J-1 Visa Applied AI Engineer Jobs
Applied AI Engineer roles in the United States are available to exchange visitors through J-1 visa sponsorship under the Trainee or Research Scholar program category, depending on your background. Designated sponsor organizations issue your DS-2019, while the hiring company serves as your host employer. No lottery or annual cap applies.
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Get Access To All JobsAt d-Matrix, we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is possible. Our culture is one of respect and collaboration.
We value humility and believe in direct communication. Our team is inclusive, and our differing perspectives allow for better solutions. We are seeking individuals passionate about tackling challenges and are driven by execution. Ready to come find your playground? Together, we can help shape the endless possibilities of AI.
Applied AI Engineering Intern
Intelligent Manufacturing Systems
About d-Matrix
At d-Matrix, we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is possible. Our culture is one of respect and collaboration. We value humility and believe in direct communication. Our team is inclusive, and our differing perspectives allow for better solutions.
About the Role
As an Applied AI Engineering Intern on the Intelligent Manufacturing Systems team, you will design and implement AI-powered solutions that directly improve manufacturing workflows, yield, and operational throughput. You’ll work hands-on with production data, build and deploy ML models, and collaborate with cross-functional teams spanning hardware engineering, operations, and supply chain.
Responsibilities
You’ll work at the intersection of LLMs and manufacturing—turning messy real-world data into systems that ship product faster and catch problems earlier.
- Build AI agents that diagnose why hardware tests fail—clustering failure signatures, surfacing probable root causes, and helping engineers skip weeks of manual triage
- Design LLM-powered pipelines that ingest unstructured supplier and factory reports and turn them into structured, queryable data visible to the team in real time
- Prototype intelligent document workflows that reconcile financial and procurement records, flagging discrepancies that today require hours of manual cross-checking
- Benchmark multiple LLM backends (cloud and local) across your workloads to find the right cost–quality–latency trade-offs for production deployment
- Collaborate with test, quality, and operations engineers to validate that what the models say actually matches what happens on the floor
Qualifications
- Pursuing a Master’s or PhD in Computer Science, Electrical Engineering, Industrial Engineering, or a related field
- Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow, or scikit-learn)
- Experience with data analysis and visualization (Pandas, NumPy, Matplotlib)
- Familiarity with at least one of: time-series analysis, anomaly detection, optimization, or computer vision
- Exposure to manufacturing, semiconductor, or hardware environments is a plus
- Familiarity with version control (Git) and Linux-based development workflows
Nice to Have
- Prior internship or project experience in manufacturing analytics, digital twin, or process optimization
- Experience with LLMs/generative AI for structured data or knowledge extraction
- Exposure to statistical process control (SPC) or Six Sigma concepts
Details
Location: Santa Clara, CA (Hybrid)
Compensation: $30–$59/hr (commensurate with experience and education)
Duration: 12 weeks (Summer 2026)
d-Matrix is proud to be an equal opportunity workplace and affirmative action employer. We hire the best talent for our teams, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. Our focus is on hiring teammates with humble expertise, kindness, dedication and a willingness to embrace challenges and learn together.
Equal Opportunity Employment Policy
d-Matrix is proud to be an equal opportunity workplace and affirmative action employer. We’re committed to fostering an inclusive environment where everyone feels welcomed and empowered to do their best work. We hire the best talent for our teams, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. Our focus is on hiring teammates with humble expertise, kindness, dedication and a willingness to embrace challenges and learn together every day.
d-Matrix does not accept resumes or candidate submissions from external agencies. We appreciate the interest and effort of recruitment firms, but we kindly request that individuals interested in opportunities with d-Matrix apply directly through our official channels. This approach allows us to streamline our hiring processes and maintain a consistent and fair evaluation of all applicants. Thank you for your understanding and cooperation.
At d-Matrix, we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is possible. Our culture is one of respect and collaboration.
We value humility and believe in direct communication. Our team is inclusive, and our differing perspectives allow for better solutions. We are seeking individuals passionate about tackling challenges and are driven by execution. Ready to come find your playground? Together, we can help shape the endless possibilities of AI.
Applied AI Engineering Intern
Intelligent Manufacturing Systems
About d-Matrix
At d-Matrix, we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is possible. Our culture is one of respect and collaboration. We value humility and believe in direct communication. Our team is inclusive, and our differing perspectives allow for better solutions.
About the Role
As an Applied AI Engineering Intern on the Intelligent Manufacturing Systems team, you will design and implement AI-powered solutions that directly improve manufacturing workflows, yield, and operational throughput. You’ll work hands-on with production data, build and deploy ML models, and collaborate with cross-functional teams spanning hardware engineering, operations, and supply chain.
Responsibilities
You’ll work at the intersection of LLMs and manufacturing—turning messy real-world data into systems that ship product faster and catch problems earlier.
