Research Scientist Jobs at Google with Visa Sponsorship
Research Scientist jobs at Google involve working on foundational and applied problems across AI, machine learning, systems, and human-computer interaction. The company has a strong track record of sponsoring work visas for this function, supporting candidates through H-1B visa, H-1B1 visa, and E-3 visa pathways depending on your nationality.
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At Google, we "Focus on the user and all else will follow." As a Quantitative User Experience Researcher (Quant UXR), you make this possible. You will join a multi-disciplinary team, collaborating closely with Engineering and Product Management to create industry-leading, innovative products. You will drive impact at all stages of development by investigating user behavior through empirical methods like logs analysis, survey research, and regression. We value diverse educational experiences—from Computer Science to Psychology—and require a blend of behavioral research design, statistical proficiency, and programming skills to uncover actionable insights. Beyond the work, you will grow within a supportive Quant UXR community offering mentorship, regular meetups, and exclusive internal tools to help you thrive. In this role, you will focus on characterizing how artificial intelligence is changing data engineering workflows and identifying new opportunities to boost engineer productivity at scale. You will approach investigative tasks in an Artificial Intelligence (AI)-native way, experimenting with new analytical approaches and tools alongside a collaborative team of researchers. You will apply your investigative rigor and translate complex quantitative insights into clear narratives that inform critical product decisions. User experience is at the forefront of how we create intuitive, innovative, and beautiful products that people love. We strive to learn and understand our users’ needs, behaviors, and emotions to gather insights that inform product strategy and design. Our UX teams include designers, researchers, content strategists, and engineers who are passionate about quality, usability, and simplicity. We work on collaborative teams to solve complex challenges and craft experiences that highlight our products’ unique capabilities and personalities. Our work touches billions while exemplifying a key principle that is core to Google’s philosophy: “Focus on the user and all else will follow.”
ROLE AND RESPONSIBILITIES
Execute quantitative user research studies, including large-scale surveys, logs analysis, and A/B test analysis.
Apply descriptive and inferential statistics to large and complex datasets using tools like SQL, R, or Python.
Explore and apply AI-native investigative approaches to accelerate data processing and automate research tasks.
Partner with User Experience (UX) Designers, Product Managers, and Engineers to scope research questions and integrate data-motivated insights into the product development lifecycle.
* Track and report on predefined user-centered metrics, communicating research findings and their implications to project teams.
MINIMUM QUALIFICATIONS
Bachelor's degree or equivalent practical experience.
1 year of experience in an applied research setting (e.g., product or academic), or a related role.
* Experience in programming languages used for data manipulation and computational statistics (e.g., Python, R, MATLAB, C++, Java, or Go).
PREFERRED QUALIFICATIONS
Master's degree or PhD in Human-Computer Interaction, Cognitive Science, Statistics, Psychology, Anthropology, or a related field.
1 year of experience conducting UX research on products and working in a large, matrixed organization.
Experience with artificial intelligence concepts, large language models, or prompt engineering.
Experience executing end-to-end quantitative research studies, including large-scale survey design and A/B test analysis.
* Experience translating quantitative findings into actionable insights for cross-functional partners.
COMPENSATION
* Salary Range: $109000 - $155000 (USD) + 15% bonus target + equity + benefits
BENEFITS
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: Seattle, WA, USA; San Jose, CA, USA.
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.
ABOUT THE JOB
At Google, we "Focus on the user and all else will follow." As a Quantitative User Experience Researcher (Quant UXR), you make this possible. You will join a multi-disciplinary team, collaborating closely with Engineering and Product Management to create industry-leading, innovative products. You will drive impact at all stages of development by investigating user behavior through empirical methods like logs analysis, survey research, and regression. We value diverse educational experiences—from Computer Science to Psychology—and require a blend of behavioral research design, statistical proficiency, and programming skills to uncover actionable insights. Beyond the work, you will grow within a supportive Quant UXR community offering mentorship, regular meetups, and exclusive internal tools to help you thrive. In this role, you will focus on characterizing how artificial intelligence is changing data engineering workflows and identifying new opportunities to boost engineer productivity at scale. You will approach investigative tasks in an Artificial Intelligence (AI)-native way, experimenting with new analytical approaches and tools alongside a collaborative team of researchers. You will apply your investigative rigor and translate complex quantitative insights into clear narratives that inform critical product decisions. User experience is at the forefront of how we create intuitive, innovative, and beautiful products that people love. We strive to learn and understand our users’ needs, behaviors, and emotions to gather insights that inform product strategy and design. Our UX teams include designers, researchers, content strategists, and engineers who are passionate about quality, usability, and simplicity. We work on collaborative teams to solve complex challenges and craft experiences that highlight our products’ unique capabilities and personalities. Our work touches billions while exemplifying a key principle that is core to Google’s philosophy: “Focus on the user and all else will follow.”
