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Life at Google

Google interns take on 2021

Jul 29, 2021

When I applied to be an intern at Google, I didn’t know what I wanted to do. But I knew what I was hoping for: a collaborative culture, to work on interesting new technology, and, of course, one of those colorful propeller hats. 

Still, I had no idea what part of the company I should work in, and I was worried about completing an entire internship remotely from my bedroom. I eventually was placed on the Global Communications and Public Affairs team — a specialty that was new to me. All my anxieties disintegrated when I met the Googlers who guided me through the internship process. I was welcomed onto a team that didn’t expect me to have everything figured out. They just wanted to support me.

During my internship, I’ve been encouraged to ask questions and given the resources to explore what interests me. Google is focused on continuous learning, and its internships are no exception. I may spend my morning interviewing a team lead about a product launch, followed by a coffee chat to learn about new Search features, and finish my day strategizing for this blog post. 

But my favorite part of my internship has been connecting with Googlers from all over the world and helping share their stories. This year, Google’s 3,500+ interns (who come from more than 400 universities and more than 40 countries) have been collaborating on and leading all kinds of meaningful projects. As we celebrate International Intern Day today, I spoke with a few members of my intern class about the work they’re doing at Google and what they’ve learned so far.

Making a real impact

Pittsburgh, Pennsylvania

As a PhD candidate studying human-computer interaction, Sarah is used to designing new ways for people to utilize technology. She has spent her internship researching how a device could be helpful to people with hearing loss who might lipread. As part of her work on the Hearing Accessibility team, she tested a bracelet that can translate audio into tactile vibrations, which can provide an added layer of communication in addition to lipreading. 

New to the area of hearing accessibility, Sarah quickly dove into the existing research, studying sound processing, phonetics and what makes lipreading both difficult and useful. 

“At the start of the internship I built a tool to help people practice with the devices,” Sarah says. “It also lets us run experiments with the devices remotely, and I’ve been really excited by what we’ve been able to learn with this tool over the last few weeks. It’s great to work on something that my teammates as well as our pilot users get value from.”

Work that’s never been done

Berlin, Germany

Lino has spent his internship creating a central hub that helps direct Sales teams to relevant support resources and services. When he started, Lino wasn’t told to build a specific product. Instead, Lino’s team explained their problem and supported him while he worked on a solution. Through his project, he’s learned how to thrive in ambiguity.  

“Many of the things we do at Google haven’t been done before,” Lino says. “There’s no manual. It can be challenging to not have a step-by-step guide to follow, but really creating something from the ground up has been a very exciting experience.”

Learning with others

Los Angeles, California

Throughout her internship, Dana has been working with Google Video Partners to grow a new format for audio ads. She’s partnered with various Google engineers to explore ideas like expanding to new inventory and making ad content more engaging. Did I mention she’s only a little more than half way through her 12-week internship? While working, Dana’s also built relationships with her peers. 

“Working virtually is nudging me to be more intentional about reaching out,” she says. “A highlight for me was when a team member organized a waffle-making event. Imagine 12 people on video call flipping waffles! It just made me so happy.”

Creating new opportunities

São Paulo, Brazil

Balancing two projects, João worked as the technical point of contact for customers at Google Cloud Brazil, and analyzed team productivity at Google using AI. During his internship, he took advantage of Google’s career resources, earning two engineering certificates. The best part is that his time at Google isn’t over: Since João’s internship ended a few weeks ago, he accepted a full-time role.

“I'm very glad that my relationship with Google is only beginning,” João says. “It feels like every single contribution I made as an intern had an impact and it’s great to know there’s even more to come.”

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Many disciplines, one common goal

Flexible collaboration, student researcher program.

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.

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.

We’re looking for people from all backgrounds who want to make a real, positive impact on the world.

A career at Google DeepMind offers the opportunity to work closely with some of the best minds within the scientific community and beyond. Our research, technical and operational teams have made cutting-edge breakthroughs in areas like protein structure prediction, mathematics, nuclear fusion, and more.

Our goals are ambitious but will be achieved through the contributions of each individual and team.

Research Scientists at Google DeepMind

Uncategorised

Security Investigations Manager

New York City, New York, US

Senior Employee Relations Partner

Business and Corporate Development Manager (Data Licensing and Partnerships)

Technical Program Manager, Product Inspired Research

Mountain View, California, US

AI Policy Researcher & Analyst

Research Engineer, AI Safety and Alignment

San Francisco, California, US

Research Scientist, AI Safety and Alignment

Executive Assistant to COO (12 month FTC)

Research Engineer, Chip Design

Research Engineer, Robotics

Technical Program Manager, AI Safety

Responsibility and Safety

Research Scientist, Robotics - New York

Research Engineer, AI for Code

A practical and rewarding introduction to AI

Google DeepMind’s Student Researcher Program offers placements across a number of teams, for research, engineering and science roles.

A placement offers a unique opportunity to collaborate with some of the world’s leading thinkers in AI and work on its application for social good. Our projects offer hands-on experience working collaboratively on projects that push the frontiers of AI and science.

The program is open to students enrolled in either a bachelor degree, masters program or PhD program.

Placements are between 12-24 weeks long at a minimum of 80% time.

