AI ML Engineer Visa Sponsorship Jobs in California
California is the largest market in the U.S. for AI/ML engineer visa sponsorship, driven by tech giants like Google, Meta, Apple, and Amazon across the Bay Area, plus a growing cluster of AI-focused startups in San Francisco and Los Angeles. FAANG-scale employers and well-funded labs here sponsor H-1B visa and O-1 visas at high volume.
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Get Access To All JobsINTRODUCTION
We are looking for a highly motivated AI/ML Software Engineer to join the Enterprise Agentic AI Platform team within IT. You will work closely with Business Analysts, and Engineering teams to design, develop, and deploy enterprise AI solutions that improve productivity and automate business workflows across Engineering, Operations, and Manufacturing.
ROLE AND RESPONSIBILITIES
- Design, develop, and deploy Agentic AI applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and AI orchestration frameworks.
- Build scalable AI services and reusable components integrated with enterprise applications such as PLM, SAP, and other business systems.
- Build and deploy AI/ML models and applications for Manufacturing of Boards and Chips.
- Collaborate with business and IT teams to translate business requirements into AI-driven solutions.
- Develop secure, scalable APIs and enterprise integrations to enable intelligent workflows and automation.
- Improve AI solution quality, performance, and reliability through prompt engineering, evaluation, and continuous optimization.
- Partner with cross-functional teams throughout the Software Development Lifecycle (SDLC), from solution design through deployment and production support.
BASIC QUALIFICATIONS
- Bachelor's or Master's degree in Computer Science, Information Technology, AI/ML, or a related field (or equivalent experience).
- 5+ years of software engineering experience with strong proficiency in Python and backend application development.
- Hands-on experience with AI/ML, Generative AI, LLMs, RAG, AI agents, REST APIs, and cloud-native application development.
- Experience integrating enterprise applications and building scalable, production-ready software solutions.
- Strong analytical, problem-solving, communication, and collaboration skills.
- Self-driven individual with the ability to work independently in a fast-paced environment.
PREFERRED QUALIFICATIONS
- Experience with AI/ML models, Agentic AI frameworks, Model Context Protocol (MCP), LangChain, LangGraph, Autogen, or Microsoft Agent Framework.
- Experience with Azure AI Services, Azure OpenAI, AI Search, vector databases, or enterprise AI platforms.
- Knowledge of Engineering, PLM, Manufacturing, or Supply Chain business processes.
- Experience building enterprise AI copilots, intelligent assistants, or workflow automation solutions.
COMPENSATION
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 140,000 USD - 224,250 USD for Level 3, and 168,000 USD - 270,250 USD for Level 4. You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until September 15, 2026. This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
INTRODUCTION
We are looking for a highly motivated AI/ML Software Engineer to join the Enterprise Agentic AI Platform team within IT. You will work closely with Business Analysts, and Engineering teams to design, develop, and deploy enterprise AI solutions that improve productivity and automate business workflows across Engineering, Operations, and Manufacturing.
ROLE AND RESPONSIBILITIES
- Design, develop, and deploy Agentic AI applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and AI orchestration frameworks.
- Build scalable AI services and reusable components integrated with enterprise applications such as PLM, SAP, and other business systems.
- Build and deploy AI/ML models and applications for Manufacturing of Boards and Chips.
- Collaborate with business and IT teams to translate business requirements into AI-driven solutions.
- Develop secure, scalable APIs and enterprise integrations to enable intelligent workflows and automation.
- Improve AI solution quality, performance, and reliability through prompt engineering, evaluation, and continuous optimization.
- Partner with cross-functional teams throughout the Software Development Lifecycle (SDLC), from solution design through deployment and production support.
BASIC QUALIFICATIONS
- Bachelor's or Master's degree in Computer Science, Information Technology, AI/ML, or a related field (or equivalent experience).
- 5+ years of software engineering experience with strong proficiency in Python and backend application development.
- Hands-on experience with AI/ML, Generative AI, LLMs, RAG, AI agents, REST APIs, and cloud-native application development.
- Experience integrating enterprise applications and building scalable, production-ready software solutions.
- Strong analytical, problem-solving, communication, and collaboration skills.
- Self-driven individual with the ability to work independently in a fast-paced environment.
PREFERRED QUALIFICATIONS
- Experience with AI/ML models, Agentic AI frameworks, Model Context Protocol (MCP), LangChain, LangGraph, Autogen, or Microsoft Agent Framework.
- Experience with Azure AI Services, Azure OpenAI, AI Search, vector databases, or enterprise AI platforms.
- Knowledge of Engineering, PLM, Manufacturing, or Supply Chain business processes.
- Experience building enterprise AI copilots, intelligent assistants, or workflow automation solutions.
COMPENSATION
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 140,000 USD - 224,250 USD for Level 3, and 168,000 USD - 270,250 USD for Level 4. You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until September 15, 2026. This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
AI ML Engineer Job Roles in California
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Search AI ML Engineer Jobs in CaliforniaAI ML Engineer Jobs in California: Frequently Asked Questions
Which companies sponsor visas for AI/ML engineers in California?
The most active sponsors for AI/ML engineers in California include Google, Meta, Apple, Amazon, Microsoft, Nvidia, Salesforce, and Adobe, all with large Bay Area presences. Beyond big tech, AI-focused companies like Anthropic, OpenAI, Scale AI, and Databricks in San Francisco also have established sponsorship programs. USCIS H-1B disclosure data confirms these employers file petitions in high volume for machine learning and AI research roles specifically.
Which visa types are most common for AI/ML engineer roles in California?
The H-1B is the most common visa for AI/ML engineers in California, as these roles consistently qualify as specialty occupations requiring a bachelor's degree or higher in computer science, statistics, or a related field. The O-1A is a realistic option for engineers with published research, patents, or recognized industry contributions. Candidates already in the U.S. on F-1 OPT or STEM OPT extension also frequently transition into employer-sponsored H-1B status through California employers.
How to find ai ml engineer visa sponsorship jobs in California?
Migrate Mate filters AI/ML engineer jobs specifically by visa sponsorship availability and state, making it straightforward to identify California employers actively hiring international candidates. Because many job postings don't explicitly state sponsorship willingness, Migrate Mate's curated data removes the guesswork. Filtering by California surfaces roles across the Bay Area, Los Angeles, and San Diego from employers with a verified history of sponsoring AI and machine learning engineers.
Which cities in California have the most AI/ML engineer sponsorship jobs?
The San Francisco Bay Area, including San Francisco, Mountain View, Sunnyvale, and Menlo Park, accounts for the largest share of AI/ML sponsorship roles in California. Seattle-adjacent overflow aside, Los Angeles has grown significantly as a second hub, particularly around Santa Monica and Culver City where entertainment-tech and AI startups have concentrated. San Diego has a smaller but active cluster tied to biotech AI and defense-adjacent machine learning work.
Are there state-specific considerations for AI/ML engineers seeking sponsorship in California?
California's prevailing wage requirements under Department of Labor rules apply to all H-1B filings, and given the state's high cost of living, prevailing wage levels for AI/ML roles in metro areas like San Francisco and San Jose tend to be among the highest in the country. California also has strong university pipelines from UC Berkeley, Stanford, UCLA, and UCSD that influence how employers recruit internationally, making research and graduate credentials particularly valued in sponsorship decisions.
What is the prevailing wage for sponsored ai ml engineer 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.