google research engineer jobs

Help advance the future of computer science

Our teams are innovating at the cutting edge of their fields in order to tackle challenges and build products that impact billions of people every day.

Our mission and philosophy

The research conducted at google has broadened dramatically, becoming more important to our mission than ever before..

We aim to create a research environment rich in opportunities for product impact, to build a product environment that actively benefits from research, and to provide our staff the freedom to work on important research problems that go beyond immediate product needs.

Explore our locations

Offices around the world.

From Accra to Zürich, to our home base in Mountain View and beyond, we’re looking for talented, creative computer scientists to drive our work forward.

North America

Our teams in Atlanta focus on theoretical and application aspects of computer science with a strong focus on machine learning and the algorithmic foundations and theoretical underpinnings of deep learning, with applications to natural language understanding, machine perception, robotics, and ubiquitous computing and sensing.

Our teams in Cambridge work closely with academics at local universities as well as collaborators at local institutes with a goal to impact both Google’s products and general scientific progress. We accomplish this by releasing open source tools, publishing our work and sharing our findings with the academic community.

More boardshorts than boardroom, high tech meets high tide at Google L.A. Our engineers work on such high-impact products as Ads, Chrome, and YouTube, while our sales teams push the limits of digital advertising for top-tier clients. Take advantage of our picture-perfect SoCal weather by hitting the rock wall and elevate team strategy sessions with a game of oversized chess on the roof deck. In-house coffee and juice bars provide pick-me-ups, and beach breaks double as brainstorm sessions when you borrow one of our 4-seat surrey bikes, beach cruisers, or surfboards and head to the boardwalk.

Google Research in Montreal performs both open-ended and applied research, in numerous areas including reinforcement learning, meta-learning, optimization, program synthesis, generative modeling, machine translation, and more. We also support the local academic community and have several academic collaborations, including with Mila – Quebec Artificial Intelligence Institute.

Our headquarters has come a long way from its humble roots in a Menlo Park garage, but our innovative Silicon Valley spirit is stronger than ever. On our largest campus, we work on cutting-edge products that are changing the way billions of people use technology. Onsite benefits like fitness and wellness centers embody our philosophy that taking care of Googlers is good for all of us. Build team skills with a group cooking class or coffee tasting, ride a gBike to one of our cafés, or work up a sweat in a group class. Here at the Googleplex, we’re looking for innovators, collaborators, and blue-sky thinkers. We’re looking for you.

We work in close collaboration with academia, with a goal to impact both Google’s products and general scientific progress. We accomplish this in two ways: by releasing software libraries, a way to build research findings into products and services, and through publishing our work and sharing our findings with the academic community.

Our team in Pittsburgh conducts research in natural language processing, machine learning, image and video understanding, and optimization, and our impacts range from academic paper publications to software systems used throughout Google. We collaborate closely with research and applied groups in many areas, and also work closely with Carnegie Mellon University and other organizations in the extremely strong computer science community in Pittsburgh.

As our company headquarters, Mountain View and the surrounding offices in Sunnyvale, San Francisco, and San Bruno are home to many of our world-class research teams and the innovative projects they work on.

Our research teams in Seattle and Kirkland work on a wide range of disciplines — from quantum computing to applied science to federated learning and health. In doing the above, and more, a large focus of our work also focuses on advancing the state of the art in machine learning.

Nestled between the Santa Cruz Mountains and the San Francisco Bay, with San Jose to the south, San Francisco to the north, and NASA right next door, you’ll find one of Google’s largest and newest global campuses in Sunnyvale. Here in the heart of the original Silicon Valley innovation is happening everywhere—from our Cloud team developing exciting new products and services, to moving into our latest office spaces which include interconnected building projects, the creation of green spaces connecting campuses with the community, and the creative restoration of local habitats. We love growing in Sunnyvale—and you will too.

We develop novel neural network architectures and learning algorithms, with applications to computer vision, natural language and speech processing, medical image analysis, and computer architecture and software.