All placements are colocated with their host, working from the same location

Applications for our 2024 program are now open:

Apply for a BS/MS placement in Canada

Apply for a PhD placement in Canada

Apply for a BS/MS placement in the US

Apply for a PhD placement in the US

Apply for a BS/MS/PhD placement in Europe Middle East & Africa

Explore our other teams and product areas

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Jobs search results, data center technician, hardware.

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Mountain View, CA, USA ; Atlanta, GA, USA ; +11 more ; +10 more

Retail Partner Manager, Consumer Go-To-Market, Chrome OS

Munich, Germany

Director, Data Center Network Delivery

Sunnyvale, CA, USA

Go-To-Market Scale Lead, Data Analytics and AI

Senior hardware engineer, integrated circuit design, quantum ai.

Goleta, CA, USA

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New Taipei, Banqiao District, New Taipei City, Taiwan

Enterprise Field Sales Representative, Retail, Google Cloud

Chicago, IL, USA

Silicon Product Development Engineer, Functional, Google Cloud

Tel Aviv, Israel ; Haifa, Israel

Solution Design Manager, Workforce Solutions

Research intern, phd, summer 2024.

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Applications will be reviewed on a rolling basis and it’s in the applicant's best interest to apply early. The anticipated application window is open until March 29th, 2024 , but may close earlier if all available projects are full. Applications submitted after the application window or once role is closed/projects are full will not be considered.

Participation in the internship program requires that you are located in the United States for the duration of the internship program.

This internship is intended for students in their penultimate academic year, who are pursuing a PhD degree program in Computer Science or a related field. If you are in an earlier academic year we encourage you to apply to the Student Researcher opening.

To start the application process, you will need an updated CV or resume and a current unofficial or official transcript in English. Click on the “Apply” button on this page and provide the required materials in the appropriate sections (PDFs preferred):

• 1. In the “Resume Section:” attach an updated CV or resume.
• 2. In the “Education Section:” attach a current or recent unofficial or official transcript in English.
• Under “Degree Status,” select “Now attending” to upload a transcript.

This role may also be located in our Playa Vista, CA campus.

Minimum qualifications:

• Currently enrolled in a PhD degree in Computer Science, Linguistics, Statistics, Biostatistics, Applied Mathematics, Operations Research, Economics, Natural Sciences, or related technical field.
• Experience in one area of computer science (e.g., Natural Language Understanding, Computer Vision, Machine Learning, Deep Learning, Algorithmic Foundations of Optimization, Quantum Information Science, Data Science, Software Engineering, or similar areas).

Preferred qualifications:

• Currently attending a degree program in the US and available to work full time for 12 weeks outside of university term time.
• In their penultimate academic year or returning to a degree program after completion of the internship.
• Experience as a researcher, including internships, full-time, or at a lab.
• Experience contributing research communities or efforts, including publishing papers in major conferences or journals.
• Experience with one or more general purpose programming languages (e.g., Python, Java, JavaScript, C/C++, etc.).
• Ability to communicate in English fluently.

About the job

Join us for a full-time, 12-14 week paid internship that offers personal and professional development, an executive speaker series, and community-building. Research happens across Google everyday, in many different teams. Our research has already impacted user-facing services across Google, including Search, Maps, and Google Now, and is central to the success of Google Cloud and our planet-scale computing, storage, and networking infrastructure.

Google Research addresses challenges that define the technology of today and tomorrow. From conducting fundamental research to influencing product development, our research teams have the opportunity to impact technology used by billions of people every day. Our teams aspire to make discoveries that impact everyone, and core to our approach is sharing our research and tools to fuel progress in the field -- we publish regularly in academic journals, release projects as open source, and apply research to Google products.

The US base salary range for this full-time position is $109,000-$145,000. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. 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 preferred 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 bonus, equity, or benefits. Learn more about benefits at Google .

Responsibilities

• Develop and execute a research agenda.
• Contribute to a productive and innovative team, including working with peers, managers, and partner teams.

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.

JavaScript must be enabled in order for you to use Google Careers. However, it seems JavaScript is either disabled or not supported by your browser. To view the site, please enable JavaScript by changing your browser options, then try again .

Google PhD Fellowship recipients

Previous years:, algorithms, optimizations and markets.

