J-1 Visa AI ML Platform Jobs
AI ML Platform roles in the United States are available to exchange visitors under the J-1 visa Trainee or Research Scholar program category, depending on your career stage. A State Department-designated sponsor organization issues your DS-2019 and provides sponsorship, while your U.S. host employer focuses on the technical training or research placement itself.
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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 80+ J-1 Visa AI ML Platform Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new J-1 Visa AI ML Platform Jobs.
Get Access To All JobsTips for Finding J-1 Visa Sponsorship in AI ML Platform
Document your ML credentials before applying
Assemble transcripts, project portfolios, and letters confirming hands-on experience with model training infrastructure, MLOps pipelines, or distributed compute systems. Designated sponsors evaluate technical depth when approving your DS-2019 training plan.
Distinguish Trainee from Research Scholar eligibility
The Trainee category fits early-career professionals with a degree plus one year of relevant experience. Research Scholar applies if your AI ML Platform work is tied to a university, national lab, or recognized research institution, not a commercial product team.
Target host employers with established J-1 track records
Search Migrate Mate to find U.S. companies that have hosted J-1 exchange visitors in AI and ML roles. Employers already familiar with the host-organization agreement and training plan requirements move significantly faster through onboarding.
Build a role-specific J-1 training plan early
Your DS-7002 training plan must map each phase of the placement to concrete ML skills, tools, and measurable outcomes. Generic plans are frequently rejected. Align the plan to the specific platform engineering or model deployment work the host employer has described.
Verify the 2-year home residency requirement applies to you
If your home government funded your education or your occupation appears on the Exchange Visitor Skills List, you may face a 2-year return requirement before changing status. Confirm your status with USCIS before accepting a host employer offer that assumes direct H-1B visa transition.
Confirm the host employer can execute a compliant agreement
The designated sponsor, not the employer, issues your DS-2019, but the host organization must sign a formal host agreement and designate a responsible officer point of contact. Smaller AI startups sometimes lack this infrastructure, which stalls or voids placements.
AI ML Platform J-1 Visa: Frequently Asked Questions
Which J-1 program category fits AI ML Platform roles?
It depends on your career stage and host setting. The Trainee category applies to professionals with a relevant degree and at least one year of post-degree experience in software engineering or data systems. The Research Scholar category applies if your ML platform work is conducted within a university, national lab, or accredited research institute rather than a commercial technology company.
Who actually sponsors my J-1 visa for an AI ML Platform position?
Your visa sponsor is a U.S. Department of State-designated organization such as IIE, CIEE, Cultural Vistas, or AIPT. They issue your DS-2019 form, approve your DS-7002 training plan, and monitor your placement for regulatory compliance. Your U.S. host employer is not the visa sponsor. They are the host organization where the actual AI and ML platform training takes place.
How do I find U.S. employers willing to host J-1 exchange visitors in AI and ML?
Use Migrate Mate to search for AI ML Platform roles at companies that have demonstrated J-1 hosting experience. Many employers in this space are comfortable with the host-organization agreement process because they already hire international talent, but finding ones with direct J-1 familiarity shortens the onboarding timeline significantly.
Does the 2-year home residency requirement affect AI ML Platform professionals?
It can. If your country of nationality appears on the DOS Exchange Visitor Skills List for computer science or engineering disciplines, or if your education was funded by your home government, you may be subject to the 2-year foreign residency requirement after your J-1 period ends. This affects your ability to change status to H-1B or apply for a green card without first obtaining a waiver. Confirm your situation with USCIS before finalizing any offer.
What should my J-1 training plan include for an AI ML Platform role?
The DS-7002 training plan must detail each phase of your placement with specific skills, tools, and measurable learning outcomes. For AI ML Platform roles, that typically means listing distinct phases covering infrastructure setup, model lifecycle management, experiment tracking systems, and deployment pipelines. Your designated sponsor must approve the plan before issuing the DS-2019, so vague or overly broad descriptions will delay or block your placement.