UX Researcher Jobs in USA with Visa Sponsorship
UX researchers are sponsored routinely at Google, Meta, Amazon, Apple, and Microsoft, where dedicated research organizations hire at scale and the role's requirement for HCI, psychology, or cognitive science degrees makes H-1B visa classification straightforward. Total compensation ranges from $120,000 at mid-level to $280,000 or more for senior researchers, with O-1 visa a strong option for candidates with published HCI research.
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Get Access To All JobsLocation:
San Jose
Team:
Technology
Employment Type:
Regular
Job Code:
A98705
Responsibilities
About the Team
We are building the future of edge AI — where on-device intelligence meets lightweight, wearable hardware such as Mixed Reality headwear and modular peripherals. As AI shifts from the cloud to the device, our team is focused on solving the "last inch" of physical interaction: making local AI feel natural, responsive, and seamlessly connected to the user's environment. You will work alongside mechanical engineers, industrial designers, ML engineers, optical and sensor teams, and human-factors specialists to ship experiences where hardware form, system behavior, and AI capability function as one coherent product.
We are looking for talented individuals to join our team. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth.
Successful candidates must be able to commit to an onboarding date by the end of the year. Please state your availability and graduation date clearly in your resume.
Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to our Company and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.
- Partner directly with customers, field teams, engineers, and end users to understand real-world workflows, deployment conditions, and failure points, and translate them into clear UX hypotheses, interaction models, and prototype plans.
- Design forward-deployed UX programs that adapt core product capabilities across industries, environments, and user groups without fragmenting the overall experience.
- Define how on-device AI communicates system state, confidence, progress, uncertainty, limitations, and required user actions across Small Language Models, local multimodal models, vector embeddings, sensor fusion, and hybrid local-cloud architectures.
- Determine which interactions stay local for speed, privacy, reliability, or safety, and which escalate to the cloud, and design graceful degradation under limited connectivity, compute, sensor quality, battery, or model performance.
- Collaborate with ML engineers to understand model behavior and translate technical capabilities into predictable user-facing experiences, balancing inference speed, quality, thermal performance, battery, privacy, and responsiveness.
- Design agentic interaction models — including intent interpretation, task delegation, confirmation, interruption, cancellation, correction, escalation, and recovery — with clear boundaries between autonomous behavior and explicit user control.
- Design understandable representations of agent status (active, waiting, blocked, uncertain, completed, failed, requiring approval) and ensure users can inspect, redirect, pause, or reverse consequential AI actions.
- Work with industrial designers, hardware engineers, optical engineers, sensor teams, and human-factors specialists to translate interaction requirements into physical product implications: sensor placement, button location, display behavior, haptics, weight distribution, visibility, and thermal comfort.
- Design logic-based spatial systems that adapt dynamically to real-time data and hardware form factors, using ambient, haptic, auditory, and visual cues to communicate model state without overwhelming cognitive load.
- Build high-fidelity interactive spatial prototypes and digital simulation frameworks to stress-test multi-agent behaviors against boundary conditions, hallucination spikes, and context-window failures before physical deployment.
- Establish rapid feedback loops between field deployments and central product, design, research, and engineering teams, and identify where issues require software, model, hardware, workflow, or user-education changes.
Qualifications
Minimum Qualifications
- Individuals who are completing or have recently completed a Master's degree in Human-Computer Interaction (HCI), Industrial Design, Interaction Design, User Experience (UX), Human Factors Engineering, Design Engineering, Computer Science (HCI/AR/VR focus), Mechanical Engineering (Product Design/Human Factors), Cognitive Science, or a related field.
- Experience designing embedded systems, AR/MR hardware, wearable devices, or physical-digital products, demonstrated through academic projects, internships, research, or a portfolio showcasing 3D spatial and physical-form thinking.
- Understanding of on-device AI and edge computing concepts, including Small Language Models (SLMs), local vector embeddings, and the tradeoffs between inference speed, battery life, thermal performance, and user experience.
- Strong foundation in industrial design, ergonomics, and spatial interaction design, with the ability to consider how digital interfaces integrate with physical hardware constraints and human factors.
- Experience collaborating across multidisciplinary teams (e.g., mechanical engineering, industrial design, embedded systems, or AI/ML) through coursework, research, internships, or project-based work to develop hardware-software experiences.
