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, working to advance AI for widespread public benefit and scientific discovery. As a Research Engineer in the People Identity team, you'll be part of a diverse, collaborative team spread across Mountain View, Los Angeles, New York, and London. The role focuses on applying cutting-edge machine learning algorithms to real-world problems, particularly in multimodal human understanding and generation, with an emphasis on privacy preservation and misinformation prevention.

You'll work closely with teams across Google/Alphabet, translating research into practical applications that improve products and services. The position requires a PhD in Computer Science or ML-related field, with expertise in people understanding/generation and experience with VLMs and ML frameworks like TensorFlow/JAX. You'll be involved in rapid prototyping, experimental design, and model development, working in an environment that values innovation and adaptability.

The role offers an excellent compensation package, including a competitive base salary, bonus, equity, and benefits. You'll have the opportunity to see your work make a real difference while collaborating with leading experts in AI research. The team values diversity of experience and perspectives, fostering an inclusive environment where creative problem-solving and novel solutions are encouraged.

This is an ideal position for someone who thrives in ambiguous situations, enjoys tackling complex challenges, and wants to contribute to the advancement of AI technology while ensuring safety and ethics remain top priorities.

Senior Research Engineer position at Google DeepMind focusing on AI and machine learning for people identity, offering competitive compensation and opportunity to work on cutting-edge technology.

Research Engineer, People Identity

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.

Research Engineer

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

At Google DeepMind, we're at the forefront of artificial intelligence research and development. Our training infrastructure team in Robotics is seeking a Research Engineer to play a crucial role in realizing general intelligence on physical robotic platforms. You'll be part of a diverse team working on cutting-edge robotics research, developing and maintaining robust and scalable training pipelines that transform large-scale robotics data into high-quality perception and control agents.

In this role, you'll collaborate closely with research scientists, engineers, and stakeholders across DeepMind. Your responsibilities will span the entire training pipeline, from data acquisition and augmentation to model training and evaluation. You'll be involved in designing and debugging new model architectures, conducting experiments to optimize performance, deploying agents on real robots, and building new robotics datasets.

We're looking for candidates with a strong background in computer science, mathematics, or related fields, with solid Python skills and a deep understanding of machine learning and statistics. Experience with robotics systems, ML frameworks like JAX, and handling large-scale datasets would be highly advantageous.

At Google DeepMind, we value diversity and are committed to equal employment opportunity. We welcome candidates from all backgrounds and experiences, and we're dedicated to creating an inclusive environment where everyone can thrive and contribute to our mission of advancing AI for the benefit of humanity.

Join us in shaping the future of robotics and AI, where your work will have a direct impact on pushing the boundaries of what's possible in machine learning and robotics. Be part of a team that's not just imagining the future, but actively building it.

Research Engineer role at Google DeepMind Robotics, developing AI training infrastructure for advanced robotics applications.

Research Engineer, Training Infrastructure

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.

Software Engineer

Google DeepMind is 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 are seeking an experienced Production Engineer to lead and drive technology projects in our workplace. The Enterprise Engineering team designs, develops, and supports world-class infrastructure to accelerate our research progress. We are always looking to embrace cutting-edge technologies to provide the tools our research teams require to change the world!

This unique role offers a diverse workload from systems design and continual improvement to low-level support of the entire signal chain, from acquisition all the way through to Internet distribution. Reporting to the Head of Enterprise Engineering, you will help define and drive user requirements, be responsible for following design guidelines, owning technical design, and acting as a point of technical escalation for global event studios.

Key responsibilities include:
- Driving operational excellence by ensuring high availability and optimal performance across all research facilities
- Owning the detailed technical design of critical infrastructure
- Acting as the escalation point for critical system issues
- Proactively identifying emerging technologies and collaborating with vendors
- Managing site upgrades to ensure operational stability
- Partnering with research teams to understand their unique needs and provide tailored support
- Ensuring facility documentation is up to date and correct
- Leading research projects, managing suppliers, integrators, and budgets
- Establishing the feasibility of minor developments
- Acting as Engineer In Charge (EIC) for high-profile moments

We are looking for a candidate with deep Infrastructure Engineering experience, including:
- Expertise in IP video and audio technologies
- Strong grasp of IP networking
- Experience with broadcast systems
- Excellent problem-solving and communication skills
- Ability to work collaboratively and take initiative
- Passion for innovation and pushing the boundaries of broadcast technology

At Google DeepMind, we value diversity of experience, knowledge, backgrounds, and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of various protected characteristics.

Join us in our mission to advance the state of the art in artificial intelligence, using our technologies for widespread public benefit and scientific discovery while ensuring safety and ethics are the highest priority.

Senior Production Engineer at Google DeepMind to lead technology projects and support world-class infrastructure for AI research.

Google DeepMind Engineering Jobs

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