google brain phd internship

Student Researcher internship opportunities at Google Brain – apply by 4/1

February 24, 2022

The team at Google Brain is looking for outstanding Ph.D. students (expected graduation after 2023) who are interested in student researcher ( https://careers.google.com/jobs/results/91522563181552326-student-researcher-phd-2022/ ) internships this year 2022. The team primarily works on multimodal (image, text, video, audio) representation pretraining, zero-shot/few-shot learning, and multimodal generative modeling. We are a highly interdisciplinary team focused on developing cutting-edge methods for real-world problems at large scales. The goal of the internship is to explore new solutions to topics (often defined by you!) in related areas of multimodal machine learning and publish at top-tier venues. The student researcher role is highly flexible to support long-term collaborations and even part-time positions during your Spring/Summer/Fall semesters. If you’re interested, please send your resume to [email protected] .

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Google Brain Team

Make machines intelligent. Improve people’s lives.

Research Freedom

Google Brain team members set their own research agenda, with the team as a whole maintaining a portfolio of projects across different time horizons and levels of risk.

Google Scale

As part of Google and Alphabet, the team has resources and access to projects impossible to find elsewhere. Our broad and fundamental research goals allow us to actively collaborate with, and contribute uniquely to, many other teams across Alphabet who deploy our cutting edge technology into products.

Open Culture

We believe that openly disseminating research is critical to a healthy exchange of ideas, leading to rapid progress in the field. As such, we publish our research regularly at top academic conferences and release our tools, such as TensorFlow, as open source projects.

Working on the Brain Team

• Looking Back on 2017
• Meet a few of our machine learning makers
• Colin Raffel's Year at Brain
• Google Brain Residency Program — 7 months in and looking ahead
• Google Brain Residency Program — One Year Later
• Google Brain Team's Approach to Research
• Looking Back on 2016
• Reddit AMA 2016
• Reddit AMA 2017
• The Great A.I. Awakening

Papers Accepted to NIPS, 2017

• A Meta-Learning Perspective on Cold-Start Recommendations for Items
• AdaGAN: Boosting Generative Models
• Affine-Invariant Online Optimization
• Approximation and Convergence Properties of Generative Adversarial Learning
• Attention is All You Need
• Avoiding discrimination through causal reasoning
• Bridging the Gap Between Value and Policy Based RL
• Dynamic Routing between Capsules
• Filtering Variational Objectives
• Interpolated Policy Gradient: Merging On-Policy and Off-Policy Gradient Estimation for Deep Reinforcement Learning
• Investigating the learning dynamics of deep neural networks using random matrix theory
• Learning Hierarchical Information Flow with Recurrent Neural Modules
• Modulating early visual processing by language
• Multi-Armed Bandits with Metric Movement Costs
• Nonlinear random matrix theory for deep learning
• On Blackbox Backpropagation and Jacobian Sensing
• PASS-GLM: polynomial approximate sufficient statistics for scalable Bayesian GLM inference
• REBAR: Low-variance, unbiased gradient estimates for discrete latent variable models
• Reducing Reparameterization Gradient Variance
• SGD learns the conjugate class of the network
• SVCCA: Singular Vector Canonical Correlation Analysis for Deep Understanding and Improvement
• The Unreasonable Effectiveness of Random Orthogonal Embeddings
• Value Prediction Network

Papers Accepted to CoRL, 2017

• End-to-End Learning of Semantic Grasping
• Learning Robotic Manipulation of Granular Media
• Manifold Regularization for Kernelized LSTD
• Trust-PCL: An Off-Policy Trust Region Method for Continuous Control

Some of Our Research Areas

Some of our team, join the team.

Most of the Brain team is based in Mountain View, but we have smaller groups of team members in Cambridge (Massachusetts), London, Montreal, New York, San Francisco, Toronto and Zurich.

Internships

Internships in business, engineering and technology, and more

You can explore all open internships on the Google Careers site.

Our interns

#GoogleInterns work across Google, including being part of various teams like software engineering, business, user experience, and more. With internships across the globe, we offer many opportunities to grow with us and help create products and services used by billions. Come help us build for everyone.

Browse our internships

The internships below are not exhaustive, and may or may not be currently available, but provide a taste of the various internships Google offers.

Showing 9 results

Business Internships

Business internships include multiple teams and roles within the business world at Google. Available outside of the united States, the internship is for undergraduate and graduate students with qualifications and application dates varying by location.

