Research Engineer Jobs at Google with Visa Sponsorship
Research Engineer jobs at Google span machine learning, systems, and applied science, with H-1B visa, H-1B1 visa, and E-3 visa sponsorship available for qualified candidates. The company has a well-established immigration process and regularly sponsors international talent for research-focused roles that require advanced technical credentials.
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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 153+ Research Engineer Jobs at Google
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Get Access To All JobsTips for Finding Research Engineer Jobs at Google
Align your research output to Google's priorities
Google Research Engineers are expected to publish and contribute to open problems. Curate a public portfolio of papers, preprints, or open-source work in areas like ML infrastructure, large language models, or distributed systems before applying.
Target teams through Google Scholar profiles
Google Research teams are often identifiable by their published authors. Find researchers whose work aligns with yours, note which product areas or labs they sit in, and reference that work specifically in your application materials.
Clarify E-3 eligibility before accepting an offer
If you hold Australian citizenship, the E-3 avoids the H-1B lottery entirely and can be processed at a consulate in weeks. Confirm with your recruiting contact that Google will file an LCA for E-3 sponsorship before the offer stage.
Expect a multi-loop technical interview process
Google's Research Engineer interviews typically include coding, systems design, and a research presentation round. Prepare to discuss your published work in depth, including methodology choices and results. Immigration sponsorship decisions come after passing this process.
Use Migrate Mate to find open Research Engineer roles
Filtering for roles that explicitly support visa sponsorship saves time in your search. Browse verified Research Engineer openings at Google on Migrate Mate to identify active postings aligned with your research background.
Confirm your H-1B petition timeline with your recruiter
H-1B cap-subject petitions must be filed in April for an October 1 start. If you're on OPT, verify whether your start date aligns with USCIS processing windows or whether a cap-exempt filing path applies through your specific Google team.
Frequently Asked Questions
Does Google sponsor H-1B visas for Research Engineers?
Yes, Google sponsors H-1B visas for Research Engineer roles. Google is a registered H-1B employer and files petitions for qualifying international candidates. For Research Engineers, the sponsorship process typically begins after you clear the full interview loop and receive a formal offer. Your start date will depend on your current status and USCIS processing timelines.
Which visa types does Google sponsor for Research Engineer roles?
Google sponsors H-1B, H-1B1 visa, and E-3 visas for Research Engineer positions. H-1B is the most common path for candidates worldwide. H-1B1 applies to Chilean and Singaporean nationals, while E-3 is available to Australian citizens and bypasses the H-1B lottery. All three require the employer to file a certified Labor Condition Application with the DOL before the visa is issued.
How do I apply for Research Engineer jobs at Google?
Applications go through Google's careers portal, where Research Engineer roles are listed by team and location. You can also find and browse actively sponsored Research Engineer openings at Google on Migrate Mate, which filters for roles that support visa sponsorship. Having a strong research profile on Google Scholar or ArXiv strengthens your application significantly before you submit.
What qualifications does Google expect for Research Engineer roles?
Google Research Engineer roles almost always require a graduate degree, with a Ph.D. strongly preferred for positions on foundational research teams. You're expected to have published work in a relevant area such as machine learning, computer vision, natural language processing, or systems. Practical coding ability in Python or C++ is also assessed, not just research credentials.
How do I plan my timeline if I need visa sponsorship for a Google Research Engineer role?
If you need an H-1B and are subject to the annual cap, your petition can only be filed once per year in April, with employment starting October 1 at the earliest. If you're currently on F-1 OPT, your authorized work period must cover that gap. Australian citizens on E-3 have more flexibility, as consular appointments can move faster and aren't tied to the cap lottery calendar.