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