J-1 Visa AI ML Engineer Jobs
AI ML Engineer roles in the United States are available to exchange visitors through J-1 Trainee or Research Scholar sponsorship, depending on your career stage. Designated sponsors issue your DS-2019 and oversee your training plan, while the U.S. employer serves as your host organization. No lottery, no annual cap.
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Get Access To All JobsINTRODUCTION
pSemi Corporation is a Murata company driving semiconductor integration. pSemi builds on Peregrine Semiconductor’s 30-year legacy of technology advancements and strong IP portfolio but with a new mission—to enhance Murata’s world-class capabilities with high-performance semiconductors. With a strong foundation in RF integration, pSemi’s product portfolio now spans power management, connected sensors, optical transceivers, antenna tuning and RF frontends. These intelligent and efficient semiconductors enable advanced modules for smartphones, base stations, personal computers, electric vehicles, data centers, IoT devices and healthcare. From headquarters in San Diego and offices around the world, pSemi’s team explores new ways to make electronics for the connected world smaller, thinner, faster and better.
JOB SUMMARY
This position will assist engineers in designing, developing, and implementing AI/ML solutions utilizing large language models (LLMs) from sources such as OpenAI, Llama, and Gemini. The intern will support the creation of Agent frameworks that leverage Agentic AI principles for autonomous decision-making and task execution. Additionally, this role will involve leveraging software to automate RFIC design workflows to improve efficiency and accuracy. This includes contributing throughout the entire product life cycle—from initial concept through scalable deployment.
ROLES & RESPONSIBILITIES
This position has responsibility for:
- Full Stack Development: Build software platforms for LLM integration including frontend, UI/UX design, and backend infrastructure.
- Agent Framework Creation: Assist in developing intelligent systems based on Agentic AI principles using tools like OpenAI Agents SDK or Langchain.
- Data Management: Support backend software development efforts including database infrastructure management with SQL, NoSQL, or vector databases. Implement RAG systems to improve LLM performance.
- RFIC Design Automation: Leverage software tools to automate various stages of RFIC design workflows, including simulation setups, data collection processes, and verification procedures.
- Model Implementation: Collaborate with engineers to implement tools like Langchain and OpenAI Agents SDK for enhancing data flow between applications and LLMs.
- Research & Documentation: Conduct research on emerging technologies in AI/ML frameworks and their application to the semiconductor industry.
MINIMUM QUALIFICATIONS
- Hands-on experience in programming languages such as Python.
- Familiarity with machine learning concepts including large language models such as GPT5, Llama, Gemini, and Claude.
- Experience with backend development using Flask or FastAPI.
PREFERRED QUALIFICATIONS
- Experience working on projects involving machine learning techniques or agent-based systems is a plus.
- Knowledge of vector databases, RAG frameworks, and vector databases is a plus.
- Knowledge of frontend frameworks such as React or Svelte is a plus.
- Understanding cloud service architecture across platforms like AWS, Azure or GCP would be advantageous.
EDUCATION REQUIREMENTS
Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Science or related field (must be completing 3+ years).
WORK ENVIRONMENT
This job operates in a professional office environment. This role routinely uses standard office equipment.
PHYSICAL DEMANDS
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. While performing the duties of this job, the employee is regularly required to talk or hear. The employee frequently is required to stand; walk; use hands to finger, handle or feel; and reach with hands and arms. Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception and ability to adjust focus. This position requires the ability to occasionally lift office products and supplies, up to 20 pounds.
COMPENSATION
- Salary Range: USD 32.20 - 58.32 per hour
Thank you for your interest in our temporary position. Please be advised that the selected candidate will be employed and receive all wages directly from a third-party staffing agency selected by pSemi.
pSemi Corporation supports a diverse workforce and is committed to a policy of equal employment opportunity for applicants and employees. pSemi does not discriminate on the basis of age, race, color, religion (including religious dress and grooming practices), sex/gender (including pregnancy, childbirth, or related medical conditions or breastfeeding), gender identity, gender expression, genetic information, national origin (including language use restrictions and possession of a driver’s license issued under Vehicle Code section 12801.9), ancestry, physical or mental disability, legally-protected medical condition, military or veteran status (including “protected veterans” under applicable affirmative action laws), marital status, sexual orientation, or any other basis protected by local, state or federal laws applicable to the Company. pSemi also prohibits discrimination based on the perception that an employee or applicant has any of those characteristics, or is associated with a person who has or is perceived as having any of those characteristics.