STEP Internship

STEP (Student Training in Engineering Program) is a development project that is focused on students that have a passion for technology. Requirements and application dates vary location.

Software Engineering Internship

Software engineering internships are available throughout the globe to undergraduate and graduate/PhD students, with rolling application dates (depending on location). Our interns have a broad set of technical skills, enable them to tackle some of technology's greatest challenges.

Associate Product Manager Internship

Our interns bridge technical and business worlds, designing technology with engineers and then zooming out of lead matrix teams such as Sales, Marketing, and Finance, to name a few. The internship is available globally, with varying requirements and application dates.

Legal Internship

Offered in certain countries outside of North America, the Legal internship is open to students majoring or specializing in legal studies. Applications generally open in October.

BOLD Internship

BOLD interns join teams across Sales, Marketing, and People Operations to identify challenges, collaborate on building solutions, and drive meaningful change for clients and users - all while developing skills and building careers. Applications open in October for rising undergraduate seniors.

MBA Internship

Our MBA internships are offered throughout the globe, and interns are able to put their education to use on day one. Available to students currently enrolled in a MBA program (with specific rquirements tied to the internship location, and applications open in September and October).

Korean Veteran Business Internship

Veteran Business Internship is designed for students who are direct descendants of Korean veterans. It is a 6-month upskilling program and includes multiple teams and roles in the business world at Google.

Hardware Engineering Internship

As a Hardware Engineering Intern, you will work on our core Consumer Hardware products. The teams you work with design, develop, and deploy next generation consumer hardware while ensuring that this equipment is reliable.

Google Internship FAQs

Want to learn more about internships at Google? This collection shares some of the most common questions we get from across the globe (for the best info on particular roles, search our jobs page and check each role’s job description). Want more help to prepare? Head to our Google Students YouTube page and find our Virtual Career Fair, tips, info, and more.

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SCHOLARSHIP

Generation Google Scholarship (APAC)

Designed to help students pursuing computer science degrees excel in technology and become leaders in the field. We strongly encourage women to apply.

APPRENTICESHIP

Apprenticeships

Apprenticeships join different teams to gain practical skills while at Google, and student towards an externally-recognized qualification.

We've curated good stuff like playlists, technical development resources, and other material to help you be your best

The value of a computer science internship: a Google Brain intern shares advice with fellow students

Nation-wide research conducted on behalf of the American Association of Colleges and Universities (AAC&U) indicates that 94% of the industry executives and hiring managers surveyed are more likely to hire a recent graduate who has held an internship with a company or organization than an applicant who has not had this experience. 

Internships are especially important among computer science students who may not realize the ubiquity of computing across industries and the depth and breadth of opportunities that await them after graduation.

The Department of Computer Science at Virginia Tech is committed to providing quality experiential learning opportunities for all students, including internships both off and on campus. Of those students who plan to graduate from the department in 2022-23, 74% have completed at least one internship. 

“We are always trying to diversify the pool of available internships to enable every student to attend at least one internship before graduation,” says assistant professor and CS experiential learning coordinator Mohammed Seyam.

Julia Costello, who serves as the strategic partnership coordinator and runs the CS|Source Career Fairs each semester, credits the hands-on aspect of internships with helping students apply the skills they’ve learned in class in real-time professional settings. “Internships add a key building block to academic learning for a successful career,” says Costello. 

In fact, according to a recent survey of graduating seniors in computer science, 62% of those students who completed at least one internship were offered a permanent position at their internship location upon graduation.

The value of completing an internship is well-documented; however, the process of securing an internship might not be as clear.  To help clarify the process, we spoke to graduate student Aditya Shah about his internship experiences as an intern with the Google Brain research team at their offices in Seattle.

CS@VT : Your research areas are Natural Language Understanding, Information Extraction and Multimodal Machine Learning, and Joint Language-Vision Model. Could you tell me more about them? How do they apply to your research at Google?

Shah: These are subfields under a broader umbrella of AI which uses text, images and text, or image and video and text, etc, and extracts meaningful information from them. At Google, I’m currently working on improving the underlying machine learning (ML) models used for Multimodal Document Extraction. For example, given a PDF document like a W2 or invoice, we would like to extract all the relevant important information from the document. Since we have different modalities like text or images of scanned documents, we call it multimodal.