- Proficiency in building interactive prototypes using modern UX and 3D prototyping tools (e.g., Figma, Three.js, WebGL, Unity, Unreal Engine, or similar), with familiarity analyzing sensor data (e.g., IMUs, spatial mapping) and an understanding of edge hardware constraints such as NPUs, thermal limits, and memory management.
Preferred Qualifications
- Experience designing state-driven spatial visualizers and ambient indicators that dynamically construct themselves from multi-agent states, geometric transformations, and real-time environmental conditions.
- Familiarity integrating generative workflows directly into engineering tools via protocols such as the Model Context Protocol (MCP), rather than relying on faked interactions or legacy visual scripting.
- Experience defining multimodal guardrails for gaze, gesture, and tactile interactions, including clear UX policies for autonomous action versus human override.
- Background designing low-latency interrupt and latency-masking patterns for edge-driven agents, using ambient cues to keep users anchored during inference and handoffs.
- Experience designing feedback loops for systems that balance objective physical constraints (structural integrity, thermal/computational limits) with subjective human factors (aesthetic preference, physical comfort), including AgentRL-style tuning workflows.
- Experience shipping AI, AR, VR, MR, or wearable hardware products from concept through manufacturing.
Job Information
Compensation Description (Annually)
The base salary range for this position in the selected city is $76000 - $151200 annually.
Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.
Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).
The Company reserves the right to modify or change these benefits programs at any time, with or without notice.
For Los Angeles County (unincorporated) Candidates:
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:
-
Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
-
Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
-
Exercising sound judgment.
About us
Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Lemon8, CapCut and Pico as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.
Why Join ByteDance
Inspiring creativity is at the core of ByteDance's mission. Our innovative products are built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and enrich life - a mission we work towards every day.
As ByteDancers, we strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our Company, and our users. When we create and grow together, the possibilities are limitless. Join us.
Diversity & Inclusion
ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
Reasonable Accommodation
ByteDance is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at
https://tinyurl.com/RA-request
Location:
San Jose
Team:
Technology
Employment Type:
Regular
Job Code:
A98705
Responsibilities
About the Team
We are building the future of edge AI — where on-device intelligence meets lightweight, wearable hardware such as Mixed Reality headwear and modular peripherals. As AI shifts from the cloud to the device, our team is focused on solving the "last inch" of physical interaction: making local AI feel natural, responsive, and seamlessly connected to the user's environment. You will work alongside mechanical engineers, industrial designers, ML engineers, optical and sensor teams, and human-factors specialists to ship experiences where hardware form, system behavior, and AI capability function as one coherent product.
We are looking for talented individuals to join our team. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth.
Successful candidates must be able to commit to an onboarding date by the end of the year. Please state your availability and graduation date clearly in your resume.
Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to our Company and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.
- Partner directly with customers, field teams, engineers, and end users to understand real-world workflows, deployment conditions, and failure points, and translate them into clear UX hypotheses, interaction models, and prototype plans.
- Design forward-deployed UX programs that adapt core product capabilities across industries, environments, and user groups without fragmenting the overall experience.
- Define how on-device AI communicates system state, confidence, progress, uncertainty, limitations, and required user actions across Small Language Models, local multimodal models, vector embeddings, sensor fusion, and hybrid local-cloud architectures.
- Determine which interactions stay local for speed, privacy, reliability, or safety, and which escalate to the cloud, and design graceful degradation under limited connectivity, compute, sensor quality, battery, or model performance.
- Collaborate with ML engineers to understand model behavior and translate technical capabilities into predictable user-facing experiences, balancing inference speed, quality, thermal performance, battery, privacy, and responsiveness.
- Design agentic interaction models — including intent interpretation, task delegation, confirmation, interruption, cancellation, correction, escalation, and recovery — with clear boundaries between autonomous behavior and explicit user control.
- Design understandable representations of agent status (active, waiting, blocked, uncertain, completed, failed, requiring approval) and ensure users can inspect, redirect, pause, or reverse consequential AI actions.
- Work with industrial designers, hardware engineers, optical engineers, sensor teams, and human-factors specialists to translate interaction requirements into physical product implications: sensor placement, button location, display behavior, haptics, weight distribution, visibility, and thermal comfort.