Brice Huang, Massachusetts Institute of Technology

Debajyoti Kar, Indian Institute of Science

Jamie Tucker-Foltz, Harvard University

Joakim Blikstad, KTH Royal Institute of Technology

Mahdieh Labani, Macquarie University

Rehema Hamis Mwawado, University of Rwanda

Uddalok Sarkar, Indian Statistical Institute Kolkata

Computational Neural and Cognitive Sciences

Gizem Özdil, École polytechnique fédérale de Lausanne

Sreejan Kumar, Princeton University

Bridget Chak, University of Chicago

Li-Wen Chiu, National Yang Ming Chiao Tung University

Md. Saiful Islam, University of Rochester

Rutendo Jakachira, Brown University

Tsai-Min Chen, National Taiwan University

Wenhao Gao, Massachusetts Institute of Technology

Human Computer Interaction

Brianna Wimer, University of Notre Dame

Emily Kuang, Rochester Institute of Technology

Eunkyung Jo, University of California - Irvine

Georgianna Lin, University of Toronto

Gustavo Pacheco Santiago, Universidad Nacional Autónoma de México

Marcelo Marques da Rocha, Universidade Federal Fluminense

Yulia Goldenberg, Ben Gurion University

Zixiong Su, The University of Tokyo

Machine Learning

Berivan Isik, Stanford University

Blake Bordelon, Harvard University

Cristhian Delgado Fajardo, University of Otago

Denish Azamuke, Makerere University

Fuzhao Xue, National University of Singapore

Heinrich Pieter van Deventer, University of Pretoria

Imane Araf, Mohammed VI Polytechnic University

Itamar Franco Salazar Reque, Pontificia Universidad Católica del Perú

Jihoon Tack, Korea Advanced Institute of Science and Technology

Julliet Chepngeno Kirui, Strathmore University

Krystal Dacey, Charles Sturt University

Laura Smith, University of California - Berkeley

Marcos Paulo Silva Gôlo, ​​Universidade de São Paulo

Melisa Yael Vinograd, Universidad de Buenos Aires

Miriam Rateike, Saarland University

Mitchell Wortsman, University of Washington

Natalia Gil Canto, Universidade Estadual de Campinas

Nicolás Esteban Valenzuela Figueroa, Universidad de Chile

Omprakash Chakraborty, Indian Institute of Technology Kharagpur

S. Durga, Indian Institute of Technology Bombay

Strato Angsoteng Bayitaa, C.K. Tedam University of Technology and Applied Sciences

Yiding Jiang, Carnegie Mellon University

Yifan Zhang, National University of Singapore

Machine Perception, Speech Technology and Computer Vision

Antoine Yang, National Institute for Research in Digital Science and Technology (Inria)