My work [at Google] mainly focuses on improving the underlying machine learning models that Google uses for Document AI. I collaborate with DeepMind and other researchers to come up with a model that yields better performance for extracting information from the document.

CS@VT: What prompted you to apply for an internship with Google?

Shah: Google has always been one of the dominant players in AI research. The exposure to different projects, the scalability, and their impact are massive. You get to work on products that will be used by billions of people. Everyone here is extremely talented. All of this makes Google an ambitious choice, especially for AI research. 

CS@VT: What advice do you have for students who want to pursue similar research internships? 

Shah: This can be quite subjective depending on the domain. For machine learning and artificial intelligence, having strong publications and relevant research experience can make you stand out from other applicants. I won’t say it’s impossible to get a research internship without a good publication, but it’s very, very competitive, especially in big tech companies. So you can start by finding out your area of interest. In research, it’s important to identify that one area of niche. Reach out to different professors for a potential research project and try to publish good papers. Along with this, make sure you have good knowledge of current research trends going on in your field.

CS@VT: What are your main takeaways from Google Brain’s application process? 

Shah:  Getting an interview call for an ML research role as a “non-Ph.D” student can be more challenging than actually cracking the interview. So, if your profile aligns well with the role, reach out to people for a referral. A referral from a relevant person can go a long way in getting a call for competitive roles. For ML research roles, sound knowledge of ML and math with relevant publications is a plus.

In addition to our interview, Shah answered student questions about his internship experience, which can be viewed on the department's Youtube channel . 

This interview has been edited for length and clarity. 

Written by Tayler Butters, CS Communications Intern.

Shah's Application Experience 

With a referral from a Senior Research Scientist at Google Brain Shah was invited to a total of six interviews:

• Three interviews were general in nature. They were open-ended and primarily focused on his past research and current trends in natural language processing, deep learning, research design, and math.
• Afterward, he completed a project preference questionnaire and was matched with a project and project manager.
• The final three interviews were specific to the projects he selected. These interviews were based on project details and were designed to gauge his familiarity with the research involved.

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Life at Google

Getting to know a research intern: Renata Khasanova

Nov 07, 2018

[[read-time]] min read

Google's research tackles the most challenging problems in CS and related fields. Being bold and taking risks is essential to what we do, and research teams are embedded throughout Google, allowing our discoveries to affect billions of users each day.

The compelling benefit to researchers is that their innovations can be implemented fast and big. Google’s unique infrastructure facilitates ideas’ speed to market – allowing their ideas to be trialled by millions of users before their papers are even published.

Today we’re talking to PhD Research Intern, Renata Khasanova, a student from École Polytechnique Fédérale de Lausanne in Switzerland. As an intern with one of our Google AI research teams in the Zürich office, Renata’s work focused on noise resynthesis. Read on!

Zoom of dancer’s back with three variations: 1. normal compressed version 2. uncompressed original 3. compressed version with added noise.

In our study we looked at the impact of noise generation within the PIK image compression algorithm . With higher compression densities, details disappear and images look overly smooth. Our noise re-generation system keeps the images looking more natural even when aggressively compressed.

Noise regeneration system improves the perceived quality of lossy compression algorithms by adding 'texture'.

In both experiments we conducted (one focused on perceived quality, the other on perceived authenticity), we saw improvements well above the 95% confidence level. The images are more pleasant for the users and the added noise makes compressed images look more natural.

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Google Research Scientist Salaries

Research Scientist compensation in India at Google ranges from $281K per year for L4 to $481K per year for L5. The median compensation in India package totals $423K. View the base salary, stock, and bonus breakdowns for Google's total compensation packages. Last updated: 4/25/2024

Average Compensation By Level .css-s9ggwg{z-index:1500;pointer-events:none;}.css-s9ggwg[data-popper-placement*="bottom"] .MuiTooltip-arrow{top:0;margin-top:-0.71em;}.css-s9ggwg[data-popper-placement*="bottom"] .MuiTooltip-arrow::before{transform-origin:0 100%;}.css-s9ggwg[data-popper-placement*="top"] .MuiTooltip-arrow{bottom:0;margin-bottom:-0.71em;}.css-s9ggwg[data-popper-placement*="top"] .MuiTooltip-arrow::before{transform-origin:100% 0;}.css-s9ggwg[data-popper-placement*="right"] .MuiTooltip-arrow{left:0;margin-left:-0.71em;height:1em;width:0.71em;}.css-s9ggwg[data-popper-placement*="right"] .MuiTooltip-arrow::before{transform-origin:100% 100%;}.css-s9ggwg[data-popper-placement*="left"] .MuiTooltip-arrow{right:0;margin-right:-0.71em;height:1em;width:0.71em;}.css-s9ggwg[data-popper-placement*="left"] .MuiTooltip-arrow::before{transform-origin:0 0;}

