AI Intern Visa Sponsorship Jobs in California
AI intern visa sponsorship jobs in California are concentrated in the San Francisco Bay Area and Los Angeles, where companies like Google, Meta, Microsoft, and dozens of AI-focused startups actively recruit international interns. California's density of top-tier research universities and AI labs makes it one of the most active states for sponsored AI internship roles.
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INTRODUCTION
Agility’s commercially deployed humanoids operate alongside teams in warehouses, manufacturing facilities, and distribution centers—tackling physically demanding and repetitive tasks while enabling workers to focus on higher-value work. With industry-leading safety standards and years of proven deployment data, we're pioneering a new era of automation that enhances human potential.
ABOUT THE ROLE:
We’re seeking an AI Intern to help our humanoid robot, Digit, navigate and interact with the world. You’ll be in the driver’s seat of an applied research project, moving past theory to see your code manifest in motion on hardware. You’ll work alongside some of the brightest minds in the industry, utilizing a fleet of Digits as your playground.
ABOUT THE WORK:
- Lead a research project in robot learning, such as reinforcement learning for whole-body control or learning loco-manipulation skills from demonstration.
- Design and run experiments to evaluate learning-based robot behaviors in simulation and on hardware.
- Improve data collection, model training, and evaluation frameworks.
- Dive into robot logs and experimental data to diagnose failures and push the boundaries of what Digit can do.
- Present your findings to a world-class team of engineers and researchers.
ABOUT YOU:
- Currently pursuing a PhD in Computer Science, Machine Learning, Robotics, or a related field.
- Strong skills in Python and modern ML frameworks. (PyTorch, JAX, etc.).
- Excited to integrate, run, and evaluate your learned policies on the robot.
- Strong analytical and debugging skills.
- Ability to work independently on open-ended technical problems.
PREFERRED SKILLS AND EXPERIENCE:
- Expertise in one or more of the following areas:
- Reinforcement learning
- Learning from demonstration
- Multimodal learning (vision, proprioception, forces, etc)
- Sim-2-real
- Experience training machine learning models on real or simulated datasets.
- Experience working with robot hardware.
- Experience analyzing experimental data and communicating results.
COMPENSATION
- Anticipated Salary Range: $75-$75 USD
In addition to base pay, our competitive total rewards package consists of the following for full-time employees:
- 401(k) Plan: Includes a 6% company match.
- Equity: Company stock options.
- Insurance Coverage: 100% company-paid medical, dental, vision, and short/long-term disability insurance for employees.
- Benefit Start Date: Eligible for benefits on your first day of employment.
- Well-Being Support: Employee Assistance Program (EAP).
- Time Off:
- Exempt Employees: Flexible, unlimited PTO and 10 company holidays, including a winter shutdown.
- Non-Exempt Employees: 10 vacation days, paid sick leave, and 10 company holidays, including a winter shutdown, annually.
- On-Site Perks: Catered lunches four times a week and a variety of healthy snacks and refreshments at our Salem and Pittsburgh locations.
- Parental Leave: Generous paid parental leave programs.
- Work Environment: A culture that supports flexible work arrangements.
- Growth Opportunities: Professional development and tuition reimbursement programs.
- Relocation Assistance: Provided for eligible roles.
- Annual Discretionary Bonus: Provided for eligible roles.
All of our roles are U.S.-based. Applicants must have current authorization to work in the United States.
Agility Robotics is committed to a work environment in which all individuals are treated with respect and dignity. Each individual has the right to work in a professional atmosphere that promotes equal employment opportunities and prohibits unlawful discriminatory practices, including harassment. Therefore, it is the policy of Agility Robotics to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, age, disability, marital status, citizenship, national origin, genetic information, or any other characteristic protected by law. Agility Robotics prohibits any such discrimination or harassment.
Agility Robotics does not accept unsolicited referrals from third-party recruiting agencies. We prioritize direct applicants and encourage all qualified candidates to apply directly through our careers page. If you are represented by a third party, your application may not be considered. To ensure full consideration, please apply directly.

INTRODUCTION
Agility’s commercially deployed humanoids operate alongside teams in warehouses, manufacturing facilities, and distribution centers—tackling physically demanding and repetitive tasks while enabling workers to focus on higher-value work. With industry-leading safety standards and years of proven deployment data, we're pioneering a new era of automation that enhances human potential.
ABOUT THE ROLE:
We’re seeking an AI Intern to help our humanoid robot, Digit, navigate and interact with the world. You’ll be in the driver’s seat of an applied research project, moving past theory to see your code manifest in motion on hardware. You’ll work alongside some of the brightest minds in the industry, utilizing a fleet of Digits as your playground.
ABOUT THE WORK:
- Lead a research project in robot learning, such as reinforcement learning for whole-body control or learning loco-manipulation skills from demonstration.
- Design and run experiments to evaluate learning-based robot behaviors in simulation and on hardware.
- Improve data collection, model training, and evaluation frameworks.