- Design logic-based spatial systems that adapt dynamically to real-time data and hardware form factors, using ambient, haptic, auditory, and visual cues to communicate model state without overwhelming cognitive load.
- Build high-fidelity interactive spatial prototypes and digital simulation frameworks to stress-test multi-agent behaviors against boundary conditions, hallucination spikes, and context-window failures before physical deployment.
- Establish rapid feedback loops between field deployments and central product, design, research, and engineering teams, and identify where issues require software, model, hardware, workflow, or user-education changes.
Qualifications
Minimum Qualifications
- Individuals who are completing or have recently completed a Master's degree in Human-Computer Interaction (HCI), Industrial Design, Interaction Design, User Experience (UX), Human Factors Engineering, Design Engineering, Computer Science (HCI/AR/VR focus), Mechanical Engineering (Product Design/Human Factors), Cognitive Science, or a related field.
- Experience designing embedded systems, AR/MR hardware, wearable devices, or physical-digital products, demonstrated through academic projects, internships, research, or a portfolio showcasing 3D spatial and physical-form thinking.
- Understanding of on-device AI and edge computing concepts, including Small Language Models (SLMs), local vector embeddings, and the tradeoffs between inference speed, battery life, thermal performance, and user experience.
- Strong foundation in industrial design, ergonomics, and spatial interaction design, with the ability to consider how digital interfaces integrate with physical hardware constraints and human factors.
- Experience collaborating across multidisciplinary teams (e.g., mechanical engineering, industrial design, embedded systems, or AI/ML) through coursework, research, internships, or project-based work to develop hardware-software experiences.
- Proficiency in building interactive prototypes using modern UX and 3D prototyping tools (e.g., Figma, Three.js, WebGL, Unity, Unreal Engine, or similar), with familiarity analyzing sensor data (e.g., IMUs, spatial mapping) and an understanding of edge hardware constraints such as NPUs, thermal limits, and memory management.
Preferred Qualifications
- Experience designing state-driven spatial visualizers and ambient indicators that dynamically construct themselves from multi-agent states, geometric transformations, and real-time environmental conditions.
- Familiarity integrating generative workflows directly into engineering tools via protocols such as the Model Context Protocol (MCP), rather than relying on faked interactions or legacy visual scripting.
- Experience defining multimodal guardrails for gaze, gesture, and tactile interactions, including clear UX policies for autonomous action versus human override.
- Background designing low-latency interrupt and latency-masking patterns for edge-driven agents, using ambient cues to keep users anchored during inference and handoffs.
- Experience designing feedback loops for systems that balance objective physical constraints (structural integrity, thermal/computational limits) with subjective human factors (aesthetic preference, physical comfort), including AgentRL-style tuning workflows.
- Experience shipping AI, AR, VR, MR, or wearable hardware products from concept through manufacturing.
Job Information
Compensation Description (Annually)
The base salary range for this position in the selected city is $76000 - $151200 annually.
Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.
Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).
The Company reserves the right to modify or change these benefits programs at any time, with or without notice.
For Los Angeles County (unincorporated) Candidates:
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:
-
Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
-
Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
-
Exercising sound judgment.
About us
Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Lemon8, CapCut and Pico as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.
Why Join ByteDance
Inspiring creativity is at the core of ByteDance's mission. Our innovative products are built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and enrich life - a mission we work towards every day.
As ByteDancers, we strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our Company, and our users. When we create and grow together, the possibilities are limitless. Join us.
Diversity & Inclusion
ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
Reasonable Accommodation
ByteDance is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at
https://tinyurl.com/RA-request
See all 278+ UX Researcher Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new UX Researcher roles.
Get Access To All JobsTips for Finding UX Researcher Jobs
Graduate Degrees Are Effectively Required
Google, Meta, Apple, and Amazon strongly prefer master's or Ph.D. holders for UX researcher positions. Top HCI programs at Carnegie Mellon, University of Washington, Georgia Tech, University of Michigan, and Stanford provide direct recruiting pipelines to sponsored roles at these companies.