Astitva Srivastava, International Institute of Information Technology Hyderabad

Chen Yu, National University of Singapore

Ethan Tseng, Princeton University

Matheus Viana da Silva, Universidade Federal de São Carlos

Sunghwan Hong, Korea University

Sungyeon Kim, Pohang University of Science and Technology

Vincent Milimo Masilokwa Punabantu, University of Cape Town

Yanxi Li, The University of Sydney

Yosef Gandelsman, University of California - Berkeley

Ziqi Huang, Nanyang Technological University

Mobile Computing

Ke Sun, University of California - San Diego

Kyungjin Lee, Seoul National University

Natural Language Processing

Allahsera Auguste Tapo, Rochester Institute of Technology

Cheng-Han Chiang, National Taiwan University

Liunian Li, University of California - Los Angeles

Sarah Masud, Indraprastha Institute of Information Technology Delhi

Sumanth Doddapaneni, Indian Institute of Technology Madras

Zhiqing Sun, Carnegie Mellon University

Privacy and Security

Jiayuan Ye, National University of Singapore

Miranda Wei, University of Washington

Neha Jawalkar, Indian Institute of Science

Yihui Zeng, Arizona State University

Programming Technology and Software Engineering

Aaditya Naik, University of Pennsylvania

Thanh Le-Cong, The University of Melbourne

Quantum Computing

Diego Hernando Useche Reyes, Universidad Nacional de Colombia

Elies Gil-Fuster, Free University of Berlin

Juan David Nieto García, Universidade Estadual de Campinas

Lia Yeh, University of Oxford

Structured Data and Database Management

Zezhou Huang, Columbia University

Systems and Networking

Jennifer Switzer, University of California - San Diego

Jiaxin Lin, University of Texas at Austin

Jinhyung Koo, Daegu Gyeongbuk Institute of Science & Technology

Maurine Chepkoech, University of Cape Town

Qinghao Hu, Nanyang Technological University

Anjali Gupta, Indian Institute of Technology Delhi

Shunhua Jiang, Columbia University

Shyam Sivasathya Narayanan, Massachusetts Institute of Technology

Venkata Naga Sreenivasulu Karnati, Indian Institute of Science

Yang P. Liu, Stanford University

Aditi Jha, Princeton University

Klavdia Zemlianova, New York University

Devon Jarvis, University of the Witwatersrand

Emily Schwenger, Albert Einstein College of Medicine

Reihaneh Torkzadehmahani, TU Munich

Xin Liu, University of Washington

Qian Niu, Kyoto University

Karthik Mahadevan, University of Toronto

Meena Muralikumar, University of Washington

Nika Nour, University of California - Irvine

Pang Suwanaposee, University of Canterbury

Ryan Louie, Northwestern University

Tiffany Li, University of Illinois - Urbana-Champaign

Zhongyi Zhou, The University of Tokyo

Eunji Kim, Seoul National University

Hayeon Lee, Korea Advanced Institute of Science and Technology

Julius von Kügelgen, Max Planck Institute for Intelligent Systems

Kaloma Usman Majikumna, Euromed University of Fes, Morocco

Lily Xu, Harvard University

Maksym Andriushchenko, EPFL

Pierre Marion, Fondation Sciences Mathématiques de Paris

Shashank Rajput, University of Wisconsin - Madison

Sheheryar Zaidi, University of Oxford

Sindy Löwe, University of Amsterdam

Tan Wang, Nanyang Technological University

Xiaobo Xia, University of Sydney

Yixin Liu, Monash University

Efthymios Tzinis, University of Illinois - Urbana-Champaign

Elizabeth Ndunge Mutua, Strathmore University

Haipeng Xiong, National University of Singapore

Jianyuan Guo, University of Sydney

Jiawei Ren, Nanyang Technological University

Juhong Min, Pohang University of Science and Technology

Liliane Momeni, University of Oxford

Qianqian Wang, Cornell University

Shuo Yang, University of Technology Sydney

Tahir Javed, Indian Institute of Technology Madras

Wei-Ting Chen, National Taiwan University

Yuming Jiang. Nanyang Technological University

Yu-Ying Yeh, University of California - San Diego

Binbin Xie, University of Massachusetts - Amherst

Clara Isabel Meister, ETH Zurich

Julia Mendelsohn, University of Michigan

Sachin Kumar, Carnegie Mellon University

Saley Vishal Vivek, Indian Institute of Technology Delhi

Swarnadeep Saha, University of North Carolina - Chapel Hill

Shuyi Wang, The University of Queensland

Thong Nguyen, National University of Singapore

Ussen Kimanuka, Pan African University Institute For Basic Sciences, Technology and Innovation

Amy Elizabeth Gooden, University Kwazulu-Natal

Promise Ricardo Agbedanu, University of Rwanda

Alexander Bienstock, New York University

Daniel De Almeida Braga, Universite Rennes 1

Gaurang Bansal, National University of Singapore

Nicolas Huaman Groschopf, Leibniz University of Hanover

Simon Spies, Max Planck Institute for Software Systems

Ilkwon Byun, Seoul National University

Margaret Fortman, University of Wisconsin - Madison

Oscar Higgott, University College London

Sam Gunn, University of California - Berkeley

Recommender Systems

Jessie J. Smith, University of Colorado - Boulder

Wenjie Wang, National University of Singapore

Nikolaos Tziavelis, Northeastern University

Humphrey Owuor Otieno, University of Cape Town

Jiarong Xing, Rice University

Shweta Pandey, Indian Institute of Science

Sunil Kumar, Indraprastha Institute of Information Technology Delhi

Yang Zhou, Harvard University

Yujeong Choi, Korea Advanced Institute of Science and Technology

Daniel Mutembesa, Makerere University

Kevin Tian, Stanford University

Prerona Chatterjee, Tata Institute of Fundamental Research

Sampson Wong, The University of Sydney

Santhoshini Velusamy, Harvard University

Sruthi Gorantla, Indian Institute of Science

Wenshuo Guo, University of California, Berkeley

Malvern Madondo, Emory University

Steffen Schneider, University of Tübingen

Nalini Singh, Massachusetts Institute of Technology

Roman Koshkin, Okinawa Institute of Science and Technology

Vishwali Mhasawade, New York University

Anupriya Tuli, Indraprastha Institute of Information Technology - Delhi

Chia-Hsing Chiu, National Taiwan University of Science and Technology

Dennis Makafui Dogbey, University of Cape Town

George Hope Chidziwisano, Michigan State University

Harmanpreet Kaur, University of Michigan

Srishti Palani, University of California, San Diego

Amir-Hossein Karimi, Max Planck Institute for Intelligent Systems

Anastasia Koloskova, EPFL, Lausanne

Anirudh Goyal, University of Montreal

Daniel Kang, Stanford University

Elena Fillola, University of Bristol

Emmanuel Chinyere Echeonwu, Nnamdi Azikiwe University, Nigeria

Gal Yona, Weizmann Institute of Science

Hae Beom Lee, KAIST

Jaekyeom Kim, Seoul National University

Logan Engstrom, Massachusetts Institute of Technology

Piyushi Manupriya, Indian Institute of Technology - Hyderabad

Qinbin Li, National University of Singapore

Shen Li, National University of Singapore

Shubhada Agrawal, Tata Institute of Fundamental Research

Theekshana Dissanayake, Queensland University of Technology

Tianyuan Jin, National University of Singapore

Yun Li, The University of New South Wales

Andrea Burns, Boston University

Fangzhou Hong, Nanyang Technological University

Hai-Bin Wu, National Taiwan University

Jogendra Nath Kundu, Indian Institute of Science

Kelvin C.K. Chan, Nanyang Technological University

Sanghyun Woo, KAIST

Sara El-Ateif, National School For Computer Science (ENSIAS)