Given Google sometimes issues offers with an irregular vesting schedule (33%, 33%, 22%, 12%), the average total compensation is calculated by dividing the total stock grant evenly by 4

Latest Salary Submissions

Vesting schedule.

At Google, Main RSUs are subject to a 4-year vesting schedule:

38 % vests in the 1st -year ( 3.17 % monthly )

32 % vests in the 2nd -year ( 2.67 % monthly )

20 % vests in the 3rd -year ( 1.67 % monthly )

10 % vests in the 4th -year ( 0.83 % monthly )

33 % vests in the 1st -year ( 2.75 % monthly )

33 % vests in the 2nd -year ( 2.75 % monthly )

22 % vests in the 3rd -year ( 1.83 % monthly )

12 % vests in the 4th -year ( 1.00 % monthly )

Google commonly refers to RSU as GSU (Google Stock Unit). Although the name is different, it is the same as RSU's. Google's Vesting Schedule may vary between monthly and quarterly vesting depending on the number of shares you recieve: less than 32 GSUs (Annually), 32 - 63 GSUs (Semi-annually), 64 - 159 GSUs (Quarterly) and 160+ GSUs (Monthly).

50 % vests in the 1st -year ( 4.17 % monthly )

28 % vests in the 2nd -year ( 2.33 % monthly )

12 % vests in the 3rd -year ( 1.00 % monthly )

36 % vests in the 1st -year ( 3.00 % monthly )

16 % vests in the 4th -year ( 1.33 % monthly )

25 % vests in the 1st -year ( 2.08 % monthly )

25 % vests in the 2nd -year ( 2.08 % monthly )

25 % vests in the 3rd -year ( 2.08 % monthly )

25 % vests in the 4th -year ( 2.08 % monthly )

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Google | San Jose, CA, USA

Minimum qualifications

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree in an industry setting.
• 2 years of experience with data structures or algorithms in either an academic or industry setting.
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Software Engineering Manager, Content Safety Platform

Google | Belo Horizonte, State of Minas Gerais, Brazil ; São Paulo, State of São Paulo, Brazil

• Bachelor's degree or equivalent practical experience.
• 8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
• 3 years of experience in a technical leadership role overseeing projects, with 2 years of experience in a people management, supervision/team leadership role.

Cloud Technical Solutions Engineer, Security

Google | Mexico City, CDMX, Mexico

• Bachelor's degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience in technical support, professional services, software development.
• 2 years of experience coding in a general purpose language (e.g., Java, C, C++, Python, Shell, Go or JavaScript, etc.) or in system design.
• 2 years of experience troubleshooting and advocating for customers' needs, and triaging technical issues (e.g., hardware, software, application, operational, process).

Data Scientist, Product, Google One

Google | Bangalore, Karnataka, India

• Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field, or equivalent practical experience.
• 10 years of experience with analysis applications (e.g., extracting insights, performing statistical analysis, or solving business problems), and coding (e.g., Python, R, SQL).
• Experience in articulating product questions, pulling data from datasets (e.g., SQL), and using statistics.

Data center E-technicus - Onderhoud & operations

Google | Eemshaven, Netherlands

• MBO4/HBO of vergelijkbaar niveau en/of praktijkervaring
• Ervaring met onderhoud van laag en middenspanningsinstallaties

Data Center Facilities Technician, Electrical

Google | Saint-Ghislain, Belgium

• Associate's degree, trade school certification, or other verifiable training in a relevant technical field, or equivalent practical experience.
• Experience in low or medium voltage maintenance and operations.

Program Manager II, Supply Chain Spares Analytics, Data Center Operations

Google | Atlanta, GA, USA

• 2 years of experience in program or project management.
• Experience with materials planning, forecasting, demand planning, inventory, and supply chain management.

