Senior Researcher Visa Sponsorship Jobs in California
California is one of the top states for senior researcher visa sponsorship, driven by major tech employers like Google, Meta, and Apple in Silicon Valley, biotech hubs in San Diego and the Bay Area, and world-class research universities including UC Berkeley, UCLA, and Stanford that consistently hire internationally for advanced research roles.
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Get Access To All JobsMinimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 8 years of experience in software development.
- 7 years of experience leading technical project strategy, ML design, and working with ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
- 5 years of experience with design and architecture; and testing/launching software products.
- 5 years of experience with GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (e.g., language modeling, computer vision).
Preferred qualifications:
- Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
- 8 years of experience with data structures/algorithms.
- 5 years of experience in a technical leadership role leading project teams and setting technical direction.
- 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
- Experience with publications in related research venues (e.g., CVPR, ICCV, NeurIPS, ICML, ICLR, etc).
About the job
Google Cloud’s mission is to make every business successful through AI by combining cutting-edge technology, infrastructure, and talent. AI/ML software engineers in Cloud bridge the gap between pioneering models and a massive product vehicle reaching billions. Our talent density and AI-powered tools drive rapid development, rooted in a culture of empowerment and a bias to action. In this role, you aren’t just building technology; you’re shaping the frontier of enterprise and driving the evolution of advanced models.
As a part of the Google Cloud AI Research team, you will address high-impact AI research issues driven by Google Cloud's mission of bringing AI to tech, healthcare, finance, retail and many other industries. You will work on a range of unique problems focused on maximizing both scientific and real-world impact, advancing AI across venues while collaborating with teams to bring innovations to production.
In this role, your work will involve improving foundation models to solve issues like hallucinations and generalization, retrieval-augmented LLMs and LLM-assisted search and pushing the boundaries of GenAI for multimodal inputs and outputs.
The Google Cloud AI Research team addresses AI challenges motivated by Google Cloud’s mission of bringing AI to tech, healthcare, finance, retail and many other industries. We work on a range of unique problems focused on research topics that maximize scientific and real-world impact, aiming to push the state-of-the-art in AI and share findings with the broader research community. We also collaborate with product teams to bring innovations to real-world impact that benefits our customers.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $262000 - $364000 (USD) + 25% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Develop innovative machine learning and natural language processing techniques in the directions that are of high impact to the organization, push important scenarios, and publish outcomes at conferences and journals.
- Collaborate with Google Cloud product teams to address customer needs and realize the business impact of research breakthroughs via Google Cloud AI products.
- Invent and implement generalizable methods that perform at scale across various real-world AI issues of enterprises.
- Engage with and learn from researchers and engineers across Google.
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.
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 8 years of experience in software development.
- 7 years of experience leading technical project strategy, ML design, and working with ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
- 5 years of experience with design and architecture; and testing/launching software products.
- 5 years of experience with GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (e.g., language modeling, computer vision).
Preferred qualifications:
- Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
- 8 years of experience with data structures/algorithms.
- 5 years of experience in a technical leadership role leading project teams and setting technical direction.
- 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
- Experience with publications in related research venues (e.g., CVPR, ICCV, NeurIPS, ICML, ICLR, etc).
About the job
Google Cloud’s mission is to make every business successful through AI by combining cutting-edge technology, infrastructure, and talent. AI/ML software engineers in Cloud bridge the gap between pioneering models and a massive product vehicle reaching billions. Our talent density and AI-powered tools drive rapid development, rooted in a culture of empowerment and a bias to action. In this role, you aren’t just building technology; you’re shaping the frontier of enterprise and driving the evolution of advanced models.
As a part of the Google Cloud AI Research team, you will address high-impact AI research issues driven by Google Cloud's mission of bringing AI to tech, healthcare, finance, retail and many other industries. You will work on a range of unique problems focused on maximizing both scientific and real-world impact, advancing AI across venues while collaborating with teams to bring innovations to production.
In this role, your work will involve improving foundation models to solve issues like hallucinations and generalization, retrieval-augmented LLMs and LLM-assisted search and pushing the boundaries of GenAI for multimodal inputs and outputs.
The Google Cloud AI Research team addresses AI challenges motivated by Google Cloud’s mission of bringing AI to tech, healthcare, finance, retail and many other industries. We work on a range of unique problems focused on research topics that maximize scientific and real-world impact, aiming to push the state-of-the-art in AI and share findings with the broader research community. We also collaborate with product teams to bring innovations to real-world impact that benefits our customers.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $262000 - $364000 (USD) + 25% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Develop innovative machine learning and natural language processing techniques in the directions that are of high impact to the organization, push important scenarios, and publish outcomes at conferences and journals.
- Collaborate with Google Cloud product teams to address customer needs and realize the business impact of research breakthroughs via Google Cloud AI products.
- Invent and implement generalizable methods that perform at scale across various real-world AI issues of enterprises.
- Engage with and learn from researchers and engineers across Google.
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.
Senior Researcher Job Roles in California
See all 1,242+ Senior Researcher Jobs in California
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Search Senior Researcher Jobs in CaliforniaSenior Researcher Jobs in California: Frequently Asked Questions
Which companies in California sponsor visas for senior researchers?
Large technology employers including Google, Meta, Apple, and Microsoft have established sponsorship programs for senior researchers across their California campuses. Biotech and pharmaceutical companies such as Genentech, Gilead Sciences, and Amgen also sponsor frequently, particularly in the Bay Area and San Diego. National laboratories including Lawrence Berkeley and SLAC National Accelerator Laboratory are active sponsors for research-focused roles.
Which visa types are most common for senior researcher roles in California?
The H-1B visa is the most common visa for senior researchers in California, given that research roles typically qualify as specialty occupations requiring at least a bachelor's degree in a specific field. The O-1A is a strong alternative for researchers with publications, awards, or peer recognition. Some university-affiliated researchers may also hold J-1 visas through exchange visitor programs, and those with exceptional records sometimes pursue EB-1A or EB-2 NIW immigrant visa pathways.
Which cities in California have the most senior researcher visa sponsorship jobs?
The San Francisco Bay Area, including San Jose, Mountain View, Menlo Park, and Berkeley, has the highest concentration of senior researcher sponsorship jobs, particularly in technology and life sciences. San Diego is a major hub for biotech and pharmaceutical research roles. Los Angeles also has significant activity, driven by research institutions, entertainment technology companies, and the University of California system.
How to find senior researcher visa sponsorship jobs in California?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it straightforward to browse senior researcher roles in California without sorting through positions that do not offer sponsorship. Because California employers span technology, biotech, academia, and government research, using Migrate Mate to narrow by location and role helps identify which organizations are actively hiring internationally for senior researcher positions.
Are there California-specific considerations for senior researcher roles and visa sponsorship?
California employers sponsoring H-1B workers must comply with Department of Labor prevailing wage requirements, which reflect the state's generally higher cost of living and competitive compensation norms. Researchers at public universities like UC San Diego or UC Davis may encounter different sponsorship structures than those at private firms. California's strong international research community, fed by graduate programs at Stanford, Caltech, and the UC system, means employers here are generally experienced with international hiring processes.
What is the prevailing wage for sponsored senior researcher jobs in California?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.