Soo Ye Kim, KAIST

Tewodros Amberbir Habtegebrial, Technical University of Kaiserslautern

Xinlong Wang, The University of Adelaide

Xueting Li, University of California, Merced

Zhiqin Chen, Simon Fraser University

Byungjin Jun, Northwestern University

Soundarya Ramesh, National University of Singapore

Derguene Mbaye, Universite Cheikh Anta Diop

Eya Hammami, LARODEC

Haoyue Shi, Toyota Technological Institute at Chicago

Kalpesh Krishna, University of Massachusetts Amherst

Peter Hase, University of North Carolina at Chapel Hill

Rochelle Choenni, University of Amsterdam

Chandan Kumar, Indian Institute of Technology - Kharagpur

Kevin Loughlin, University of Michigan

Teodora Baluta, National University of Singapore

Yuqing Zhu, University of California, Santa Barbara

Aishwarya Sivaraman, University of California, Los Angeles

Jenna Wise, Carnegie Mellon University

Alicja Dutkiewicz, Leiden University

Hsin-Yuan Huang, California Institute of Technology

Mykyta Onizhuk, The University of Chicago

Sayantan Chakraborty, Tata Institute of Fundamental Research

Brian Kundinger, Duke University

Yiru Chen, Columbia University

Yu Meng, University of Illinois at Urbana-Champaign

Zheng Wang, Nanyang Technological University

Aishwariya Chakraborty, Indian Institute of Technology - Kharagpur

Alireza Farshin, KTH Royal Institute of Technology

Erika Hunhoff, University of Colorado Boulder

S. VenkataKeerthy, Indian Institute of Technology - Hyderabad

Soroush Ghodrati, University of California, San Diego

Yejin Lee, Seoul National University

Jan van den Brand, KTH Royal Institute of Technology

Mahsa Derakhshan, University of Maryland, College Park

Sidhanth Mohanty, University of California, Berkeley

Computational Neuroscience

Connor Brennan, University of Pennsylvania

Abdelkareem Bedri, Carnegie Mellon University

Brendan David-John, University of Florida

Hiromu Yakura, University of Tsukuba

Manaswi Saha, University of Washington

Muratcan Cicek, University of California, Santa Cruz

Prashan Madumal, University of Melbourne

Alon Brutzkus, Tel Aviv University

Chin-Wei Huang, Universite de Montreal

Eli Sherman, Johns Hopkins University

Esther Rolf, University of California, Berkeley

Imke Mayer, Fondation Sciences Mathématique de Paris

Jean Michel Sarr, Cheikh Anta Diop University

Lei Bai, University of New South Wales

Nontawat Charoenphakdee, The University of Tokyo

Preetum Nakkiran, Harvard University

Sravanti Addepalli, Indian Institute of Science

Taesik Gong, Korea Advanced Institute of Science and Technology

Vihari Piratla, Indian Institute of Technology - Bombay

Vishakha Patil, Indian Institute of Science

Wilson Tsakane Mongwe, University of Johannesburg

Xinshi Chen, Georgia Institute of Technology

Yadan Luo, University of Queensland

Benjamin van Niekerk, University of Stellenbosch

Eric Heiden, University of Southern California

Gyeongsik Moon, Seoul National University

Hou-Ning Hu, National Tsing Hua University

Nan Wu, New York University

Shaoshuai Shi, The Chinese University of Hong Kong

Yifan Liu, University of Adelaide

Yu Wu, University of Technology Sydney

Zhengqi Li, Cornell University

Xiaofan Zhang, University of Illinois at Urbana-Champaign

Anjalie Field, Carnegie Mellon University

Mingda Chen, Toyota Technological Institute at Chicago

Shang-Yu Su, National Taiwan University

Yanai Elazar, Bar-Ilan

Julien Gamba, Universidad Carlos III de Madrid

Shuwen Deng, Yale University

Yunusa Simpa Abdulsalm, Mohammed VI Polytechnic University

Adriana Sejfia, University of Southern California

John Cyphert, University of Wisconsin-Madison

Amira Abbas, University of KwaZulu-Natal

Mozafari Ghoraba Fereshte, EPFL

Yanqing Peng, University of Utah

Huynh Nguyen Van, University of Technology Sydney

Michael Sammler, Saarland University, MPI-SWS

Sihang Liu, University of Virginia

Yun-Zhan Cai, National Cheng Kung University

Aidasadat Mousavifar, EPFL Ecole Polytechnique Fédérale de Lausanne

Peilin Zhong, Columbia University

Siddharth Bhandari, Tata Institute of Fundamental Research

Soheil Behnezhad, University of Maryland at College Park

Zhe Feng, Harvard University

Caroline Haimerl, New York University

Mai Gamal, German University in Cairo

Catalin Voss, Stanford university

Hua Hua, Australian National University

Zhanna Sarsenbayeva, University of Melbourne

Abdulsalam Ometere Latifat, African University of Science and Technology Abuja

Adji Bousso Dieng, Columbia University

Anshul Mittal, IIT Delhi

Blake Woodworth, Toyota Technological Institute at Chicago

Diana Cai, Princeton University

Francesco Locatello, ETH Zurich

Ihsane Gryech, International University Of Rabat, Morocco

Jaemin Yoo, Seoul National University

Maruan Al-Shedivat, Carnegie Mellon University

Ousseynou Mbaye, Alioune Diop University of Bambey

Rendani Mbuvha, University of Johannesburg

Shibani Santurkar, Massachusetts Institute of Technology