Senior Account Manager, Telecom

Google | New York, NY, USA

• 8 years of experience in digital advertising, consultative sales, digital media sales, business development, online media environment, or digital marketing roles.

Materials Engineer, Physical Infrastructure

Google | Sunnyvale, CA, USA

• Bachelor's degree in Mechanical Engineering, Product Design, or related field, or equivalent practical experience.
• 8 years of experience designing mechanical components such as plastic or metal parts, mechanical assemblies, printed circuit boards, or flexes.
• 8 years of experience using computer-aided design tools such as 3D MCAD, NX, Creo, or Solidworks.
• Experience in materials science and engineering applied to research and product development.

Product Manager, Google Classroom

• 4 years of experience in software product management.
• Experience developing Internet products and technologies.
• Experience creating product roadmaps from conception to launch, driving the product vision, defining go-to-market strategy, and leading design discussions.

Strategic Negotiator, Data Center Portfolio Manager

Google | Singapore

• Bachelor's degree in Business Management, Real Estate, Public Policy, Finance, Technology, Engineering, or equivalent practical experience.
• 4 years of experience negotiating bilateral real estate and infrastructure agreements.
• Experience managing project delivery, including project scope, time, and budget.

Government Affairs and Public Policy Manager, Ads

Google | Tokyo, Japan

• 9 years of experience working on technology policy issues within government, think tanks, public interest groups, or related industry associations.
• Ability to communicate in English and Japanese fluently as this is a customer-facing role that requires interactions in English and Japanese with local stakeholders.

Senior Motion Designer, YouTube

YouTube | San Bruno, CA, USA

• Bachelor's degree in Design, Human-Computer Interaction, Computer Science, a related field, or equivalent practical experience.
• 6 years of experience in product design or UX.
• Motion design experience related to physics, patterns, and visual design elements.
• Portfolio highlighting multiple projects and your direct contributions.

CPU CAD Methodology Engineer II

Google | New Taipei, Banqiao District, New Taipei City, Taiwan

• Bachelor's degree in Computer Science, Electrical Engineering, Computer Engineering, a related technical field, or equivalent practical experience.
• 4 years of experience in developing high-performance, low-power design methodology or CAD flows in synthesis and implementation areas.
• Experience in writing production scripts for implementation and sign-off tools.

Policy Communications Manager, YouTube

YouTube | Washington D.C., DC, USA

• 7 years of experience in public relations, media relations, or communications.
• Experience of the policymaker and regulatory environment in the United States, or relevant international experience.
• Experience driving policy-focused media campaigns within organizations.
• Experience with communications related to company, operational, or reputational issues.

Data Center Technician, Engineering Field Services

Google | Reston, VA, USA

• Experience in operating systems and networking protocols.
• Experience in a data center, network operation center, help desk, or similar environments.
• Experience in diagnosing and troubleshooting computer and server hardware.

Security Sales Specialist, VirusTotal (German)

Google | Munich, Germany ; Berlin, Germany ; +2 more ; +1 more

• Candidates will typically have 7 years of experience in a sales role in the enterprise software or cloud space.
• Candidates will typically have 3 years of experience in the enterprise cybersecurity space.
• Ability to communicate in German fluently to support client relationship management in this region.

UX Researcher, Mixed Methods, Privacy Sandbox

Google | Kraków, Poland

• Bachelor's degree in Human-Computer Interaction, Cognitive Science, Statistics, Psychology, Anthropology, a related field, or equivalent practical experience.
• Candidates will typically have 4 years of experience in an applied research setting, or similar.
• Experience with research design utilizing various methods (e.g., usability studies, contextual inquiry, surveys, etc.).
• Experience with product research in an usability or generative setting.

Design Verification Engineer

• Bachelor's degree in Electrical Engineering, Computer Science, or equivalent practical experience
• 2 years of experience working with digital logic at RTL level using System Verilog or C/C++

Web Solutions Engineering Manager, YouTube

YouTube | San Bruno, CA, USA ; Mountain View, CA, USA ; +2 more ; +1 more

• Bachelor's degree in Computer Science, Electrical Engineering, Math, a related quantitative field, or equivalent practical experience in software development.
• 9 years of experience building and testing APIs or web applications.
• 8 years of experience in software development and design.
• 4 years of experience as a Tech Lead or Engineering Manager.
• 4 years of experience working with teams and business stakeholders to create product roadmaps.