J-1 Visa AI ML Engineering Jobs
AI ML Engineering roles in the United States are accessible to international professionals through J-1 visa sponsorship under the Trainee or Research Scholar program category. Designated sponsor organizations issue your DS-2019 once a host employer commits to a structured training or research placement.
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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 70+ J-1 Visa AI ML Engineering Jobs
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Get Access To All JobsTips for Finding J-1 Visa Sponsorship in AI ML Engineering
Frame your portfolio around trainable skills
J-1 visa Trainee sponsors require a structured training plan tied to skills you can't access in your home country. Document specific ML frameworks, compute infrastructure, or dataset pipelines your host employer will expose you to that justify the exchange objective.
Distinguish Research Scholar from Trainee eligibility
If you hold a graduate degree and are joining a university lab or nonprofit research institute, Research Scholar is the correct J-1 category. Trainee fits industry placements. Applying under the wrong category delays DS-2019 issuance and can prompt sponsor rejection.
Target host employers with existing J-1 host agreements
Employers must sign a host agreement with a State Department-designated sponsor before your DS-2019 can be issued. Search for AI and data science teams at research universities, national labs, and technology-focused companies that already hold these agreements to reduce onboarding friction.
Search Migrate Mate for J-1-aligned AI roles
Use Migrate Mate to filter AI ML Engineering positions at employers who have demonstrated openness to international placements. Targeting roles where the team already understands J-1 host requirements saves significant time compared to educating a recruiter from scratch.
Verify wage compliance before accepting an offer
Your host employer must pay you at least the prevailing wage for your role and location. Cross-check your offered compensation against the OFLC Wage Search using your SOC code before signing, so your sponsor has no compliance barrier when reviewing your training plan.
Clarify the two-year home residency requirement early
AI ML Engineering roles at government-funded labs or in fields on the Exchange Visitor Skills List may trigger the two-year home residency requirement, blocking H-1B visa or green card transitions without a waiver. Confirm with your sponsor whether your specific placement qualifies before accepting.
AI ML Engineering J-1 Visa: Frequently Asked Questions
Which J-1 program category fits an AI ML Engineering role?
It depends on your career stage and the type of placement. Current students completing a degree-related internship use the Intern category. Early-career professionals in industry roles typically use Trainee, which requires a structured training plan covering specific technical skills. Researchers joining a university or nonprofit AI lab generally qualify under Research Scholar, which requires a graduate degree and a research-focused host.
Who actually sponsors the J-1 visa for an AI ML Engineering placement?
The visa sponsor is a U.S. Department of State-designated organization, not the hiring employer. Organizations like IIE, Cultural Vistas, and CIEE issue the DS-2019 form and are legally responsible for program compliance. Your host employer, the AI team you join, is separate from the sponsor. The employer must sign a host agreement with the sponsor before your DS-2019 can be issued.
How do I find AI ML Engineering employers open to J-1 host arrangements?
Migrate Mate lets you filter AI ML Engineering roles by employers that have a track record of working with international candidates under structured visa programs. Because host employers must already have or be willing to establish a sponsor agreement, targeting companies already familiar with J-1 mechanics significantly shortens your timeline from offer to DS-2019 issuance.
Does the two-year home residency requirement apply to AI ML Engineering roles?
It can. If your host employer receives U.S. government funding, your home country has designated AI or computer science as a field on the Exchange Visitor Skills List, or your role involves government-to-government programs, the two-year requirement may apply. This would prevent you from changing to H-1B or pursuing permanent residence without first obtaining a waiver. Confirm your specific situation with your designated sponsor before accepting an offer.
What technical documentation does a J-1 Trainee sponsor require for an AI ML role?
Sponsors require a Form DS-7002 Training and Internship Placement Plan that maps your host employer's training objectives to specific, measurable skills. For AI ML roles, this means identifying which models, datasets, cloud platforms, or research methodologies you'll work on and why they're unavailable in your home country. Vague plans citing only general software engineering are routinely rejected. Your host employer drafts this plan in coordination with the sponsor.