Takashi Ishida, University of Tokyo

Chenxi Liu, Johns Hopkins University

Kayode Kolawole Olaleye, Stellenbosch University

Ruohan Gao, The University of Texas at Austin

Tiancheng Sun, University of California San Diego

Xuanyi Dong, University of Technology Sydney

Yu Liu, Chinese University of Hong Kong

Zhi Tian, University of Adelaide

Naoki Kimura, University of Tokyo

Abigail See, Stanford University

Ananya Sai B, IIT Madras

Byeongchang Kim, Seoul National University

Daniel Patrick Fried, UC Berkeley

Hao Peng, University of Washington

Reinald Kim Amplayo, University of Edinburgh

Sungjoon Park, Korea Advanced Institute of Science and Technology

Ajith Suresh, Indian Institute of Science

Itsaka Rakotonirina, Inria Nancy

Milad Nasr, University of Massachusetts Amherst

Sarah Ann Scheffler, Boston University

Caroline Lemieux, UC Berkeley

Conrad Watt, University of Cambridge

Umang Mathur, University of Illinois at Urbana-Champaign

Amy Greene, Massachusetts Institute of Technology

Leonard Wossnig, University College London

Yuan Su, University of Maryland at College Park

Amir Gilad, Tel Aviv University

Nofar Carmeli, Technion

Zhuoyue Zhao, University of Utah

Chinmay Kulkarni, University of Utah

Nicolai Oswald, University of Edinburgh

Saksham Agarwal, Cornell University

Emmanouil Zampetakis, Massachusetts Institute of Technology

Manuela Fischer, ETH Zurich

Pranjal Dutta, Chennai Mathematical Institute

Thodoris Lykouris, Cornell University

Yuan Deng, Duke University

Ella Batty, Columbia University

Neha Spenta Wadia, University of California - Berkeley

Reuben Feinman, New York University

Human-Computer Interaction

Gierad Laput, Carnegie Mellon University

Mike Schaekermann, University of Waterloo

Minsuk (Brian) Kahng, Georgia Institute of Technology

Niels van Berkel, The University of Melbourne

Siqi Wu, Australian National University

Xiang Zhang, The University of New South Wales

Abhijeet Awasthi, Indian Institute of Technology - Bombay

Aditi Raghunathan, Stanford University

Futoshi Futami, University of Tokyo

Lin Chen, Yale University

Qian Yu, University of Southern California

Ravid Shwartz-Ziv, Hebrew University

Shuai Li, Chinese University of Hong Kong

Shuang Liu, University of California - San Diego

Stephen Tu, University of California - Berkeley

Steven James, University of the Witwatersrand

Xinchen Yan, University of Michigan

Zelda Mariet, Massachusetts Institute of Technology

Machine Perception, Speech Technology, and Computer Vision

Antoine Miech, INRIA

Arsha Nagrani, University of Oxford

Arulkumar S, Indian Institute of Technology - Madras

Joseph Redmon, University of Washington

Raymond Yeh, University of Illinois - Urbana-Champaign

Shanmukha Ramakrishna Vedantam, Georgia Institute of Technology

Lili Wei, Hong Kong University of Science & Technology

Rizanne Elbakly, Egypt-Japan University of Science and Technology

Shilin Zhu, University of California - San Diego

Anne Cocos, University of Pennsylvania

Hongwei Wang, Shanghai Jiao Tong University

Jonathan Herzig, Tel Aviv University

Rotem Dror, Technion - Israel Institute of Technology

Shikhar Vashishth, Indian Institute of Science - Bangalore

Yang Liu, University of Edinburgh

Yoon Kim, Harvard University

Zhehuai Chen, Shanghai Jiao Tong University

Imane khaouja, Université Internationale de Rabat

Aayush Jain, University of California - Los Angeles

Gowtham Kaki, Purdue University

Joseph Benedict Nyansiro, University of Dar es Salaam

Reyhaneh Jabbarvand, University of California - Irvine

Victor Lanvin, Fondation Sciences Mathématiques de Paris

Erika Ye, California Institute of Technology

Lingjiao Chen, University of Wisconsin - Madison

Andrea Lattuada, ETH Zurich

Chen Sun, Tsinghua University

Lana Josipovic, EPFL

Michael Schaarschmidt, University of Cambridge

Rachee Singh, University of Massachusetts - Amherst

Stephen Mallon, The University of Sydney

Chiu Wai Sam Wong, University of California, Berkeley

Eric Balkanski, Harvard University

Haifeng Xu, University of Southern California

Motahhare Eslami, University of Illinois, Urbana-Champaign

Sarah D'Angelo, Northwestern University

Sarah Mcroberts, University of Minnesota - Twin Cities

Sarah Webber, The University of Melbourne

Aude Genevay, Fondation Sciences Mathématiques de Paris

Dustin Tran, Columbia University

Jamie Hayes, University College London

Jin-Hwa Kim, Seoul National University

Ling Luo, The University of Sydney

Martin Arjovsky, New York University

Sayak Ray Chowdhury, Indian Institute of Science

Song Zuo, Tsinghua University

Taco Cohen, University of Amsterdam

Yuhuai Wu, University of Toronto

Yunhe Wang, Peking University

Yunye Gong, Cornell University

Avijit Dasgupta, International Institute of Information Technology - Hyderabad

Franziska Müller, Saarland University - Saarbrücken GSCS and Max Planck Institute for Informatics

