J-1 Visa AI ML Engineer Jobs
AI ML Engineer roles in the United States are available to exchange visitors through J-1 visa 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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Advantest America Inc., a leading Semiconductor Test and Measurement Company.
We are seeking self-driven and creative individuals to join the ACS US (Advantest Cloud Solutions) team. ACS is part of a global strategic effort to integrate our test and measurement solutions across the semiconductor value chain using cloud, AI, and data analytics technologies. We are looking for a talented and motivated engineer with strong software development skills to focus on AI/ML application development based on containerization.
Job Responsibilities:
- AI/ML Application Development: Analyze datasets, identify patterns, select appropriate AI/ML models, train models, and build inference models for containerized production environments.
- Software Architecture & Prototyping: Engage in software architecture design, technology research, hands-on prototyping, and experimental investigations.
- Customer Interaction & Support: Debug customer issues and challenging problems, provide feedback to the engineering team, and interact with customer engineers to ensure successful implementation and support.
If you are passionate about AI/ML and cloud technologies and eager to start your career in a dynamic and innovative environment, we encourage you to apply.
We are seeking a talented and experienced software solution engineer with exceptional software development capabilities to focus on building AI/ML applications.
Your job responsibilities will be diverse and may include SW architecture, technology research, hands-on prototyping, and experimental investigations. In addition, you will interact with product engineering teams, and engage in partner and customer engagements where appropriate.
This position will locate in US.
Responsibilities Include but Not Limited To:
- Design and deploy dynamically scalable, available, fault-tolerant, and reliable applications.
- Collaborate with software architects to influence design decisions.
- Communicate results and technical concepts with appropriate collateral, clearly and credibly.
- Conduct multidisciplinary research and collaborate with project leads and customers.
- Work effectively with ACS engineering team and other ACS teams across the global ACS organization.
Required Qualifications:
- Currently pursuing a BS or MS in Computer Science, Computer Engineering, or a related technical field.
- Strong communication skills to effectively collaborate with team.
- Ability to work in a highly collaborative, fast-paced environment.
- Clear and coherent written communication.
Desired Qualifications:
- Understanding of performance, security, and reliability in complex distributed systems.
Job Overview
Advantest America Inc., a leading Semiconductor Test and Measurement Company.
We are seeking self-driven and creative individuals to join the ACS US (Advantest Cloud Solutions) team. ACS is part of a global strategic effort to integrate our test and measurement solutions across the semiconductor value chain using cloud, AI, and data analytics technologies. We are looking for a talented and motivated engineer with strong software development skills to focus on AI/ML application development based on containerization.
Job Responsibilities:
- AI/ML Application Development: Analyze datasets, identify patterns, select appropriate AI/ML models, train models, and build inference models for containerized production environments.
- Software Architecture & Prototyping: Engage in software architecture design, technology research, hands-on prototyping, and experimental investigations.
- Customer Interaction & Support: Debug customer issues and challenging problems, provide feedback to the engineering team, and interact with customer engineers to ensure successful implementation and support.
If you are passionate about AI/ML and cloud technologies and eager to start your career in a dynamic and innovative environment, we encourage you to apply.
We are seeking a talented and experienced software solution engineer with exceptional software development capabilities to focus on building AI/ML applications.
Your job responsibilities will be diverse and may include SW architecture, technology research, hands-on prototyping, and experimental investigations. In addition, you will interact with product engineering teams, and engage in partner and customer engagements where appropriate.
This position will locate in US.
Responsibilities Include but Not Limited To:
- Design and deploy dynamically scalable, available, fault-tolerant, and reliable applications.
- Collaborate with software architects to influence design decisions.
- Communicate results and technical concepts with appropriate collateral, clearly and credibly.
- Conduct multidisciplinary research and collaborate with project leads and customers.
- Work effectively with ACS engineering team and other ACS teams across the global ACS organization.
Required Qualifications:
- Currently pursuing a BS or MS in Computer Science, Computer Engineering, or a related technical field.
- Strong communication skills to effectively collaborate with team.
- Ability to work in a highly collaborative, fast-paced environment.
- Clear and coherent written communication.
Desired Qualifications:
- Understanding of performance, security, and reliability in complex distributed systems.
See all 71+ J-1 Visa AI ML Engineer Jobs
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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 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 visa.
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.