Machine Learning Visa Sponsorship Jobs in California
California is the top state for machine learning visa sponsorship jobs, with major employers including Google, Meta, Apple, and NVIDIA headquartered here. The San Francisco Bay Area and Los Angeles drive most hiring, alongside a deep university pipeline from Stanford and UC Berkeley feeding world-class ML research and engineering talent into industry.
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Get Access To All JobsCompany:
Qualcomm Technologies, Inc.
Job Area:
Engineering Group, Engineering Group > Modem Technologies Software
General Summary:
We are seeking an experienced Machine Learning Engineer specializing in Generative AI to join our core AI team.
The ideal candidate will be responsible for designing, developing, and deploying cutting-edge generative AI solutions, with a focus on Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Intelligent agent systems.
Key Responsibilities:
- Design and implement RAG-based solutions to enhance LLM capabilities with external knowledge sources
- Develop and optimize LLM fine-tuning strategies for specific use cases and domain adaptation
- Create robust evaluation frameworks for measuring and improving model performance
- Build and maintain agentic workflows for autonomous AI systems
- Collaborate with cross-functional teams to identify opportunities and implement AI solutions
Minimum Qualifications:
- Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 2+ years of Software Engineering, Electrical Engineering, or related work experience.
OR
Master's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 1+ year of Software Engineering, Electrical Engineering, or related work experience.
OR
PhD in Computer Engineering, Computer Science, Electrical Engineering, or related field.
Required Qualifications:
- Bachelor's or Master's degree in Computer Science, or related technical field
- 3+ years of experience in Machine Learning/AI engineering
- Strong programming skills in Python and experience with ML frameworks (PyTorch, TensorFlow)
- Practical experience with LLM deployments and fine-tuning
- Experience with vector databases and embedding models
- Familiarity with modern AI/ML infrastructure and cloud platforms (AWS, GCP, Azure)
- Strong understanding of RAG architectures and implementation
Preferred Qualifications:
- Experience with popular LLM frameworks (Langchain, LlamaIndex, Transformers)
- Knowledge of prompt engineering and chain-of-thought techniques
- Experience with containerization and microservices architecture
- Background in Reinforcement Learning
- Contributions to open-source AI projects
- Experience with ML ops and model deployment pipelines
Skills and Competencies:
- Strong problem-solving and analytical skills
- Excellent communication and collaboration abilities
- Experience with agile development methodologies
- Ability to balance multiple projects and priorities
- Strong focus on code quality and best practices
- Understanding of AI ethics and responsible AI development
Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities.
To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.
Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
Pay range and Other Compensation & Benefits:
$104,000.00 - $156,000.00
The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer – and you can review more details about our US benefits at this link.
If you would like more information about this role, please contact Qualcomm Careers.
Company:
Qualcomm Technologies, Inc.
Job Area:
Engineering Group, Engineering Group > Modem Technologies Software
General Summary:
We are seeking an experienced Machine Learning Engineer specializing in Generative AI to join our core AI team.
The ideal candidate will be responsible for designing, developing, and deploying cutting-edge generative AI solutions, with a focus on Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Intelligent agent systems.
Key Responsibilities:
- Design and implement RAG-based solutions to enhance LLM capabilities with external knowledge sources
- Develop and optimize LLM fine-tuning strategies for specific use cases and domain adaptation
- Create robust evaluation frameworks for measuring and improving model performance
- Build and maintain agentic workflows for autonomous AI systems
- Collaborate with cross-functional teams to identify opportunities and implement AI solutions
Minimum Qualifications:
- Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 2+ years of Software Engineering, Electrical Engineering, or related work experience.
OR
Master's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 1+ year of Software Engineering, Electrical Engineering, or related work experience.
OR
PhD in Computer Engineering, Computer Science, Electrical Engineering, or related field.
Required Qualifications:
- Bachelor's or Master's degree in Computer Science, or related technical field
- 3+ years of experience in Machine Learning/AI engineering
- Strong programming skills in Python and experience with ML frameworks (PyTorch, TensorFlow)
- Practical experience with LLM deployments and fine-tuning
- Experience with vector databases and embedding models
- Familiarity with modern AI/ML infrastructure and cloud platforms (AWS, GCP, Azure)
- Strong understanding of RAG architectures and implementation
Preferred Qualifications:
- Experience with popular LLM frameworks (Langchain, LlamaIndex, Transformers)
- Knowledge of prompt engineering and chain-of-thought techniques
- Experience with containerization and microservices architecture
- Background in Reinforcement Learning
- Contributions to open-source AI projects
- Experience with ML ops and model deployment pipelines
Skills and Competencies:
- Strong problem-solving and analytical skills
- Excellent communication and collaboration abilities
- Experience with agile development methodologies
- Ability to balance multiple projects and priorities
- Strong focus on code quality and best practices
- Understanding of AI ethics and responsible AI development
Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities.
To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.
Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
Pay range and Other Compensation & Benefits:
$104,000.00 - $156,000.00
The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer – and you can review more details about our US benefits at this link.
If you would like more information about this role, please contact Qualcomm Careers.
Machine Learning Job Roles in California
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Search Machine Learning Jobs in CaliforniaMachine Learning Jobs in California: Frequently Asked Questions
Which companies sponsor visas for machine learning roles in California?
The most active sponsors for machine learning roles in California include Google, Meta, Apple, Microsoft, Amazon, NVIDIA, Salesforce, and Adobe, concentrated primarily in the Bay Area and Los Angeles. Semiconductor and AI chip companies like NVIDIA and Qualcomm also file significant numbers of sponsorships. Mid-size AI startups in San Francisco and Palo Alto round out the sponsoring employer base for ML engineers and researchers.
Which visa types are most common for machine learning roles in California?
The H-1B visa is by far the most common visa for machine learning roles in California, as ML engineering and research positions typically meet the specialty occupation requirement. Candidates with extraordinary recognition in the field may qualify for the O-1A. Australian citizens can use the E-3 visa as an H-1B alternative. Some roles at universities or national labs may fall under J-1 visa or F-1 OPT, particularly for recent graduates.
Which cities in California have the most machine learning sponsorship jobs?
The San Francisco Bay Area, including San Jose, Sunnyvale, Mountain View, Palo Alto, and San Francisco itself, accounts for the majority of machine learning sponsorship jobs in California. Los Angeles has grown substantially, driven by entertainment technology, healthcare AI, and a strong startup ecosystem. San Diego also contributes, particularly through biotech and defense-adjacent AI applications at companies like Qualcomm.
How to find machine learning visa sponsorship jobs in California?
Migrate Mate is built specifically for international job seekers targeting visa sponsorship roles, including machine learning positions across California. You can filter by state and role to surface employers with a documented history of sponsoring ML engineers and researchers in the Bay Area, Los Angeles, and beyond. Because sponsorship willingness varies widely by employer and role type, focusing on verified sponsors saves significant time in a competitive field.
Are there any California-specific considerations for machine learning visa sponsorship?
California's high cost of living means H-1B prevailing wage requirements in cities like San Francisco and San Jose sit at the upper end of national ranges for machine learning roles, which can actually work in candidates' favor since employers must meet those wage floors. The state's dense concentration of AI-focused companies and proximity to Stanford, UC Berkeley, and UCLA also creates a university-to-industry pipeline that keeps sponsorship activity consistently high compared to most other states.
What is the prevailing wage for sponsored machine learning 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.