George Trigeorgis, Imperial College London

Iro Armeni, Stanford University

Saining Xie, University of California, San Diego

Yu-Chuan Su, University of Texas, Austin

Sangeun Oh, Korea Advanced Institute of Science and Technology

Shuo Yang, Shanghai Jiao Tong University

Bidisha Samanta, Indian Institute of Technology Kharagpur

Ekaterina Vylomova, The University of Melbourne

Jianpeng Cheng, The University of Edinburgh

Kevin Clark, Stanford University

Meng Zhang, Tsinghua University

Preksha Nama, Indian Institute of Technology Madras

Tim Rocktaschel, University College London

Romain Gay, ENS - École Normale Supérieure

Xi He, Duke University

Yupeng Zhang, University of Maryland, College Park

Programming Languages, Algorithms and Software Engineering

Christoffer Quist Adamsen, Aarhus University

Muhammad Ali Gulzar, University of California, Los Angeles

Oded Padon, Tel-Aviv University

Amir Shaikhha, EPFL CS

Jingbo Shang, University of Illinois, Urbana-Champaign

Ahmed M. Said Mohamed Tawfik Issa, Georgia Institute of Technology

Khanh Nguyen, University of California, Irvine

Radhika Mittal, University of California, Berkeley

Ryan Beckett, Princeton University

Samaneh Movassaghi, Australian National University

Google Australia PhD Fellowships

Chitra Javali, Security, The University of New South Wales

Dana McKay, Human Computer Interaction, The University of Melbourne

Kwan Hui Lim, Machine Learning, The University of Melbourne

Weitao Xu, Machine Perception, The University of Queensland

Google East Asia PhD Fellowships

Chungkuk YOO, Mobile Computing, Korea Advanced Institute of Science and Technology

Hong ZHANG, Systems and Networking, The Hong Kong University of Science and Technology

Quanming YAO, Machine Learning, The Hong Kong University of Science and Technology

Tian TAN, Speech Technology, Shanghai Jiao Tong University

Woosang LIM, Machine Learning, Korea Advanced Institute of Science and Technology

Ying CHEN, Systems and Networking, Tsinghua University

Google India PhD Fellowships

Arpita Biswas, Algorithms, Indian Institute of Science

Aniruddha Singh Kushwaha, Networking, Indian Institute of Technology Bombay

Anirban Santara, Machine Learning, Indian Institute of Technology Kharagpur

Gurunath Reddy, Speech Technology, Indian Institute of Technology Kharagpur

Google North America, Europe and the Middle East PhD Fellowships

Cameron, Po-Hsuan Chen, Computational Neuroscience, Princeton University

Grace Lindsay, Computational Neuroscience, Columbia University

Martino Sorbaro Sindaci, Computational Neuroscience, The University of Edinburgh

Koki Nagano, Human-Computer Interaction, University of Southern California

Arvind Satyanarayan, Human-Computer Interaction, Stanford University

Amy Xian Zhang, Human-Computer Interaction, Massachusetts Institute of Technology

Olivier Bachem, Machine Learning, Swiss Federal Institute of Technology Zurich

Tianqi Chen, Machine Learning, University of Washington

Emily Denton, Machine Learning, New York University

Yves-Laurent Kom Samo, Machine Learning, University of Oxford

Daniel Jaymin Mankowitz, Machine Learning, Technion - Israel Institute of Technology

Lucas Maystre , Machine Learning, École Polytechnique Fédérale de Lausanne

Arvind Neelakantan, Machine Learning, University of Massachusetts, Amherst

Ludwig Schmidt, Machine Learning, Massachusetts Institute of Technology

Shandian Zhe, Machine Learning, Purdue University, West Lafayette

Eugen Beck, Machine Perception, RWTH Aachen University

Yu-Wei Chao, Machine Perception, University of Michigan, Ann Arbor

Wei Liu, Machine Perception, University of North Carolina at Chapel Hill

Aron Monszpart, Machine Perception, University College London

Thomas Schoeps, Machine Perception, Swiss Federal Institute of Technology Zurich

Chia-Yin Tsai, Machine Perception, Carnegie Mellon University

Hossein Esfandiari, Market Algorithms, University of Maryland, College Park

Sandy Heydrich, Market Algorithms, Saarland University - Saarbrucken GSCS

Rad Niazadeh, Market Algorithms, Cornell University

Sadra Yazdanbod, Market Algorithms, Georgia Institute of Technology

Lei Kang, Mobile Computing, University of Wisconsin

Tauhidur Rahman, Mobile Computing, Cornell University

Yuhao Zhu, Mobile Computing, University of Texas, Austin

Tamer Alkhouli, Natural Language Processing, RWTH Aachen University

Jose Camacho Collados, Natural Language Processing, Sapienza - Università di Roma

Kartik Nayak, Privacy and Security, University of Maryland, College Park

Nicolas Papernot, Privacy and Security, Pennsylvania State University

Damian Vizar, Privacy and Security, École Polytechnique Fédérale de Lausanne

Xi Wu, Privacy and Security, University of Wisconsin

Marcelo Sousa, Programming Languages and Software Engineering, University of Oxford

Xiang Ren, Structured Data and Database Management, University of Illinois, Urbana-Champaign