Note: The Peregrine Semiconductor name, Peregrine Semiconductor logo and UltraCMOS are registered trademarks and the pSemi name, pSemi logo, HaRP and DuNE are trademarks of pSemi Corporation in the U.S. and other countries. All other trademarks are the property of their respective companies. pSemi products are protected under one or more of the following U.S. Patents: http://patents.psemi.com
INTRODUCTION
pSemi Corporation is a Murata company driving semiconductor integration. pSemi builds on Peregrine Semiconductor’s 30-year legacy of technology advancements and strong IP portfolio but with a new mission—to enhance Murata’s world-class capabilities with high-performance semiconductors. With a strong foundation in RF integration, pSemi’s product portfolio now spans power management, connected sensors, optical transceivers, antenna tuning and RF frontends. These intelligent and efficient semiconductors enable advanced modules for smartphones, base stations, personal computers, electric vehicles, data centers, IoT devices and healthcare. From headquarters in San Diego and offices around the world, pSemi’s team explores new ways to make electronics for the connected world smaller, thinner, faster and better.
JOB SUMMARY
This position will assist engineers in designing, developing, and implementing AI/ML solutions utilizing large language models (LLMs) from sources such as OpenAI, Llama, and Gemini. The intern will support the creation of Agent frameworks that leverage Agentic AI principles for autonomous decision-making and task execution. Additionally, this role will involve leveraging software to automate RFIC design workflows to improve efficiency and accuracy. This includes contributing throughout the entire product life cycle—from initial concept through scalable deployment.
ROLES & RESPONSIBILITIES
This position has responsibility for:
- Full Stack Development: Build software platforms for LLM integration including frontend, UI/UX design, and backend infrastructure.
- Agent Framework Creation: Assist in developing intelligent systems based on Agentic AI principles using tools like OpenAI Agents SDK or Langchain.
- Data Management: Support backend software development efforts including database infrastructure management with SQL, NoSQL, or vector databases. Implement RAG systems to improve LLM performance.
- RFIC Design Automation: Leverage software tools to automate various stages of RFIC design workflows, including simulation setups, data collection processes, and verification procedures.
- Model Implementation: Collaborate with engineers to implement tools like Langchain and OpenAI Agents SDK for enhancing data flow between applications and LLMs.
- Research & Documentation: Conduct research on emerging technologies in AI/ML frameworks and their application to the semiconductor industry.
MINIMUM QUALIFICATIONS
- Hands-on experience in programming languages such as Python.
- Familiarity with machine learning concepts including large language models such as GPT5, Llama, Gemini, and Claude.
- Experience with backend development using Flask or FastAPI.
PREFERRED QUALIFICATIONS
- Experience working on projects involving machine learning techniques or agent-based systems is a plus.
- Knowledge of vector databases, RAG frameworks, and vector databases is a plus.
- Knowledge of frontend frameworks such as React or Svelte is a plus.
- Understanding cloud service architecture across platforms like AWS, Azure or GCP would be advantageous.
EDUCATION REQUIREMENTS
Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Science or related field (must be completing 3+ years).
WORK ENVIRONMENT
This job operates in a professional office environment. This role routinely uses standard office equipment.
PHYSICAL DEMANDS
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. While performing the duties of this job, the employee is regularly required to talk or hear. The employee frequently is required to stand; walk; use hands to finger, handle or feel; and reach with hands and arms. Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception and ability to adjust focus. This position requires the ability to occasionally lift office products and supplies, up to 20 pounds.
COMPENSATION
- Salary Range: USD 32.20 - 58.32 per hour
Thank you for your interest in our temporary position. Please be advised that the selected candidate will be employed and receive all wages directly from a third-party staffing agency selected by pSemi.
pSemi Corporation supports a diverse workforce and is committed to a policy of equal employment opportunity for applicants and employees. pSemi does not discriminate on the basis of age, race, color, religion (including religious dress and grooming practices), sex/gender (including pregnancy, childbirth, or related medical conditions or breastfeeding), gender identity, gender expression, genetic information, national origin (including language use restrictions and possession of a driver’s license issued under Vehicle Code section 12801.9), ancestry, physical or mental disability, legally-protected medical condition, military or veteran status (including “protected veterans” under applicable affirmative action laws), marital status, sexual orientation, or any other basis protected by local, state or federal laws applicable to the Company. pSemi also prohibits discrimination based on the perception that an employee or applicant has any of those characteristics, or is associated with a person who has or is perceived as having any of those characteristics.