Europe, Middle East, and Africa

Google Research teams in Accra collaborate with global research teams to lead many sustainability initiatives of particular interest to Africa. We implement theoretical and applied artificial intelligence with a strong focus on machine learning and algorithmic foundations to tackle some global challenges, such as food security, disaster management, remote sensing, among others.

Researchers in our Amsterdam office push the boundaries of what is possible in many domains, including natural language understanding, computer vision and audio, reinforcement learning and machine learning for the natural sciences.

In Berlin, our teams work on a range of topics from foundational to more applied and involve data comprised of text, images, video, audio and more. We are engaging and collaborating closely with Berlin’s vibrant academic and startup communities.

We work on machine learning, natural language understanding and machine perception, from foundational research to AI innovations, in search, healthcare, and crisis response.

We work on natural language understanding and conversational dialog, text-to-speech, (on-device) machine learning, human-centered AI research and user research as well as healthcare.

We work on problems in quantum computing as well as speech and language processing, and collaborate closely with Google’s product teams across the world.

The Nairobi Research Center is dedicated to advancing research in Food Security and Agriculture. Located in the vibrant capital of Kenya, the center brings together a diverse team of experts that address global food challenges through the development of cutting-edge solutions that shape a brighter future for generations to come.

We tackle big challenges across several fields at the intersection of computer science, statistics and applied mathematics while collaborating closely with a strong academic community.

We solve big challenges in computer science, with a focus on machine learning, natural language understanding, machine perception, algorithms and data compression.

Asia-Pacific

Google Research Australia aims to advance the state-of-the-art in machine learning, in areas such as Fundamental Machine Learning, Natural Language Understanding, and Systems Programming. We aim to apply our research in ways that benefit Australia, Google and global society.

We are interested in advancing the state of the art and applications in areas like Machine Learning, Natural Language Understanding, Computer Vision, Software Engineering and Multi-agent Systems.

We are interested in advancing the state of the art and applications in areas like machine learning, speech, and natural language processing.

Meet the teams driving innovation

Our teams advance the state of the art through research, systems engineering, and collaboration across Google.

Our impact reaches billions

Google Research tackles challenges that define the technology of today and tomorrow.

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Find your research career at Google

Our researchers are embedded in teams across computer science, to discover, invent, and build at the largest scale.

Our research-focused software engineers are embedded throughout the company, allowing them to setup large-scale tests and deploy promising ideas quickly and broadly.

Work across data mining, natural language processing, hardware and software performance analysis, improving compilation techniques for mobile platforms, core search, and much more.

Internships take place throughout the year, and we encourage students from a range of disciplines, including CS, Electrical Engineering, Mathematics, and Physics to apply to work with us.

Collaboration is essential for progress

We’re proud to work with academic and research institutions that push the boundaries of AI and computer science.

Measuring and improving the accuracy, safety, speed, and efficiency of AI technologies.

Working to advance fire modeling tools and fire spread prediction algorithms.

Anthropic, Google, Microsoft and OpenAI are launching the Frontier Model Forum, an industry body focused on ensuring safe and responsible development of frontier AI models.

Many disciplines, one common goal

Flexible collaboration.

At the heart of Google DeepMind’s mission is our commitment to act as responsible pioneers in the field of AI, in service of society’s needs and expectations.

This requires us to continually advance diversity, equity, and inclusion within our organization and in the AI ecosystem, ensuring all technology is built by and for those who represent the world we live in.

It’s a responsibility we can only take by continuing to cultivate an internal culture that recognises how our diversity of experience, knowledge, backgrounds, and perspectives enables us to find connections that solve real world problems.

Collaboration is at the heart of everything we do, but we know it may look different every day. That’s why we have a working model that allows for the flexibility of in-office and remote working optimized across the organization.

Inside Google DeepMind

In this series, we’ll take you on a journey across our offices, giving you an inside look into the work that we do, and most importantly, introduce you to some of the people that make it all possible.

