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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.
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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.
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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.
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Meet the teams driving innovation
Our teams advance the state of the art through research, systems engineering, and collaboration across Google.
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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.
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Our research-focused software engineers are embedded throughout the company, allowing them to setup large-scale tests and deploy promising ideas quickly and broadly.
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Work across data mining, natural language processing, hardware and software performance analysis, improving compilation techniques for mobile platforms, core search, and much more.
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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.
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Measuring and improving the accuracy, safety, speed, and efficiency of AI technologies.
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Working to advance fire modeling tools and fire spread prediction algorithms.
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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.
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Behzad Vahedi doing a PhD Residency at X - The Moonshot Factory
![google x phd residency Behzad Vahedi](https://www.colorado.edu/geography/sites/default/files/styles/medium/public/article-image/x_entrance_0.jpeg?itok=y6aff8nf)
Last August I started a PhD residency at X, the moonshot factory . X is a research and development branch of Google (or more precisely Alphabet). X is a diverse group of inventors and entrepreneurs who build and launch technologies that aim to improve the lives of millions, even billions, of people. The goal is 10x impact on the world’s most intractable problem. X approaches projects that have the aspiration and riskiness of research with the speed and ambition of a startup.Â
In 2010, Google founders Larry Page and Sergey Brin decided to form a new division of the company to work on moonshots: far-out, sci-fi sounding technologies that could one day make the world a radically better place. It was a grand experiment with ambiguous wording in vision. 10 years in, X website mentions that it has incubated hundreds of different moonshot projects, many of which have gone on to become independent businesses.Â
As an AI Resident, I'm engaged in an early stage project where I work on various facets of GeoAI model development and deployment, encompassing everything from model design to DevOps and MLOps practices. This role has afforded me the great opportunity of learning the implementation and deployment of AI models at the forefront of the industry, while also being exposed to the practical, conceptual, and theoretical challenges that emerge due to scalability issues.
My academic background and research in the Geography Department at CU Boulder have been instrumental in preparing me for this role. In particular, courses such as Geospatial machine learning in the Geography Department, along with deep learning courses in the Computer Science and Applied Mathematics Departments, have been significant. Additionally, an equally impactful course, software engineering for scientists, has also greatly contributed to the skills I use on a daily basis in this position.
In light of this experience, I look forward to my return to academia to complete my PhD leveraging the insights and skills I have gained in this role. I am excited to integrate the practical knowledge I have acquired from the industry into my doctoral research.
Behzad Vahedi  page
- Behzad Vahedi
X is Alphabet’s moonshot factory. We are a diverse group of inventors and entrepreneurs who build and launch technologies that aim to improve the lives of millions, even billions, of people. Our goal: 10x impact on the world’s most intractable problems, not just 10% improvement. We approach projects that have the aspiration and riskiness of research with the speed and ambition of a startup.
THE FOUNDATION OF AN AMAZING JOURNEY
Our goal at X is to make the world a radically better place. In order to do that we seek fresh unexpected perspectives, from different fields, and that’s why we’re excited about you.
Life here isn’t easy, but it’s fun. We’re trying to build things most people can’t even imagine, and we’re doing it with the hope of making a huge, positive impact on the world. You’ll be embedded into a moonshot project, where you’ll partner with team members to solve key challenges.
This isn’t your ordinary internship. You’ll be positively challenged and pushed professionally, in ways that you may have never experienced. If this excites you - keep reading.
DURING YOUR INTERNSHIP YOU CAN EXPECT:
- To be placed on one of our confidential or public X projects
- To get paid competitively and with Google benefits
- To be part of a lively community of other Interns and Residents
- To attend colloquium and discussions with team leads from across Google, DeepMind and external organizations
- Location: X's headquarters in Mountain View, CA
- Start Date(s): Year-round rolling basis
- Duration: a flexible 4 mo. to 1 year program based on project team needs and your availability
Job Description:
A chemical engineering resident with experience in solid-liquid separation, liquid-liquid separation and seawater/wastewater treatment.
- Collaborate with the X Project teams on a pilot-scale process development:
- Develop solid-liquid and liquid-liquid separation methodologies that are optimized for the chemicals generated in the lab.
- Design and conduct experiments to treat wastewater generated in other laboratory processes, with the goal of recovering valuable materials and minimizing waste.