Build a Mixed-Methods Research Portfolio
Companies look for researchers who can triangulate insights across qualitative methods (usability testing, contextual inquiry, diary studies) and quantitative methods (survey design, statistical analysis, A/B testing). Build 3 to 5 case studies showing end-to-end research process from study design through product impact.
Target Companies With Established Research Orgs
Google, Meta, Amazon, Apple, Microsoft, and Spotify have 100+ researchers each, established career ladders, and immigration teams that process H-1B for researchers routinely. These companies hire at scale and do not treat sponsorship as exceptional.
Quantitative UX Research Pays a Premium
Quant UXR roles at Google, Meta, and Amazon require statistics, R, Python, and SQL proficiency and pay 10 to 20% more than qualitative-focused positions. If your background includes experimental design and statistical modeling, target these roles specifically for both higher compensation and stronger H-1B classification.
Publish at CHI, CSCW, or UbiComp for O-1 Eligibility
UX researchers with published papers at top HCI conferences have a natural path to O-1 extraordinary ability classification, which bypasses the H-1B lottery and has no annual cap. Academic publications, peer review service, and conference presentations build the evidentiary record that O-1 requires.
Transfer From International Tech Offices on L-1
Google London, Meta London, Amazon Berlin, Spotify Stockholm, and other international tech offices employ UX researchers who can transfer to U.S. headquarters on L-1 visas. Build at least one year of strong performance at the international office, then pursue internal transfer. L-1 avoids the lottery entirely and leverages your existing team relationships.
Frequently Asked Questions
What is the typical compensation for sponsored UX Researcher roles in the U.S.?
Mid-level UX researchers earn $120,000 to $165,000 in total compensation. Senior UX researchers at Google, Meta, Amazon, and Apple earn $180,000 to $270,000 including base, bonus, and equity. Staff UX researchers at these companies earn $280,000 to $380,000. Growth-stage startups pay $100,000 to $160,000 in base with equity. H-1B visa LCA filings for UX research roles at major tech companies show base salaries of $120,000 to $190,000.
How to find UX Researcher jobs with visa sponsorship?
To find UX Researcher jobs with visa sponsorship, use Migrate Mate, which specializes in connecting international talent with sponsored opportunities. Focus on tech companies, startups, and digital agencies that commonly sponsor H-1B, O-1, and other work visas for UX professionals. Many employers actively seek UX researchers to improve their digital products and user experiences.
Which visa types do UX Researchers typically use?
H-1B is the primary pathway with strong approval rates because the role requires a specific degree in psychology, HCI, cognitive science, or a related field. L-1 visa transfers are common at multinational tech companies moving researchers from international offices. O-1 is well-suited for UX researchers with published academic work, CHI or CSCW conference papers, or recognized HCI contributions. TN visas serve Canadian and Mexican citizens. E-3 visa is available for Australians.
What types of companies sponsor UX Researchers?
Major technology companies are the primary sponsors: Google, Meta, Amazon, Apple, Microsoft, Airbnb, Uber, Spotify, Netflix, Salesforce, and Intuit all sponsor UX researchers through H-1B. Fintech companies (Stripe, Square, Robinhood) and healthcare tech firms (Epic Systems, Verily) also sponsor. Growth-stage startups building product research teams sponsor after Series B or C. Design consultancies like IDEO and frog design sponsor selectively for senior researchers.
What qualifications do UX Researcher roles require for sponsorship?
A master's or Ph.D. in human-computer interaction, psychology, cognitive science, anthropology, information science, or statistics is the standard requirement at major tech companies. Google, Meta, and Apple strongly prefer graduate degrees for researcher roles. Proficiency in both qualitative methods (usability testing, interviews, contextual inquiry) and quantitative methods (survey design, statistical analysis, A/B test interpretation) is expected. Experience with research tools like UserTesting, Qualtrics, R, Python, and SQL strengthens your candidacy.
What is the career progression for a sponsored UX Researcher?
The typical path moves from UX researcher to senior UX researcher to staff UX researcher to principal researcher or research manager. At Google, this maps to L4 through L7 on the researcher ladder. Staff level typically requires 8 to 12 years of experience and pays $280,000 to $380,000 in total compensation. Some researchers transition into research management, leading teams of 5 to 15 researchers. Others move into product management or design leadership roles that leverage their deep user understanding.