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Google Students Jobs (NOW HIRING)

JerseySTEM, Inc.

TECH300: Google Admin Team Lead

K-12 educators, retirees, veterans, interns, and students are exempt from the deposit. Overview ... Manage a team of Google Administrators responsible for user accounts, security settings, and ...

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Google Students information

Do Google student researchers get paid?

Yes, Google Student Researchers are typically paid for their work, which involves conducting research projects, gaining practical experience, and developing skills in areas like machine learning and data analysis. Compensation varies by location and program specifics but generally includes a stipend or hourly wage during the internship or research period.

What can I expect from the mentorship and training opportunities as a Google Student?

As a Google Student, you will be paired with experienced mentors who provide guidance on both technical projects and personal development. The program includes onboarding sessions, access to learning resources, workshops, and regular feedback to help you grow professionally. You will often collaborate with teams on meaningful projects, allowing you to apply your skills while learning industry best practices. This structured support system not only helps you build confidence in your abilities but also expands your professional network within Google.

How to work at Google as a student?

To work at Google as a student, you can apply for internships, which are typically available for undergraduate and graduate students through the Google Careers website. Internships often require a strong academic record, relevant skills such as programming or data analysis, and may involve technical interviews. Participating in university recruiting events and building a portfolio of projects can also improve your chances.

What is a Google Students job?

A Google Students job refers to internships, apprenticeships, and entry-level opportunities that Google offers to students and recent graduates. These roles provide hands-on experience in various fields such as engineering, marketing, and product management. Students gain valuable industry insights, work on real projects, and collaborate with seasoned professionals. Opportunities vary by location, eligibility, and program type. More details can be found on Google's careers website.

Can I get a job with Google with no experience?

Google offers internships and entry-level positions that sometimes do not require extensive experience, focusing instead on skills, problem-solving ability, and relevant coursework. Candidates often need to demonstrate proficiency in technical tools, coding languages, or other relevant skills through projects or certifications, but prior work experience is not always mandatory for these roles.

What job makes $10,000 a month without a degree?

High-paying roles such as freelance software developers, digital marketers, or sales professionals can earn $10,000 or more per month without a degree, often through skills, experience, and building a strong client base or network. These jobs typically require self-education, certifications, or portfolio work rather than formal degrees.

What are the key skills and qualifications needed to thrive in the Google Students position, and why are they important?

To thrive as a Google Student (such as an intern or participant in student programs at Google), you typically need a strong academic background in relevant fields like computer science, engineering, or business, along with demonstrated problem-solving abilities. Experience with programming languages (such as Python, Java, or C++), familiarity with development tools, and participation in technical competitions or projects are often expected. Strong communication, teamwork, and adaptability are crucial soft skills in these dynamic learning environments. These qualities are vital for making meaningful contributions, learning rapidly, and performing well in Google's fast-paced, collaborative culture.

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Google Students jobs near you
Infographic showing various Google Students job openings in the United States as of June 2026, with employment types broken down into 36% Full Time, 61% Part Time, 1% Temporary, and 2% Contract. Highlights an 69% Physical, 3% Hybrid, and 28% Remote job distribution.

AI Engineer, Advanced Solutions Lab, Google Cloud

Google

Chicago, IL • On-site

Full-time

Posted 4 days ago

Key responsibilities

  • Deliver and enhance the Machine Learning and Generative AI curriculum for participants in the Advanced Solutions Lab.

  • Lead and support customers' machine learning projects from framing to implementation within the Advanced Solutions Lab.

  • Design AI and machine learning curriculum by analyzing market trends and customer needs in collaboration with Google experts.

Google rating

8.8

Company rating: 8.8 out of 10

Based on 99 frontline employees who took The Breakroom Quiz

34th of 192 rated software companies

Job description

info_outline
X Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Chicago, IL, USA; Atlanta, GA, USA; Austin, TX, USA.
Minimum qualifications:
  • Bachelor's degree in Engineering, Computer Science, a related field, or equivalent practical experience.
  • 6 years of experience coding with one or more programming languages (e.g., Java, C/C , Python).
  • 3 years of experience building production artificial intelligence (AI) and machine learning (ML) models or agentic solutions models for use cases (e.g., tabular data, images, video, speech, and unstructured text) with TensorFlow, Keras, JAX, Spark ML, or Scikit Learn.
  • Experience conducting data and machine learning (ML) technical training in a client-facing technical consulting role.
  • Experience architecting cloud solutions on Google Cloud Platform or other public cloud models.

Preferred qualifications:
  • Master's degree or PhD in Computer Science, Mathematics, or other quantitative field, or equivalent practical experience.
  • Experience in machine learning (ML).
  • Experience working in a technology area.
  • Experience taking on new material and delivering it to clients and students.
  • Knowledge of data warehousing concepts, including data warehouse technical architectures, infrastructure components, ETL/ELT, and reporting/analytic tools and environments (e.g., Apache Beam, Hadoop, Spark, Hive).

About the job
The AI Engineer role within the Advanced Solutions Lab (ASL) focuses on delivering and evolving a sophisticated Machine Learning and Generative AI curriculum for global participants. Operating in an immersive environment, you will work directly with customers to apply innovative AI solutions to high-impact business challenges and specific industry use cases. You will lead the daily educational journey for participants while continuously improving the program by integrating internal Google expertise and recommending the best open-source frameworks and models. Beyond these core duties, you will actively participate in the broader Google ML community through research collaboration, engineering projects, and strategic initiatives that shape the future of AI.Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $152000 - $222000 (USD) 15% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities
  • Drive the Advanced Solutions Lab by delivering content, identifying machine learning (ML) experts across Google to support specific sessions, and providing ongoing curriculum enhancements.
  • Lead and support customers' machine learning projects from framing to implementation in the Advanced Solutions Lab.
  • Design artificial intelligence (AI)/machine learning (ML) curriculum by analyzing market trends and customer needs, developing materials in collaboration with cross-functional Google experts.
  • Stay abreast of machine learning developments and network across the Google Cloud research community to provide Advanced Solutions Lab participants with up-to-date knowledge and opportunities for engagements with other machine learning experts.
  • Serve as a machine learning subject matter expert for Google Cloud Consulting, supporting activities like client-facing services, intellectual property (IP) development, public speaking, and running machine learning bootcamps.

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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