- Dive into robot logs and experimental data to diagnose failures and push the boundaries of what Digit can do.
- Present your findings to a world-class team of engineers and researchers.
ABOUT YOU:
- Currently pursuing a PhD in Computer Science, Machine Learning, Robotics, or a related field.
- Strong skills in Python and modern ML frameworks. (PyTorch, JAX, etc.).
- Excited to integrate, run, and evaluate your learned policies on the robot.
- Strong analytical and debugging skills.
- Ability to work independently on open-ended technical problems.
PREFERRED SKILLS AND EXPERIENCE:
- Expertise in one or more of the following areas:
- Reinforcement learning
- Learning from demonstration
- Multimodal learning (vision, proprioception, forces, etc)
- Sim-2-real
- Experience training machine learning models on real or simulated datasets.
- Experience working with robot hardware.
- Experience analyzing experimental data and communicating results.
COMPENSATION
- Anticipated Salary Range: $75-$75 USD
In addition to base pay, our competitive total rewards package consists of the following for full-time employees:
- 401(k) Plan: Includes a 6% company match.
- Equity: Company stock options.
- Insurance Coverage: 100% company-paid medical, dental, vision, and short/long-term disability insurance for employees.
- Benefit Start Date: Eligible for benefits on your first day of employment.
- Well-Being Support: Employee Assistance Program (EAP).
- Time Off:
- Exempt Employees: Flexible, unlimited PTO and 10 company holidays, including a winter shutdown.
- Non-Exempt Employees: 10 vacation days, paid sick leave, and 10 company holidays, including a winter shutdown, annually.
- On-Site Perks: Catered lunches four times a week and a variety of healthy snacks and refreshments at our Salem and Pittsburgh locations.
- Parental Leave: Generous paid parental leave programs.
- Work Environment: A culture that supports flexible work arrangements.
- Growth Opportunities: Professional development and tuition reimbursement programs.
- Relocation Assistance: Provided for eligible roles.
- Annual Discretionary Bonus: Provided for eligible roles.
All of our roles are U.S.-based. Applicants must have current authorization to work in the United States.
Agility Robotics is committed to a work environment in which all individuals are treated with respect and dignity. Each individual has the right to work in a professional atmosphere that promotes equal employment opportunities and prohibits unlawful discriminatory practices, including harassment. Therefore, it is the policy of Agility Robotics to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, age, disability, marital status, citizenship, national origin, genetic information, or any other characteristic protected by law. Agility Robotics prohibits any such discrimination or harassment.
Agility Robotics does not accept unsolicited referrals from third-party recruiting agencies. We prioritize direct applicants and encourage all qualified candidates to apply directly through our careers page. If you are represented by a third party, your application may not be considered. To ensure full consideration, please apply directly.
AI Intern Job Roles in California
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Search AI Intern Jobs in CaliforniaAI Intern Jobs in California: Frequently Asked Questions
Which companies in California sponsor visas for AI interns?
Large tech employers including Google, Meta, Apple, Microsoft, and Amazon have established sponsorship infrastructure and regularly hire AI interns from international applicant pools at their California offices. AI-focused companies like Anthropic, OpenAI, and Scale AI, headquartered in the Bay Area, also sponsor intern roles. Sponsorship is not guaranteed at any company and typically depends on headcount, role type, and immigration policy at the time of hiring.
Which visa types are most common for AI intern roles in California?
Most international students doing AI internships in California are authorized through F-1 Curricular Practical Training (CPT) or Optional Practical Training (OPT), which allow work without a separate employer petition. J-1 intern or trainee programs are another option for shorter placements. H-1B sponsorship is rare for internships specifically, as the visa is designed for full-time specialty occupation employment rather than temporary training roles.
Which cities in California have the most AI intern sponsorship jobs?
The San Francisco Bay Area, including San Jose, Mountain View, Palo Alto, and San Francisco itself, has the highest concentration of AI intern sponsorship opportunities in California. Los Angeles and Santa Monica have a growing cluster of AI and tech companies also hiring international interns. San Diego has a smaller but notable presence, driven by AI research at universities and biotech-adjacent AI companies.
How to find ai intern visa sponsorship jobs in California?
Migrate Mate is built specifically for international job seekers and filters AI intern roles in California by visa sponsorship availability, saving you from manually screening hundreds of postings. Because AI internship roles in California move quickly, particularly in the Bay Area, checking Migrate Mate regularly and setting up alerts for AI intern positions can help you apply early, which matters given the high competition for sponsored roles at top employers.
Are there state-specific considerations for AI intern sponsorship in California?
California's concentration of university AI programs at UC Berkeley, Stanford, UCLA, and UCSD creates a strong pipeline that employers rely on, meaning competition for sponsored AI intern roles is high. California employers sponsoring CPT or OPT interns must still comply with Department of Labor wage requirements for the role and location, and Bay Area prevailing wages for AI-related positions are among the highest in the country, which can affect which employers actively pursue international candidates.
What is the prevailing wage for sponsored ai intern 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.
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