- Build AI agents that diagnose why hardware tests fail—clustering failure signatures, surfacing probable root causes, and helping engineers skip weeks of manual triage
- Design LLM-powered pipelines that ingest unstructured supplier and factory reports and turn them into structured, queryable data visible to the team in real time
- Prototype intelligent document workflows that reconcile financial and procurement records, flagging discrepancies that today require hours of manual cross-checking
- Benchmark multiple LLM backends (cloud and local) across your workloads to find the right cost–quality–latency trade-offs for production deployment
- Collaborate with test, quality, and operations engineers to validate that what the models say actually matches what happens on the floor
Qualifications
- Pursuing a Master’s or PhD in Computer Science, Electrical Engineering, Industrial Engineering, or a related field
- Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow, or scikit-learn)
- Experience with data analysis and visualization (Pandas, NumPy, Matplotlib)
- Familiarity with at least one of: time-series analysis, anomaly detection, optimization, or computer vision
- Exposure to manufacturing, semiconductor, or hardware environments is a plus
- Familiarity with version control (Git) and Linux-based development workflows
Nice to Have
- Prior internship or project experience in manufacturing analytics, digital twin, or process optimization
- Experience with LLMs/generative AI for structured data or knowledge extraction
- Exposure to statistical process control (SPC) or Six Sigma concepts
Details
Location: Santa Clara, CA (Hybrid)
Compensation: $30–$59/hr (commensurate with experience and education)
Duration: 12 weeks (Summer 2026)
d-Matrix is proud to be an equal opportunity workplace and affirmative action employer. We hire the best talent for our teams, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. Our focus is on hiring teammates with humble expertise, kindness, dedication and a willingness to embrace challenges and learn together.
Equal Opportunity Employment Policy
d-Matrix is proud to be an equal opportunity workplace and affirmative action employer. We’re committed to fostering an inclusive environment where everyone feels welcomed and empowered to do their best work. We hire the best talent for our teams, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. Our focus is on hiring teammates with humble expertise, kindness, dedication and a willingness to embrace challenges and learn together every day.
d-Matrix does not accept resumes or candidate submissions from external agencies. We appreciate the interest and effort of recruitment firms, but we kindly request that individuals interested in opportunities with d-Matrix apply directly through our official channels. This approach allows us to streamline our hiring processes and maintain a consistent and fair evaluation of all applicants. Thank you for your understanding and cooperation.
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Get Access To All JobsTips for Finding J-1 Visa Sponsorship as an Applied AI Engineer
Align your credentials to specialty occupation standards
J-1 Trainee and Research Scholar categories require documented evidence of your field-specific degree and professional background. Gather transcripts, a portfolio of AI projects, and employer reference letters before outreach, since host employers vet credentials independently of the designated sponsor.
Target host employers with established training plans
Applied AI Engineer J-1 placements require a formal Training Plan signed by both the host employer and designated sponsor. Prioritize companies that have hosted J-1 engineers before, as they already understand the DS-7002 training plan documentation their designated sponsor requires.
Search Migrate Mate to find J-1-compatible roles
Use Migrate Mate to filter Applied AI Engineer positions at U.S. employers that have a history of hosting exchange visitors. Finding the right host employer is your first actionable step before any designated sponsor can issue your DS-2019.
Clarify the two-year home residency requirement early
Research Scholar and some Trainee placements in fields on the State Department's Skills List carry a two-year home residency requirement. Confirm your country of origin and funding source with your designated sponsor before accepting an offer, since this affects future H-1B or green card eligibility.
Verify prevailing wage compliance before signing an offer
Host employers are expected to compensate J-1 Trainees and Research Scholars at rates consistent with similarly situated U.S. workers. Cross-check the offered compensation against the OFLC Wage Search or BLS data for your specific Applied AI Engineer role and geographic location.
Submit your DS-2019 application with sufficient lead time
Designated sponsors typically need four to eight weeks to process and issue a DS-2019 after receiving a complete application package from your host employer. Confirm the sponsor's processing timeline immediately after your offer is finalized so your program start date remains viable.
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Find Applied AI Engineer JobsApplied AI Engineer J-1 Visa: Frequently Asked Questions
Which J-1 program category fits an Applied AI Engineer role?
It depends on your career stage. If you are currently enrolled in a degree program, the Intern category applies. If you have completed your degree and have at least one year of relevant professional experience, the Trainee category is the standard fit. Research Scientists or faculty at academic or research institutions may qualify under the Research Scholar or Short-Term Scholar categories instead.
Who actually sponsors a J-1 visa for an Applied AI Engineer?
The visa sponsor is a U.S. Department of State-designated organization, not your employer. Organizations such as Cultural Vistas or AIPT issue the DS-2019 and oversee compliance. The company hiring you is the host employer. You must secure both: a host employer willing to support a J-1 placement and a designated sponsor willing to administer the program for your specific role.
How do I find U.S. employers that are open to hosting J-1 Applied AI Engineers?
Search Migrate Mate to identify Applied AI Engineer roles at U.S. companies with a history of hosting exchange visitors. Not every employer is familiar with the J-1 host employer process, so targeting companies that have done it before significantly reduces friction during the offer and DS-2019 application stages.
Does the two-year home residency requirement apply to AI engineering roles?
It can, depending on your country of nationality, your country of last permanent residence, and whether your program receives government funding. Some countries appear on the State Department's Exchange Visitor Skills List for computing and information technology fields, which triggers the requirement. Confirm your specific situation with your designated sponsor before accepting an offer, since this requirement directly affects your future H-1B or immigrant visa options.
What is the DS-7002 Training Plan, and why does it matter for Applied AI Engineers?
The DS-7002 is a structured training plan required for J-1 Intern and Trainee categories. It must detail the specific skills, technologies, and competencies you will develop during your exchange, broken down by phase and duration. For Applied AI Engineer roles, this typically includes supervised work on machine learning pipelines, model deployment, or research projects. Both your host employer and designated sponsor must sign it before your DS-2019 is issued.
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