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 JobsABOUT 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.
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.
See all 53+ Research Jobs at Google
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Research Jobs at Google.
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.