- Perform literature research on industrial separation methods and apply small scale test systems in the lab and develop techno-economic models at different scales.
- Develop standard operation and maintenance procedures.
- Manage vendors and suppliers ensuring components are within specifications and are delivered in a timely manner.
- Conduct interdisciplinary research.
- Engaging with the Intern community during the program, engaging with the X community, attending colloquia and tech talks.
Minimum Qualifications:
- Currently enrolled in a PhD program in a STEM field such as Chemical Engineering, Civil Engineering, Process Engineering, Mechanical Engineering, Materials Engineering or Chemistry with expertise in reactor design.
- Solid understanding of thermodynamics, transport, fluid mechanics, and heat transfer.
- Extensive hands-on experimental and hardware experience related with solid-liquid and liquid-liquid separation and water treatment.
- Experience to create engineering drawings with a fundamental understanding of geometric dimensioning and tolerancing, and ability to interpret various engineering standards (ASTM, EIGA, etc.) to guide designs.
- Effective at navigating ambiguity and managing time constraints in a dynamic environment and strong technical communication skills (presentations/reports) with diverse audiences.
Preferred Qualifications:
- Experience with the construction materials industry or mining and geological engineering.
- Demonstrated large-scale chemical processing project and/or publications in relevant conference or journals
- Experience with one or more general purpose programming languages such as Python, C/C++ etc.
At X, we don't just accept difference - we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products and our community. We are proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
If you have a disability or special need that requires accommodation, please contact us at: [email protected] .
PLEASE NOTE:
This role requires exposure to technologies subject to heightened controls under US export laws. Due to our immediate need to fill this role and the lengthy process required to obtain export licenses, we will not be able to move forward with anyone requiring a license for such technologies . This applies to individuals ineligible for license exception "TSR" (commonly described as "controlled-country nationals") under the US Commerce Department's Export Administration Regulations . As of July 2018, a controlled country national is anyone who is a national of one of the following countries ( excluding US green card holders and US citizens with dual citizenship ): Armenia, Azerbaijan, Belarus, Burma (Myanmar), Cambodia, Cuba, the People's Republic of China, Georgia, Iran, Iraq, Kazakhstan, Kyrgyzstan, Laos, Libya, Macau, Moldova, Mongolia, North Korea, Russia, Sudan, Syria, Tajikistan, Turkmenistan, Ukraine, Uzbekistan, and Vietnam . Please review up-to-date information about the Commerce Department's export regulations, including the current list of countries, here .
The US base salary range for this full-time position is between $118,000 - $145,000 + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your location during the hiring process.Please note that the compensation details listed in US role postings reflect the base salary only, and do not include benefits.
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As set forth in X, the moonshot factory’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.
Thank you for applying to X, the moonshot factory!
Your application has been received. We appreciate your interest in the open roles at X. Our team will review your materials and if there is a fit, a member of our team will contact you with more information.
![google x phd residency profile photo](https://initmaks.com/assets/img/photo.jpg)
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Maks Sorokin
![google x phd residency google x phd residency](https://initmaks.com/assets/icons/twitter.png)
I'm a fourth-year Robotics Ph.D. student at Georgia Tech, advised by Dr. Sehoon Ha and Dr. C. Karen Liu . I am interested in applications of vision-based robot learning in real-world robotics. Currently, I am working on outdoor navigation and environment interaction problems.
- JUL'23 - Our work on Learning-oriented Robot Design was accepted at IROS 2023 [project page]
- MAR'23 - Check out our latest work on Design a Learning Robot [project page]
- APR'22 - Human Motion Control of Quadrupedal Robots accepted at RSS [project page]
- SEP'21 - Excited to be joining X - the moonshot factory ( Everyday Robots ) for PhD Residency!
- SEP'21 - Check out our work on Learning Sidewalk Navigation [project page]
- MAY'21 - Awarded the fellowship by the Machine Learning Center at Georgia Tech. [link]
- FEB'21 Paper on Learning Human Search Behavior accepted at EUROGRAPHICS'2021! [pdf] [arXiv]
- DEC'20 Paper on Few-shot visual sensor meta-adaptation accepted at ICRA'2021! [pdf] [arXiv]
![google x phd residency BDAII Logo](https://initmaks.com/assets/icons/org/BDAII-flowers.png)
Research Intern @ The AI Institute 2024 - Present
![google x phd residency Georgia Tech Logo](https://initmaks.com/assets/icons/org/GeorgiaTechLogo.png)
PhD in Robotics @ Georgia Tech 2020 - Present
AI Residency @ Google X 2021 - 2022
Latest Work
We present a learning-oriented morphology optimization framework that accounts for the interplay between the robot's morphology, onboard perception abilities, and their interaction in different tasks. We find that morphologies optimized holistically improve the robot performance by 15-20% on various manipulation tasks, and require 25x less data to match human-expert made morphology performance.