Note: The Peregrine Semiconductor name, Peregrine Semiconductor logo and UltraCMOS are registered trademarks and the pSemi name, pSemi logo, HaRP and DuNE are trademarks of pSemi Corporation in the U.S. and other countries. All other trademarks are the property of their respective companies. pSemi products are protected under one or more of the following U.S. Patents: http://patents.psemi.com
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Get Access To All JobsTips for Finding J-1 Visa Sponsorship as an AI ML Engineer
Align your training plan to ML subspecialties
Designated sponsors require a detailed training plan before issuing your DS-2019. Map your objectives to specific technical areas, such as computer vision, NLP, or reinforcement learning, so the plan reflects genuine skill development rather than standard employment.
Distinguish Trainee from Research Scholar before applying
Trainee status suits industry roles at companies building ML products, while Research Scholar status fits university labs or R&D institutes. Applying through the wrong category can stall your DS-2019 issuance, so confirm which fits your host organization before any outreach.
Search for J-1-friendly AI ML roles on Migrate Mate
Most job boards don't filter by J-1 compatibility. Migrate Mate lets you search AI ML Engineer positions by employers who have hosted J-1 exchange visitors, saving you the back-and-forth of asking recruiters whether a host arrangement is possible.
Verify wage compliance using OFLC Wage Search
Your host employer must pay the prevailing wage for your role and location. Run the OFLC Wage Search before your offer conversation so you can confirm the salary is compliant, which protects you if your designated sponsor audits the host's records.
Flag the two-year home residency requirement early
Some AI ML Engineer roles at government-affiliated research institutions trigger the two-year home residency requirement under INA Section 212(e). Ask your designated sponsor whether your specific host and funding source create this obligation before signing any offer letter.
Use O*NET to anchor your specialty occupation evidence
If your designated sponsor requests documentation that your role qualifies as a trainee or specialist placement, the O*NET occupation profile for AI ML Engineers lists the typical education and task requirements that support your case without relying on employer-specific claims.
AI ML Engineer jobs are hiring across the US. Find yours.
Find AI ML Engineer JobsAI ML Engineer J-1 Visa: Frequently Asked Questions
Which J-1 program category fits an AI ML Engineer role?
It depends on your career stage and host organization. If you're a current student or recent graduate entering an industry role at a tech company, the Trainee category applies. If you're joining a university lab, national research institute, or federally funded R&D center to conduct original research, Research Scholar is the correct category. Mismatching the category delays your DS-2019 and can put your exchange program at risk.
Who actually sponsors my J-1 visa as an AI ML Engineer?
Your J-1 sponsor is a U.S. Department of State-designated organization, not your employer. Organizations such as IIE, CIEE, Cultural Vistas, or a university's international programs office issue your DS-2019 and oversee your training plan. The company or lab where you work is your host organization. Your employer does not file any visa petition on your behalf the way they would for an H-1B.
How do I find U.S. employers open to hosting a J-1 AI ML Engineer?
Most recruiters default to H-1B or OPT when they hear visa sponsorship, so you need to surface employers who already understand the J-1 host arrangement. Migrate Mate lets you filter AI ML Engineer roles by employers familiar with J-1 exchange visitors, which removes the manual step of cold-asking each recruiter whether a host arrangement is feasible.
Does the two-year home residency requirement affect AI ML Engineers?
It can. If your J-1 program is funded by your home government, a U.S. government agency, or if your skill is listed on the Exchange Visitor Skills List for your home country, you may be subject to the two-year foreign residence requirement under INA Section 212(e). AI ML skills are increasingly included on those lists. Confirm with your designated sponsor before accepting any offer, since this requirement affects your ability to change to H-1B or get a green card without a waiver.
What does the training plan for a J-1 AI ML Engineer need to include?
Your designated sponsor requires a formal training plan, typically documented on a DS-7002 form, before issuing the DS-2019. For an AI ML Engineer role, the plan should specify technical objectives tied to identifiable ML tasks, the supervision structure, measurable milestones, and the tools or frameworks you'll use. Vague plans citing general software development get rejected. Your host employer and the sponsor co-sign the plan, so align both parties on the specifics before submission.
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