through AI, working on ground-breaking technology in an inspiring and collaborative environment. We value diversity and are committed to equal employment opportunity. Apply by November 1, 2024, to be part of shaping the future of AI!

Software Engineer role at Google DeepMind, building infrastructure for AI research and development with large language models.

Google DeepMind Engineering Jobs

AI research company working on advancing artificial intelligence for widespread public benefit and scientific discovery