Publications
We propose a novel motion control system that allows a human user to operate various motor tasks seamlessly on a quadrupedal robot. Using our system, a user can execute a variety of motor tasks, including standing, sitting, tilting, manipulating, walking, and turning, on simulated and real quadrupeds.
We introduce Bootstrap Across Multiple Scales (BAMS), a multi-scale self-supervised representation learning model for behavior analysis. We combine a pooling module that aggregates features extracted over encoders with different temporal receptive fields, and design latent objectives to bootstrap the representations in each respective space to encourage disentanglement across different timescales.
We design a system which enables zero-shot vision-based policy transfer to the real-world outdoor environments for sidewalk navigation task. Our approach is evaluated on a quadrupedal robot navigating sidewalks in the real world walking 3.2 kilometers with a limited number of human interventions.
We train vision-based agent to perform object searching in photorealistic 3D scene. And propose a motion synthesis mechanism for head motion re-targeting. Using which we enable object searching behaviour with animated human character (PFNN/NSM).
We show how vision-based navigation agents can be trained to adapt to new sensor configurations with only three shots of experience. Rapid adaptation is achieved by introducing a bottleneck between perception and control networks, and through the perception component's meta-adaptation.
![google x phd residency google x phd residency](https://initmaks.com/assets/img/sim2sim.png)
Image domain adaptation through the conversion of images with randomized textures (or real images) to a canonical image representation. Replication of a RCAN paper with different loss modeling ( Perceptual/Feature Loss instead of GAN loss).
Computer Animation class project, which utilizes off-the-shelf Soft-Actor-Critic Reinforcement Learning method that learns to build up the momentum and swing the animated character on a pull up bar.
Mobile Manipulation project that utilises MoveIt! & GQ-CNN to grasp an object from the table using a Fetch Robot in the Gazebo Simulator.
End-to-end (image-to-steering wheel) control policy learning from data collected over multiple laps with off-the-track recoveries generated by human.
Mentoring Experience
- PRESENT : Master's Student - Jiaxi Xu
- FALL 2021 : Master's Student - Arjun Krishna -> PhD student at UPenn’s GRASP lab
- FALL 2020 : Master's Student - Qian Luo -> NLP Algorithm Engineer at Alibaba Group
Teaching Experience
- FALL 2019 & SPRING 2020 : Head Teaching Assistant
- FALL 2018 & SPRING 2019 : Teaching Assistant
Scholarly Activities
- IROS 2023 - Session co-chair Mechanism Design
- RA-L 2023 - Reviewer at IEEE Robotics and Automation Letters
- RSS 2023 - Reviewer at Proceedings of Robotics: Science and Systems
- RA-L 2022 - Reviewer at IEEE Robotics and Automation Letters
- ICRA 2021 - Reviewer at IEEE International Conference on Robotics and Automation
![google x phd residency google x phd residency](https://initmaks.com/assets/icons/gw.jpg)
2023© Maks Sorokin built using Skeleton , icon credits flaticon , hosted by GitHub Pages ❤️ feel free to copy: this page
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PhD student honored as 2024-2026 Jonas Scholar
![google x phd residency Banner Image](https://sc.edu/study/colleges_schools/nursing/images/07-email-jessica-gonzalez-phd-jonas-scholar-con.jpg)
Jessica Gonzalez, a PhD student at USC College of Nursing, has been named a Jonas Scholar for the 2024-2026 cohort. The Jonas Nursing and American Association of Colleges of Nursing (AACN) initiative aims to expand the pool of PhD and DNP-prepared nurses to educate future nurse leaders. Gonzalez’s research focuses on pain outcomes among minority breast cancer patients.
Why It Matters:
- Gonzalez’s selection underscores her commitment to nursing education and research.
- The Jonas Scholar program provides financial support, mentorship, and a tailored curriculum for aspiring faculty.