Paige's story

The possibility of generative AI

Drew's story

Embracing creativity through music & AI

Dawn's story

Putting ethics into practice

Kory's story

Finding humour in AI

Deeni's story

Exploring the next generation of AI products

Stefano’s story

Robotics and AI

Anna's story

Building the tools to make AI breakthroughs possible

Sarah's story

Creating the worlds that enable research

A community with a unique mission

We’re a dedicated scientific community, committed to “solving intelligence” and ensuring our technology is used for widespread public benefit.

Our pioneering and collaborative culture is made up of people from unusually diverse backgrounds. Together, we build computer systems that learn how to solve problems and advance scientific discovery for all.

Our research teams focus on pushing the boundaries of artificial intelligence theory and practice, scientific discoveries, and AI-powered products. Our culture encourages collaboration across all research groups, leading to ambitious creativity and innovative breakthroughs.

Engineering

Our engineers build the foundations of scalable, responsible AI research and development programs across our teams. They support some of the most advanced and large-scale AI research in the world, and help integrate these technologies into new AI-powered products.

Science & Sustainability

This multidisciplinary team works on AI projects that can fundamentally change our understanding of the physical world. These projects include exploring the potential for AI to enable breakthroughs in areas critical to solving humanity’s biggest challenges – including biology, quantum chemistry, physics, mathematics, climate, and sustainability.

Responsibility & Safety

Our policy experts, philosophers, and researchers work with other groups in academia, civil society, and the broader AI community to rigorously test our systems, putting ethics into practice and helping society address the impacts of AI.

Our product teams aim to unlock state-of-the-art artificial intelligence capabilities across Alphabet, creating positive impact and magical product experiences for billions of users. This team works to deploy Google DeepMind research into real world applications.

Our operations team works hard to make Google DeepMind the best environment in the world for advancing AI research. Our dedicated teams include experts from program management, people development, travel, talent acquisition, DE&I, public engagement and more. Together, they maintain, optimize, and nurture our culture and world-leading research.

“ We have a real opportunity to deliver AI research and products that dramatically improve the lives of billions of people, transform industries, advance science, and serve diverse communities.

Demis Hassabis Co-founder and CEO, Google DeepMind

Diverse perspectives

We’re looking for people with a lifelong commitment to learning, who are passionate about making a positive impact in the world. We’ve built a supportive and inclusive environment where collaboration is encouraged and learning is shared freely.

We don’t set limits based on what others think is possible or impossible. We drive ourselves and inspire each other to push boundaries and achieve ambitious goals.

We value our diversity of experience, knowledge, backgrounds, and perspectives and harness these qualities to discover connections, solve problems, and create extraordinary impact.

A career at Google DeepMind offers the opportunity to work closely with some of the best minds within the scientific community and beyond. We’re looking for people from all backgrounds who want to make a real, positive impact on the world.

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Research Scientists at Google DeepMind

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Student researcher program

A practical and rewarding introduction to AI

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Jakarta, Indonesia

Research Scientist, Google Research

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Minimum qualifications:

• PhD degree in Computer Science, a related field, or equivalent practical experience.
• One or more scientific publication submission(s) for conferences, journals, or public repositories.
• Coding experience in Python, JavaScript, R, Java, or C++.

Preferred qualifications:

• 2 years of coding experience in Python, JavaScript, R, Java, or C++.
• 1 year of experience owning and initiating research agendas.

About the job

As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.

As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.

Responsibilities

• Author research papers to share and generate impact of research results across the team and in the research community. 
• Help in growing research business across teams by sharing research trends and best practices within the community. 
• Define the data structure, framework, design, and evaluation metrics for research solution development and implementation under minimal guidance. Identify timelines and obtain resources needed. 
• Identify new and upcoming research areas by interacting with potential external and internal collaborators. Help in developing long-term research strategy and plans to expand the impact of Google research with some guidance. 
• Contribute to conducting experiments based on the research question. Develop research prototypes or conduct simulations to further evaluate the impact of research, finalize hypotheses, and refine the research methodology under minimal guidance.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy .

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.