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Internship Google Shopping Jobs (NOW HIRING)

Marketing Intern - Spring 2016

New York, NY

$16.50 - $22/hr

Our iOS app lets shoppers discover their favorite deals, sales, and events in over 1,800 malls in ... Our internship provides a great opportunity to engage with hands-on real marketing projects with ...

Marketing Intern - Spring 2016

New York, NY · On-site

$16.50 - $22/hr

Our iOS app lets shoppers discover their favorite deals, sales, and events in over 1,800 malls in ... Our internship provides a great opportunity to engage with hands-on real marketing projects with ...

$230 - $262/hr

At least 6 years of experience in software engineering (Internship experience does not apply)* At ... Microsoft Azure, Google Cloud)**Preferred Qualifications:*** Master's Degree* 9+ years of ...

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Internship Google Shopping information

What is the difference between Internship Google Shopping vs Google Ads Intern?

AspectInternship Google ShoppingGoogle Ads Intern
Required CredentialsBasic marketing knowledge, familiarity with e-commerceBasic digital advertising understanding, marketing background
Work EnvironmentCollaborative e-commerce and advertising teams, online platformsDigital marketing teams, online ad campaigns
Industry UsagePrimarily in e-commerce and retail sectorsAcross various industries using Google Ads
Search & Comparison IntentUnderstanding differences in Google Shopping and Google Ads roles

Internship Google Shopping focuses on managing product listings and shopping campaigns within e-commerce platforms, while Google Ads Interns work on broader online advertising campaigns across multiple channels. Both roles require basic marketing knowledge and familiarity with digital tools, but Google Shopping internships are more specialized in product listing ads, whereas Google Ads internships cover a wider range of ad formats and strategies.

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Infographic showing various Internship Google Shopping job openings in the United States as of August 2026, with employment types broken down into 49% Full Time, 50% Part Time, and 1% Contract. Highlights an 99% Physical, and 1% Remote job distribution.

Senior Research Scientist, Generative Media, Apparel ML

Google

Mountain View, CA • On-site

$116K - $148K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago

New


Google rating

8.8

Company rating: 8.8 out of 10

Based on 103 frontline employees who took The Breakroom Quiz

49th of 246 rated software companies


Job description

info_outline
X In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:
  • Health, dental, vision, life, disability insurance
  • Retirement Benefits: 401(k) with company match
  • Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
  • Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
  • Maternity Leave (Short-Term Disability Baby Bonding): 28-30 weeks
  • Baby Bonding Leave: 18 weeks
  • Holidays: 13 paid days per year
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; New York, NY, USA; Seattle, WA, USA.
Minimum qualifications:
  • PhD in Computer Science, a related field, or equivalent practical experience.
  • 2 years of experience in computer vision.
  • Experience with C , Python, generative AI, and machine learning.
  • One or more scientific publication submission(s) for conferences, journals, or public repositories (such as CVPR, ICCV, NeurIPS, ICML, ICLR, etc.).

Preferred qualifications:
  • 1 year of experience leading research efforts and influencing other researchers.
  • Experience with 3D human modeling.

About the job
As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.
As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.
Users come first at Google. Nowhere is this more important than on our Advertising and Commerce team: we believe that ads and commercial information can be highly useful to our users if that information is relevant to what our users wish to find or do. Advertisers worldwide use Google Ads to promote their products; publishers use AdSense to serve relevant ads on their website; and business around the world use our products (like Google Shopping, and Google Wallet) to support their online businesses and bring users into their offline stores. We are constantly innovating to deliver the most effective advertising and commerce opportunities of tomorrow.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $174000 - $252000 (USD) 15% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities
  • Conduct research and drive production engineering in computer goals, graphics, and generative AI at scale.
  • Develop advanced generative media models for fit estimation, virtual try-on, human visualization, home/spatial rendering, and broader shopping experiences.
  • Implement, train, evaluate, and iterate on machine learning models, launching products at scale in collaboration with production teams.
  • Drive in agentic systems and development workflows.
  • Mentor interns and collaborate closely with cross-functional team members to deliver research, models, and products.

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.
Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

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