What's Next: Gonzalez’s research will delve deeper into pain outcomes among breast cancer patients, with a special focus on minority groups.
What They're Saying: “I am grateful for the support AACN and Jonas are providing to our PhD students,” says Dr. Robin Dail, PhD program director. “Jessica is entering her second year as a PhD student with a promising future, combining her clinical expertise with a desire to contribute as a nurse scientist.”
Personal Journey: Gonzalez began her research journey in 2020, two years after her best friend was diagnosed with breast cancer. Her stepsister was also diagnosed with breast cancer during Gonzalez's master’s program, inspiring her to focus on quality improvement for mammography compliance. Gonzalez herself was diagnosed with breast cancer two days before her USC Nursing DNP program interview, where she discussed breast health promotion projects.
Gonzalez Says: “This scholarship means so much to my personal growth not only as an educator but also as a nurse researcher. It will provide many resources and opportunities to reach my goals and I am grateful for the support of the university, my committee, chair, faculty advisor, pipeline program, and the dean of the College of Nursing for the opportunity to work with the Jonas Scholarship program.”
Challenge the conventional. Create the exceptional. No Limits.
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The sub is currently going dark based on a vote by users. The sub will be back up tomorrow night. Welcome to the Residency subreddit, a community of interns and residents who are just trying to make it through training! This is a subreddit specifically for interns and residents to get together and discuss issues concerning their training and medicine/surgery.
How many of you all plan to go for a PhD once you are finished with residency?
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COMMENTS
If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection. As a government contractor subject to the Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measure the effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA.
16 weeks to 6 months is a bit short for a "residency." It seems more of a rebranded ML internship than the residency programs at Google Brain / FAIR.
Google PhD Fellowships directly support graduate students as they pursue their PhD, as well as connect them to a Google Research Mentor. Nurturing and maintaining strong relations with the academic community is a top priority at Google.
The X AI Residency application deadline has been extended from January 15, 2019 to February 11, 2019. X AI Residency. THE AI RESIDENCY PROGRAM AT X, THE MOONSHOT FACTORY
Had two interviews for a PhD Residency at X Moonshot Factory (Google, USA) and didn't make it to next steps. It felt like a perfect fit for my research, skills, goals and I'm obviously very disappointed in myself for being turned down.
If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection. As a government contractor subject to the Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measure the effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA.
🔬 Exciting news! 🎓 Join the PhD Residency Internship 2024 at X - a Google Company - exclusively designed for chemistry candidates! 🌟Apply now and elevate ...
If you're an inventor, technologist, entrepreneur, or something in between and want to create things the world has never seen before, take a look at our open roles.
Residents have also made significant contributions to the open source community with general-purpose sequence-to-sequence models (used for example in translation), music synthesis, mimicking human sketching, subsampling a sequence for model training, an efficient "attention" mechanism for models, and time series analysis (particularly for neuroscience).
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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.
Last August I started a PhD residency at X, the moonshot factory.X is a research and development branch of Google (or more precisely Alphabet). X is a diverse group of inventors and entrepreneurs who build and launch technologies that aim to improve the lives of millions, even billions, of people. The goal is 10x impact on the world's most intractable problem.
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Maks Sorokin, Chuyuan Fu, Jie Tan, C. Karen Liu, Yunfei Bai, Wenlong Lu, Sehoon Ha, Mohi Khansari International Conference on Intelligent Robots and Systems (IROS) 2023. We present a learning-oriented morphology optimization framework that accounts for the interplay between the robot's morphology, onboard perception abilities, and their interaction in different tasks.
A couple notes: - Obviously I'm not privy to any secret projects happening at X, but there are plenty of public projects that would use ML. E.g. Mineral, Tidal, Everyday Robots
PhD student honored as 2024-2026 Jonas Scholar Posted on: July 22, 2024; Updated on: July 22, 2024
This is curious to see the viewpoint from the other side of the pond. In the UK it is generally accepted that if you want a competitive surgical consultant (attending) job at a prestigious teaching hospital you will take time out of specialty training (residency) to do a PhD or similar.
Vice President Kamala Harris is now the obvious heir as the Democratic nominee following President Joe Biden's announcement that he would not seek reelection. Harris's ascent is a remarkable ...
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If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection. As a government contractor subject to the Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measure the effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA.