Find Google DeepMind Mid-Level Software Engineer software engineering jobs

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 Product Impact team, you'll be part of a dynamic, collaborative team based in Tel-Aviv, working closely with various teams across Google/Alphabet including Google Research, Android, and Pixel.

The role involves applying cutting-edge machine learning models to real-world problems, with a particular focus on Gemini experiences. You'll be responsible for prototyping concepts, running experiments, and bridging the gap between research and production. Working in small project teams led by Research Engineers, you'll have the opportunity to make significant impact while receiving mentorship from Product Impact leadership.

The ideal candidate thrives in ambiguous environments and is adaptable to changing project needs. You'll need strong technical skills in machine learning, programming, and algorithm design, along with excellent communication abilities. The position offers unique opportunities to work on groundbreaking AI technologies while collaborating with world-class researchers and engineers.

What sets this role apart is the chance to directly influence Google's most impactful Gemini experiences, working at the intersection of research and product development. You'll be part of a company that values diversity and is committed to using AI technology ethically and for the benefit of humanity. The position offers both technical challenges and the satisfaction of seeing your work make a real difference in Google's products and services.

Research Engineer position at Google DeepMind working on applying ML models to improve Alphabet products, focusing on Gemini experiences.

Research Engineer

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. As a Research Engineer focusing on AI Safety, you'll join a team of scientists, engineers, and ML experts working on making Gemini pre-trained models safer and more powerful. The role combines research innovation with practical implementation, focusing on improving model safety, fairness, and effectiveness.

You'll be working directly with Gemini models, conducting crucial research in pre-training phases to enhance safety features while maintaining model capabilities. This position offers a unique opportunity to impact the development of safe and socially beneficial AI systems, working alongside leading experts in the field.

The ideal candidate brings both technical expertise in machine learning and a commitment to ethical AI development. You'll need strong programming skills, experience with deep learning frameworks, and the ability to work on complex technical challenges. The role offers the chance to contribute to cutting-edge AI safety research while working on one of the most advanced AI systems in the world.

This position is perfect for someone who combines technical excellence with a passion for ensuring AI systems are developed responsibly and ethically. You'll be part of a diverse team committed to creating extraordinary impact, with opportunities to publish research and collaborate on critical challenges in AI safety.

Research Engineer position at Google DeepMind focusing on AI safety and improvement of Gemini pre-trained models

Research Engineer - AI Safety

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.

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

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

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

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. 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.

Google DeepMind Mid-Level Software Engineer Software Engineering Jobs

Find Google DeepMind Mid-Level Software Engineer software engineering jobs