AI Solutions Engineer Visa Sponsorship Jobs in California
California leads U.S. hiring for AI Solutions Engineers, with major employers concentrated in the San Francisco Bay Area, Los Angeles, and San Diego. Companies like Google, Salesforce, Adobe, and a dense network of AI-focused startups regularly sponsor H-1B visa and other work visas for this role, making it one of the most active states for international candidates in this field.
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About The Role
The RealReal is the world’s largest online marketplace for authenticated, resale luxury goods. With a rigorous authentication process, we are committed to extending the lifecycle of luxury items and promoting a more sustainable future for fashion. Technology and data are at the core of how we operate, and we are constantly seeking to apply the newest AI technologies to improve our operations, authentication accuracy, and customer experience.
The RealReal’s Fall AI Accelerator Intern Program is a part-time opportunity that runs from October 13th-December 18th (including week-long breaks for holidays and finals).
The Opportunity
The RealReal is seeking motivated students to join our team for a 10-week AI Intern Program! This position offers a hands-on technical opportunity to design, build, and deploy production-ready AI tools that directly solve complex business challenges and drive operational efficiency. In this role, you will work actively across systems to build practical solutions, partner with teams to scale AI usage, and develop strategic roadmaps for long-term impact!
What You Get To Do Every Day
- Design & Build AI Solutions: Actively engineer, prototype, and deploy custom AI models and automated tools to address high-value operational challenges across business workflows.
- System Integration & Optimization: Review existing architecture and workflows to integrate enterprise AI capabilities, optimizing performance, automation, and overall technical execution.
- Data Pipeline & Readiness Enhancement: Evaluate and prepare key data pipelines and information structures to support robust, scalable model deployment and AI-driven systems.
- Technical Advisory & Enablement: Advise cross-functional teams on effective AI tool usage, best practices, and advanced prompting techniques to accelerate adoption and integration.
- Scalability & Strategic Roadmapping: Develop strategies and long-term technical roadmaps to ensure deployed AI tools scale effectively across company operations.
- Deploy & Demonstrate Impact: Showcase deployed AI applications, measured efficiency gains, and strategic business outcomes to executive stakeholders.
Expected Business Outcomes
- Fully functional, production-ready AI tools and models integrated into company operations.
- Scalable AI workflows and infrastructure designed to support long-term business growth.
- Empowered and advised cross-functional teams utilizing AI tools and best practices effectively across daily workflows.
What You Bring To The Role
Minimum Requirements:
- Education: Current Bachelor’s, Master’s, or PhD student majoring in Computer Science, Artificial Intelligence, or a related technical field from an accredited university.
- AI/ML Fundamentals: Solid understanding of machine learning principles, including supervised and unsupervised learning, model evaluation, and foundational knowledge of neural networks and language modeling.
- Communication: Exceptional ability to translate complex technical concepts into clear, actionable insights for diverse stakeholders.
- Passion: Strong interest in applying artificial intelligence to solve real-world problems and drive operational efficiency.
Preferred Requirements:
- Generative AI Architectures: Experience creating applications that leverage LLMs, including Retrieval-Augmented Generation (RAG), vector databases (e.g., Pinecone, Milvus), and advanced prompt engineering.
- Prototyping & APIs: Experience building and deploying web applications or AI prototypes using Python frameworks (e.g., Streamlit, FastAPI, Flask) and integrating external APIs.
- Cloud & DevOps Basics: Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization tools like Docker.
- Data Engineering: Basic understanding of ETL processes, data preprocessing, and querying SQL/NoSQL databases.
- Technical Initiative: A portfolio of personal AI projects, open-source contributions, or participation in ML-focused hackathons/competitions.
Compensation, Benefits, + Perks
This role is not eligible for benefits.
The expected hourly rate for this role is $55.00-$60.00. To determine starting pay we carefully consider a variety of factors, including primary work location and an evaluation of a candidate’s skills, experience, market demands, and internal parity. Additionally, salary is just one component of TRR’s total rewards package. Depending on role, employees may also be eligible for a bonus program, incentive pay and benefits.
The RealReal is the world’s largest online marketplace for authenticated, resale luxury goods, with 40 million members. With a rigorous authentication process overseen by experts, The RealReal provides a safe and reliable platform for consumers to buy and sell their luxury items. We have hundreds of in-house gemologists, horologists, and brand authenticators who inspect thousands of items each day. As a sustainable company, we give new life to pieces by thousands of brands across numerous categories—including women's and men's fashion, fine jewelry and watches, art, and home—in support of the circular economy. We make selling effortless with free virtual appointments, in-home pickup, drop-off, and direct shipping. We handle all of the work for consignors, including authenticating, using AI and machine learning to determine optimal pricing, photographing and listing their items, as well as shipping and customer service.
The RealReal is committed to providing an equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or expression, or Veteran status. We will consider qualified applicants for a position regardless of arrest or conviction records. At TRR, People Come First. That’s why diversity and inclusion are vital to our priorities as an equal opportunity employer. You can read about our Diversity Equity and Inclusion program here.
Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. The employee is regularly required to sit; use hands to finger, handle, or feel and talk or hear. The employee is occasionally required to stand; walk; reach with hands and arms; climb or balance; stoop, kneel, crouch, or crawl; and taste or smell. The employee must occasionally lift and/or move up to 10 pounds. Specific vision abilities required by this job include close vision. The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job.
AI Solutions Engineer Job Roles in California
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Search AI Solutions Engineer Jobs in CaliforniaAI Solutions Engineer Jobs in California: Frequently Asked Questions
Which companies sponsor visas for AI Solutions Engineers in California?
Large technology employers such as Google, Salesforce, Adobe, Nvidia, and Cisco are among the most consistent H-1B sponsors for AI Solutions Engineers in California. Bay Area AI startups and enterprise software companies also file a significant volume of sponsorship petitions. Reviewing Department of Labor LCA disclosure data shows California-based employers collectively account for a disproportionately large share of AI-related H-1B filings nationwide.
Which visa types are most common for AI Solutions Engineers in California?
The H-1B is the most common visa for AI Solutions Engineers in California, as the role typically qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, machine learning, or a related field. Candidates already in the U.S. on F-1 OPT or STEM OPT frequently transition to H-1B sponsorship. The O-1A is an option for those with documented research publications, patents, or industry recognition in AI.
Which cities in California have the most AI Solutions Engineer sponsorship jobs?
The San Francisco Bay Area, including San Jose, Mountain View, and San Francisco itself, concentrates the largest share of AI Solutions Engineer sponsorship opportunities in California. Los Angeles has grown significantly as an AI hiring hub, driven by media-tech and enterprise software companies. San Diego also sees consistent demand, particularly from defense-adjacent AI firms and life sciences technology companies sponsoring international engineers.
How to find ai solutions engineer visa sponsorship jobs in California?
Migrate Mate filters AI Solutions Engineer roles in California specifically to employers with a documented history of visa sponsorship, saving you from applying to positions where sponsorship is unlikely. Search by role and state on Migrate Mate to see active listings, employer sponsorship patterns, and role-specific details relevant to international candidates pursuing work authorization in California.
Are there any California-specific considerations for AI Solutions Engineers seeking visa sponsorship?
California's prevailing wage requirements for H-1B roles are among the highest in the country given the state's competitive technology market, meaning sponsored positions typically reflect strong compensation benchmarks set by the Department of Labor. University pipelines from UC Berkeley, Stanford, UCLA, and UC San Diego feed a large pool of international AI talent, which means sponsored roles in California attract highly competitive applicant pools and employers tend to move quickly through their hiring processes.
What is the prevailing wage for sponsored ai solutions 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.