CPT Applied AI Engineer Jobs
Applied AI Engineer jobs let F-1 students on CPT work on production-grade machine learning systems, LLM pipelines, and AI product development while earning academic credit. Your DSO must authorize CPT before your start date, and the role must connect directly to your degree program's learning objectives.
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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.
See all 33+ CPT Applied AI Engineer Jobs
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Get Access To All JobsApplied AI Engineer CPT: Frequently Asked Questions
Does an Applied AI Engineer job qualify for CPT authorization?
It qualifies if the role is an integral part of your degree program and directly relates to your field of study. Applied AI Engineer positions typically involve machine learning systems, model deployment, and AI product development, which align well with computer science, data science, and engineering curricula. Your DSO makes the final determination, so bring the full job description to your authorization meeting.
Can I do full-time CPT as an Applied AI Engineer without losing OPT?
Full-time CPT, meaning 20 or more hours per week, used for 12 months or more eliminates your OPT eligibility entirely. Part-time CPT, under 20 hours per week, has no impact on OPT regardless of duration. If the Applied AI Engineer role is full-time, track your cumulative CPT hours carefully with your DSO to protect your post-graduation options.
How do I find Applied AI Engineer employers who are familiar with CPT?
Use Migrate Mate to search for Applied AI Engineer roles filtered by employers with verified work authorization history. Employers who have filed Labor Condition Applications for AI and machine learning roles through DOL are more likely to have HR teams experienced with CPT documentation, I-20 processing, and international student onboarding.
What documents does an employer need to verify my CPT work authorization?
Your employer needs your valid I-20 with the CPT authorization section completed by your DSO, your F-1 visa stamp, and your passport. Unlike OPT, CPT does not require an EAD card. Some E-Verify enrolled employers will also run an I-9 verification using these documents. Make sure your I-20 reflects the correct employer name, start date, and authorized hours before your first day.
Is there a cap on the number of Applied AI Engineer CPT positions I can hold?
There's no federal cap on CPT positions, but each authorization is specific to one employer and one period. If you switch employers or extend your role, your DSO must issue a new or updated I-20 with revised CPT dates. Holding concurrent CPT positions at multiple employers is technically possible but requires separate authorization for each and additional DSO review.