Andrew Crotty, Systems and Networking, Brown University

Ilias Marinos, Systems and Networking, University of Cambridge

Kay Ousterhout, Systems and Networking, University of California, Berkeley

Bahar Salehi, Natural Language Processing, University of Melbourne

Siqi Liu, Computational Neuroscience, University of Sydney

Qian Ge, Systems, University of New South Wales

Bo Xin, Artificial Intelligence, Peking University

Xingyu Zeng, Computer Vision, The Chinese University of Hong Kong

Suining He, Mobile Computing, The Hong Kong University of Science and Technology

Zhenzhe Zheng, Mobile Networking, Shanghai Jiao Tong University

Jinpeng Wang, Natural Language Processing, Peking University

Zijia Lin, Search and Information Retrieval, Tsinghua University

Shinae Woo, Networking and Distributed Systems, Korea Advanced Institute of Science and Technology

Jungdam Won, Robotics, Seoul National University

Palash Dey, Algorithms, Indian Institute of Science

Avisek Lahiri, Machine Perception, Indian Institute of Technology Kharagpur

Malavika Samak, Programming Languages and Software Engineering, Indian Institute of Science

Google Europe and the Middle East PhD Fellowships

Heike Adel, Natural Language Processing, University of Munich

Thang Bui, Speech Technology, University of Cambridge

Victoria Caparrós Cabezas, Distributed Systems, Swiss Federal Institute of Technology Zurich

Nadav Cohen, Machine Learning, The Hebrew University of Jerusalem

Josip Djolonga, Probabilistic Inference, Swiss Federal Institute of Technology Zurich

Jakob Julian Engel, Computer Vision, Technische Universität München

Nikola Gvozdiev, Computer Networking, University College London

Felix Hill, Language Understanding, University of Cambridge

Durk Kingma, Deep Learning, University of Amsterdam

Massimo Nicosia, Statistical Natural Language Processing, University of Trento

George Prekas, Operating Systems, École Polytechnique Fédérale de Lausanne

Roman Prutkin, Graph Algorithms, Karlsruhe Institute of Technology

Siva Reddy, Multilingual Semantic Parsing, The University of Edinburgh

Immanuel Trummer, Structured Data Analysis, École Polytechnique Fédérale de Lausanne

Margarita Vald, Security, Tel Aviv University

Google United States/Canada PhD Fellowships

Waleed Ammar, Natural Language Processing, Carnegie Mellon University

Justin Meza, Systems Reliability, Carnegie Mellon University

Nick Arnosti, Market Algorithms, Stanford University

Osbert Bastani, Programming Languages, Stanford University

Saurabh Gupta, Computer Vision, University of California, Berkeley

Masoud Moshref Javadi, Computer Networking, University of Southern California

Muhammad Naveed, Security, University of Illinois at Urbana-Champaign

Aaron Parks, Mobile Networking, University of Washington

Kyle Rector, Human Computer Interaction, University of Washington

Riley Spahn, Privacy, Columbia University

Yun Teng, Computer Graphics, University of California, Santa Barbara

Carl Vondrick, Machine Perception,, Massachusetts Institute of Technology

Xiaolan Wang, Structured Data, University of Massachusetts Amherst

Tan Zhang, Mobile Systems, University of Wisconsin-Madison

Wojciech Zaremba, Machine Learning, New York University

Guosheng Lin, Machine Perception, University of Adelaide

Kellie Webster, Natural Language Processing, University of Sydney

All Intern Salaries

Software Engineer Intern

Summer 2024

$55.76 / hr

New York City, NY – $2,333 / mo housing, $3,000 relocation

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Procter & Gamble (P&G)

Phd intern research & development.

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Begin a meaningful career right here.

Job Location

Westchester

Job Description

Internship in the Smart Products team.

Job Qualifications

Requirements

PhD student in the field of Computer Science, Electrical engineering, Mathematics, Physics, a related field, or equivalent. Proficiency in Python programming and hands on experience with frameworks such as PyTorch is required. Ideal candidate is expected to be working in deep learning for time series with special interest/demonstrated experience in unsupervised/semi-supervised/self-supervised learning. Experience with developing sensing technologies or systems based on deep learning or machine learning methods enabling long-horizon reasoning. Proven track record of achieving significant results as demonstrated by grants, fellowships, patents or publications at leading workshops, journals or conferences in Machine learning (NeurIPS, ICML, ICLR) or robotics (IROS, RSS, ICRA, CoRL).

Just So You Know:

Compensation for roles at P&G varies depending on a wide array of non-discriminatory factors including but not limited to the specific office location, role, degree/credentials, relevant skill set, and level of relevant experience. At P&G compensation decisions are dependent on the facts and circumstances of each case. Total rewards at P&G include salary + bonus (if applicable) + benefits. Your recruiter may be able to share more about our total rewards offerings and the specific salary range for the relevant location(s) during the hiring process.

We are committed to providing equal opportunities in employment. We value diversity and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Immigration Sponsorship is not available for this role. For more information regarding who is eligible for hire at P&G along with other work authorization FAQ’s, please click HERE.

Procter & Gamble participates in e-verify as required by law.

Qualified individuals will not be disadvantaged based on being unemployed.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Job Schedule

Job Segmentation

Experienced Professionals (Job Segmentation)

Starting Pay / Salary Range

$55.00 – $61.00 / hour

Fulfilling the Promise