Research Jobs at Google with Visa Sponsorship
Research jobs at Google span machine learning, systems research, and applied science, with active visa sponsorship for qualified candidates in this function. If you're targeting a Research role here, you're pursuing one of the most active visa-sponsoring employers in the technology sector.
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Get Access To All JobsINTRODUCTION
Ads Metrics is a data science team which supports the Search Ads and Ads on Google Experiences (SAGE) organization in developing Google's most important ad products, and driving over $100B in annual business. Core Metrics is a subteam in Ads Metrics that focuses on developing and improving SAGE's Northstar metrics (including long-term business and ads blindness) which are used organization-wide to inform launch decisions.
In this role, you will take on challenging problems in measurement methodology and experiment design, while also staying focused on helping the organization make better business decisions from data. Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We’re made up of multiple teams, building Google’s Advertising products including search, display, shopping, travel and video advertising, as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $174000 - $253000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
ROLE AND RESPONSIBILITIES
- Collaborate with stakeholders in cross-projects and team settings to identify and clarify business or product questions to answer. Provide feedback to translate and refine business questions into tractable analysis, evaluation metrics, or mathematical models.
- Use custom data infrastructure or existing data models as appropriate, using specialized knowledge. Design and evaluate models to mathematically express and solve defined problems with limited precedent.
- Gather information, business goals, priorities, and organizational context around the questions to answer, as well as the existing and upcoming data infrastructure.
- Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL, R, Python). Independently format, re-structure, or validate data to ensure quality, and review the dataset to ensure it is ready for analysis.
MINIMUM QUALIFICATIONS
- Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
- 5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 3 years of work experience with a PhD degree.
PREFERRED QUALIFICATIONS
- 8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD degree.
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
Ads Metrics is a data science team which supports the Search Ads and Ads on Google Experiences (SAGE) organization in developing Google's most important ad products, and driving over $100B in annual business. Core Metrics is a subteam in Ads Metrics that focuses on developing and improving SAGE's Northstar metrics (including long-term business and ads blindness) which are used organization-wide to inform launch decisions.
In this role, you will take on challenging problems in measurement methodology and experiment design, while also staying focused on helping the organization make better business decisions from data. Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We’re made up of multiple teams, building Google’s Advertising products including search, display, shopping, travel and video advertising, as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $174000 - $253000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
ROLE AND RESPONSIBILITIES
- Collaborate with stakeholders in cross-projects and team settings to identify and clarify business or product questions to answer. Provide feedback to translate and refine business questions into tractable analysis, evaluation metrics, or mathematical models.
- Use custom data infrastructure or existing data models as appropriate, using specialized knowledge. Design and evaluate models to mathematically express and solve defined problems with limited precedent.
- Gather information, business goals, priorities, and organizational context around the questions to answer, as well as the existing and upcoming data infrastructure.
- Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL, R, Python). Independently format, re-structure, or validate data to ensure quality, and review the dataset to ensure it is ready for analysis.
MINIMUM QUALIFICATIONS
- Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
- 5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 3 years of work experience with a PhD degree.
PREFERRED QUALIFICATIONS
- 8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD degree.
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 152+ Research Jobs at Google
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Get Access To All JobsTips for Finding Research Jobs at Google
Frame your research output for industry impact
Google's Research hiring committees look for published work that connects to real-world applications, not just academic novelty. Organize your CV around systems built, benchmarks advanced, or products influenced by your research to signal direct relevance.
Target teams aligned with your publication record
Google Research and DeepMind operate as distinct hiring tracks with different focus areas. Identify which team has published in your domain and apply directly to open roles under that group rather than casting a wide net.
Clarify your visa category before the offer stage
Google sponsors H-1B, H-1B1 visa, and E-3 visas for Research roles. Knowing which category applies to your nationality before the offer lets you ask informed questions and avoids delays when the recruiting team initiates the filing process.
Account for H-1B lottery timing in your job search
If you need H-1B sponsorship, USCIS runs the lottery in March for an October 1 start date. If you miss a cycle, ask whether Google can support you under cap-exempt status through an affiliated research institution while you wait.
Verify your work authorization gap before resigning
Transitioning between employers on an H-1B gives you a 60-day grace period under USCIS rules. Confirm Google's transfer timeline with their immigration team before you give notice so your status stays continuous throughout the process.
Browse open Research roles at Google on Migrate Mate
Filtering by visa type and role function saves significant time when you're targeting sponsoring employers. Migrate Mate lets you search Research positions at Google specifically by the visa categories they support, so you can prioritize applications that match your situation.
Frequently Asked Questions
Does Google sponsor H-1B visas for Research roles?
Yes, Google sponsors H-1B visas for Research positions and has a well-established immigration program to support the process. Because H-1B is subject to the annual USCIS lottery, timing matters. Google typically initiates filings in line with the March registration window for an October 1 start, so aligning your offer timeline to that cycle is practical if you need this visa category.
How do I apply for Research jobs at Google?
Applications go through Google's careers site, where Research roles are listed under functions like Research Scientist, Research Engineer, or Applied Scientist. Tailoring your application to the specific team's published work strengthens your candidacy. You can also browse open Research positions at Google filtered by visa sponsorship on Migrate Mate, which surfaces roles matched to your authorization needs.
Which visa types does Google sponsor for Research positions?
Google sponsors H-1B, H-1B1 visa, and E-3 visas for Research roles. H-1B is available to most nationalities but requires winning the annual lottery. H-1B1 is available to Chilean and Singaporean nationals and is not lottery-based. E-3 is exclusive to Australian citizens and also bypasses the lottery, making it one of the more efficient paths for eligible candidates.
What qualifications does Google expect for Research roles?
Most Research positions at Google require a PhD in a relevant field such as computer science, machine learning, statistics, or a related discipline, along with a publication record in peer-reviewed venues. Some Research Engineer roles accept a master's degree paired with strong engineering experience. Demonstrating that your research connects to Google's active areas, like large language models, systems efficiency, or perception research, significantly strengthens your application.
How do I understand the visa filing timeline after accepting a Research offer at Google?
After an offer is accepted, Google's immigration team typically engages an external law firm to manage the petition. For H-1B transfers or E-3 and H-1B1 visa filings, there is no lottery and processing can move faster. USCIS premium processing is available for expedited adjudication if your start date is time-sensitive. Expect several weeks between offer acceptance and petition filing as the employer prepares documentation and the Department of Labor certifies the Labor Condition Application.