Scientist Jobs at Google with Visa Sponsorship
Scientist jobs at Google span research, applied science, and machine learning across teams like Google Research and DeepMind. Google has a well-established sponsorship infrastructure for technical roles, making it a realistic target for international candidates on H-1B visa, H-1B1 visa, or E-3 visas.
Find Scientist Jobs at GoogleOverview
Showing 5 of 58+ Scientist Jobs at Google
See all 58+ Scientist Jobs at Google
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Scientist Jobs at Google.
Get Access To All JobsINTRODUCTION
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: New York, NY, USA; Mountain View, CA, USA.
MINIMUM QUALIFICATIONS:
- Master's degree in Computer Science, Mathematics, Applied Statistics, Machine Learning, or equivalent practical experience.
- 3 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a relevant PhD degree.
PREFERRED QUALIFICATIONS:
- PhD in Computer Science or Engineering, or a related field.
- Experience in driving a project from an experimental idea, proof-of-concept, and a launched product feature.
- Experience in cross-functional collaboration, with engineering and product teams.
- Experience in publications working with technologies.
- Experience with data ontologies with knowledge in graphs.
ABOUT THE JOB
In this role, you will work in close partnership with several Engineering, Product, and Finance teams across Google to develop and deliver machine learning and predictive analytics solutions at scale to our Sales and Marketing stakeholders. You will build recommendation engines and impact measurement tools for Google Customer Solution Sales and Marketing to increase impact and operational effectiveness across the customer journey. You will also build, test, and scale statistical and machine learning models that measure and amplify impact across the entire advertiser journey from acquisition to growth and continuation.
Additionally, you will be responsible for the regular and ad-hoc delivery of business growth incrementality of programs, as well as the design and statistical analysis of pilot results. You will partner with various teams to develop statistical models, customer-level recommendations and automated solutions, consolidating existing Google technologies and building new ones. You will also work with others on the team to harness the power of Google’s data with machine learning to provide insights at scale that drive both long-term strategy and near-term operations for sales and marketing. Google Customer Solutions (GCS) sales teams are trusted advisors and competitive sellers who maintain a relentless focus on customer success by bringing the best Google has to offer to small- and medium-sized businesses (SMBs), which are the backbone of our communities. As a member of our team, you’ll have the opportunity to work with company owners and make a real difference in their businesses by helping them grow. Together, we help shape the future of innovation for customers, partners, and sellers...and we have fun doing it. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $138000 - $198000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Build efficient and scalable Machine Learning (ML) models that help small and mid-size businesses to grow their business, leveraging the power of Google solutions.
- Solve real-world problems with the latest research in deep learning, natural language processing, and understanding.
- Work with product teams to understand their objectives, product requirements, constraints, and key metrics.
- Propose, build, evaluate, and debug machine learning models and algorithms.
- Integrate pipelines, models, and predictions into production serving systems.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
INTRODUCTION
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: New York, NY, USA; Mountain View, CA, USA.
MINIMUM QUALIFICATIONS:
- Master's degree in Computer Science, Mathematics, Applied Statistics, Machine Learning, or equivalent practical experience.
- 3 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a relevant PhD degree.
PREFERRED QUALIFICATIONS:
- PhD in Computer Science or Engineering, or a related field.
- Experience in driving a project from an experimental idea, proof-of-concept, and a launched product feature.
- Experience in cross-functional collaboration, with engineering and product teams.
- Experience in publications working with technologies.
- Experience with data ontologies with knowledge in graphs.
ABOUT THE JOB
In this role, you will work in close partnership with several Engineering, Product, and Finance teams across Google to develop and deliver machine learning and predictive analytics solutions at scale to our Sales and Marketing stakeholders. You will build recommendation engines and impact measurement tools for Google Customer Solution Sales and Marketing to increase impact and operational effectiveness across the customer journey. You will also build, test, and scale statistical and machine learning models that measure and amplify impact across the entire advertiser journey from acquisition to growth and continuation.