ROLE AND RESPONSIBILITIES
Execute quantitative user research studies, including large-scale surveys, logs analysis, and A/B test analysis.
Apply descriptive and inferential statistics to large and complex datasets using tools like SQL, R, or Python.
Explore and apply AI-native investigative approaches to accelerate data processing and automate research tasks.
Partner with User Experience (UX) Designers, Product Managers, and Engineers to scope research questions and integrate data-motivated insights into the product development lifecycle.
* Track and report on predefined user-centered metrics, communicating research findings and their implications to project teams.
MINIMUM QUALIFICATIONS
Bachelor's degree or equivalent practical experience.
1 year of experience in an applied research setting (e.g., product or academic), or a related role.
* Experience in programming languages used for data manipulation and computational statistics (e.g., Python, R, MATLAB, C++, Java, or Go).
PREFERRED QUALIFICATIONS
Master's degree or PhD in Human-Computer Interaction, Cognitive Science, Statistics, Psychology, Anthropology, or a related field.
1 year of experience conducting UX research on products and working in a large, matrixed organization.
Experience with artificial intelligence concepts, large language models, or prompt engineering.
Experience executing end-to-end quantitative research studies, including large-scale survey design and A/B test analysis.
* Experience translating quantitative findings into actionable insights for cross-functional partners.
COMPENSATION
* Salary Range: $109000 - $155000 (USD) + 15% bonus target + equity + benefits
BENEFITS
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: Seattle, WA, USA; San Jose, CA, USA.
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.
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Get Access To All JobsTips for Finding Research Scientist Jobs at Google
Align your publications to Google's research priorities
Google's Research Scientist roles require a demonstrated publication record. Before applying, map your papers to active Google Research areas like large language models, quantum computing, or responsible AI to show direct relevance during screening.
Target teams that post PhD-required listings
Google distinguishes Research Scientists from Software Engineers by requiring a PhD in a relevant field. Focus your search on listings that explicitly state doctoral requirements. These roles have a stronger precedent for specialty occupation classification under H-1B petitions.
Find Google's open Research Scientist roles on Migrate Mate
Use Migrate Mate to filter Google's open Research Scientist positions by visa type. This saves time identifying which roles are actively being filled by international candidates and which sponsorship categories apply to your nationality.
Clarify your visa category before accepting an offer
If you're an Australian citizen, Google can file an E-3 petition year-round without lottery risk. Canadians may qualify for H-1B1 visa. Confirm your eligibility category with Google's immigration team before signing, since each pathway has different processing timelines.
Request premium processing if your start date is fixed
USCIS offers premium processing for H-1B petitions, which guarantees a 15 business day adjudication window. For Research Scientist roles with defined project start dates or lab onboarding schedules, ask Google's legal team whether premium processing is included.
Prepare your degree equivalency documentation early
Google's immigration filings for Research Scientists often rely on your degree credentials to establish specialty occupation status. If your doctorate is from a non-U.S. institution, obtain a credential evaluation from a NACES-approved evaluator before your offer letter stage.
Frequently Asked Questions
Does Google sponsor H-1B visas for Research Scientists?
Yes, Google sponsors H-1B visas for Research Scientists. The role qualifies as a specialty occupation given the doctoral-level requirements in fields like computer science, machine learning, or statistics. Google's immigration team handles the filing, including the Labor Condition Application submitted to the DOL and the I-129 petition filed with USCIS.
Which visa types does Google use to sponsor Research Scientists?
Google sponsors Research Scientists through H-1B, H-1B1 visa, and E-3 visas depending on your nationality. H-1B is the standard pathway for most international candidates and requires lottery selection. Australian citizens qualify for the E-3, which has no lottery and can be filed any time of year. Singaporean and Chilean nationals may qualify for H-1B1.
What qualifications does Google expect for Research Scientist roles?
Google requires a PhD in computer science, machine learning, statistics, or a closely related field for Research Scientist positions. Beyond the degree, you're expected to have a peer-reviewed publication record and hands-on experience with research in areas like deep learning, natural language processing, or systems design. Industry research experience alongside your academic background strengthens your application.
How do I apply for Research Scientist jobs at Google?
You can browse open Research Scientist roles at Google through Migrate Mate, which filters listings by visa sponsorship type so you can identify roles relevant to your situation. Applications go through Google's careers portal and typically involve a resume screen, technical phone interviews, and an on-site or virtual research presentation before an offer is extended.
How do I plan my timeline if I need H-1B sponsorship at Google?
H-1B registration opens in March each year, and USCIS conducts the lottery shortly after. If selected, Google can file your petition starting April 1 for an October 1 start date. That means you should have an offer finalized by late February. If you're on OPT, your 60-day grace period and STEM extension eligibility affect how long you can stay authorized between roles.