Additionally, you will be responsible for the regular and ad-hoc delivery of business growth incrementality of programs, as well as the design and statistical analysis of pilot results. You will partner with various teams to develop statistical models, customer-level recommendations and automated solutions, consolidating existing Google technologies and building new ones. You will also work with others on the team to harness the power of Google’s data with machine learning to provide insights at scale that drive both long-term strategy and near-term operations for sales and marketing. Google Customer Solutions (GCS) sales teams are trusted advisors and competitive sellers who maintain a relentless focus on customer success by bringing the best Google has to offer to small- and medium-sized businesses (SMBs), which are the backbone of our communities. As a member of our team, you’ll have the opportunity to work with company owners and make a real difference in their businesses by helping them grow. Together, we help shape the future of innovation for customers, partners, and sellers...and we have fun doing it. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $138000 - $198000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Build efficient and scalable Machine Learning (ML) models that help small and mid-size businesses to grow their business, leveraging the power of Google solutions.
- Solve real-world problems with the latest research in deep learning, natural language processing, and understanding.
- Work with product teams to understand their objectives, product requirements, constraints, and key metrics.
- Propose, build, evaluate, and debug machine learning models and algorithms.
- Integrate pipelines, models, and predictions into production serving systems.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
See all 58+ Scientist Jobs at Google
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Scientist Jobs at Google.
Get Access To All JobsTips for Finding Scientist Jobs at Google
Publish Research Before Applying to Google
Google's scientist hiring committees weight peer-reviewed publications and conference presentations heavily. Having work indexed in Google Scholar or cited at NeurIPS, ICML, or ACL strengthens your petition and gives immigration attorneys concrete evidence for specialty occupation.
Distinguish Research Scientist from Applied Scientist
Google separates Research Scientist roles, which require a PhD and original contributions to a research agenda, from Applied Scientist roles, which focus on deploying models. Applying to the wrong track delays your process and can complicate the LCA job title alignment with DOL.
Target Teams Already Using Your Visa Category
Google sponsors H-1B, H-1B1 visa, and E-3 visas for scientists, but not every hiring manager knows the nuances of each. If you hold an E-3 or H-1B1, confirm early in the recruiter screen that your team's legal contacts have processed that category before.
Time Your Application Around the H-1B Cap
If you need a cap-subject H-1B, Google must register you in the USCIS lottery in March for an October 1 start. Receiving an offer in May for an August start date won't work unless you're already cap-exempt through a previous petition or OPT gap-filling is available.
Align Your Degree Field to the Job Description
USCIS scrutinizes specialty occupation for scientist roles when the degree field is broad. If your PhD is in physics but the role is in computational biology, prepare a detailed cover letter and ask Google's immigration team to document the direct connection in the I-129 filing.
Use Migrate Mate to Find Sponsored Scientist Openings
Not every Google scientist job listing signals visa sponsorship clearly. Use Migrate Mate to filter verified sponsoring roles at Google, so you're applying to positions where the hiring team has an active track record with your visa type.
Frequently Asked Questions
Does Google sponsor H-1B visas for Scientists?
Yes, Google sponsors H-1B visas for Scientist roles across teams including Google Research, Google DeepMind, and Google Cloud. Google has established immigration support infrastructure, meaning your petition is handled by experienced in-house or retained counsel. Cap-subject petitions require registration in the USCIS H-1B lottery each March, so offer timing matters significantly.
How do I apply for Scientist jobs at Google?
Applications go through Google's careers portal at careers.google.com. Most scientist roles require a PhD and a technical screening that includes a research presentation or coding component. You can also find verified sponsored openings filtered by visa type on Migrate Mate, which helps you prioritize roles where sponsorship is confirmed before you invest time in the process.
Which visa types does Google sponsor for Scientist roles?
Google sponsors H-1B, H-1B1 visa, and E-3 visas for Scientist positions. H-1B is the most commonly used category and is available to all nationalities. H-1B1 is available only to citizens of Chile and Singapore. E-3 is exclusive to Australian citizens. All three require the role to qualify as a specialty occupation under USCIS guidelines.
What qualifications does Google expect for a sponsored Scientist role?
Research Scientist roles at Google typically require a PhD in computer science, machine learning, statistics, or a closely related field, along with a publication record at recognized venues. Applied Scientist roles may accept a master's degree paired with strong industry experience. Your degree field must map directly to the role's technical requirements for the H-1B specialty occupation standard to hold.
How long does the visa sponsorship process take at Google after an offer?
For E-3 and H-1B1 visa holders, the process from offer to work authorization can take four to eight weeks, as these visas are processed at the consulate or border without waiting for a USCIS petition. Standard H-1B petitions take three to six months. Premium processing through USCIS reduces adjudication to 15 business days but does not speed up the cap registration window.