CPT AI Product Engineer Jobs
AI Product Engineer jobs on CPT sit at the intersection of machine learning systems and product development, making them strong fits for graduate programs in CS, data science, or AI. Your DSO must authorize CPT as integral to your curriculum before you start, and part-time CPT (under 20 hours per week) keeps your full-time OPT eligibility intact after graduation.
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Get Access To All JobsArtificial Intelligence Engineering Intern
The Artificial Intelligence Engineering Intern is responsible for supporting the development, implementation, and management of AI solutions and machine learning models that address complex business challenges. This internship position is designed to provide hands-on experience in AI development while fostering collaboration across multiple departments to create innovative solutions that enhance decision-making and business performance.
Responsibilities:
- Collaborate with team members to understand business requirements and assist in designing scalable AI applications aligned with organizational objectives.
- Develop high-performing, reusable, and reliable code following industry standards and best practices under the guidance of senior engineers.
- Support various phases of the Software Development Life Cycle (SDLC), including requirement gathering, design, implementation, testing, deployment, documentation, and maintenance.
- Assist in building pipelines leveraging tools such as Python, Spark, Azure ML, and OpenAI.
- Work with data analysts, data engineers, and software engineers to translate business requirements into technical solutions.
- Troubleshoot, analyze, and resolve AI performance issues and production problems.
- Maintain up-to-date knowledge of advancements in AI, machine learning, and data engineering.
- Participate actively in team meetings, contributing ideas and insights to drive continuous improvement.
- Create necessary documentation relating to work produced during the internship.
Basic Qualifications:
- Currently pursuing a Bachelor's degree or higher in Computer Science, AI, Data Science, or a related field.
- Strong foundational knowledge of Python programming (e.g., Spark, pandas) and SQL.
- Familiarity with AI methodologies, including supervised/unsupervised learning, regression analysis, and neural networks.
- Practical knowledge of cloud platforms, particularly Azure (Azure Synapse, Azure ML, Azure Data Factory, Azure Functions).
- Exposure to software development fundamentals such as SOLID principles, Object-Oriented Design, and Domain Driven Design.
- Strong problem-solving skills and a proactive attitude.
Bonus Points:
- Familiarity with tools such as Visual Studio, Git, and Azure DevOps.
- Knowledge of Agile methodologies and Test Driven Development (TDD).
- Awareness of cutting-edge industry trends and technologies.
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.
Artificial Intelligence Engineering Intern
The Artificial Intelligence Engineering Intern is responsible for supporting the development, implementation, and management of AI solutions and machine learning models that address complex business challenges. This internship position is designed to provide hands-on experience in AI development while fostering collaboration across multiple departments to create innovative solutions that enhance decision-making and business performance.
Responsibilities:
- Collaborate with team members to understand business requirements and assist in designing scalable AI applications aligned with organizational objectives.
- Develop high-performing, reusable, and reliable code following industry standards and best practices under the guidance of senior engineers.
- Support various phases of the Software Development Life Cycle (SDLC), including requirement gathering, design, implementation, testing, deployment, documentation, and maintenance.
- Assist in building pipelines leveraging tools such as Python, Spark, Azure ML, and OpenAI.
- Work with data analysts, data engineers, and software engineers to translate business requirements into technical solutions.
- Troubleshoot, analyze, and resolve AI performance issues and production problems.
- Maintain up-to-date knowledge of advancements in AI, machine learning, and data engineering.
- Participate actively in team meetings, contributing ideas and insights to drive continuous improvement.
- Create necessary documentation relating to work produced during the internship.
Basic Qualifications:
- Currently pursuing a Bachelor's degree or higher in Computer Science, AI, Data Science, or a related field.
- Strong foundational knowledge of Python programming (e.g., Spark, pandas) and SQL.
- Familiarity with AI methodologies, including supervised/unsupervised learning, regression analysis, and neural networks.
- Practical knowledge of cloud platforms, particularly Azure (Azure Synapse, Azure ML, Azure Data Factory, Azure Functions).
- Exposure to software development fundamentals such as SOLID principles, Object-Oriented Design, and Domain Driven Design.
- Strong problem-solving skills and a proactive attitude.
Bonus Points:
- Familiarity with tools such as Visual Studio, Git, and Azure DevOps.
- Knowledge of Agile methodologies and Test Driven Development (TDD).
- Awareness of cutting-edge industry trends and technologies.
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.
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Get Access To All JobsAI Product Engineer CPT: Frequently Asked Questions
Does an AI Product Engineer role qualify for CPT?
Yes, if the role is integral to your degree program and your school's DSO authorizes it. AI Product Engineer positions typically align with graduate programs in computer science, AI, or data science. The job duties must connect directly to your coursework, not just your general field of study. Your DSO makes the final determination based on your specific program requirements and the employer's job description.
Can I do CPT part-time as an AI Product Engineer while taking classes?
Yes. Part-time CPT is authorized for 20 hours per week or fewer while you're enrolled full-time. This is the preferred structure for most F-1 students because 12 months or more of full-time CPT eliminates your OPT eligibility entirely. Part-time CPT has no such cap, so you preserve your post-graduation OPT window regardless of how many semesters you work.
What job titles count as AI Product Engineer for CPT purposes?
CPT authorization is tied to curriculum fit, not job title alone. Roles combining ML engineering with product development, such as ML Platform Engineer, Applied AI Engineer, or Product AI Specialist, can qualify if your DSO confirms alignment. O*NET classifies this work under software developer and ML engineer occupation codes. Bring your offer letter to your DSO with specific duty descriptions rather than relying on the title.
How do I find employers who regularly hire F-1 CPT students for AI Product Engineer roles?
Use Migrate Mate to identify employers with documented work authorization filing history in AI and product engineering roles. Companies that have filed LCAs for ML and product-adjacent positions are familiar with F-1 documentation requirements and more likely to have HR processes in place for CPT students. This is more reliable than filtering by company size or industry reputation alone.
Does my AI Product Engineer CPT employer need to file anything with USCIS?
No. CPT authorization is entirely school-based. Your DSO updates your I-20 with the employer name, start date, and authorized hours. Neither you nor your employer files anything with USCIS for CPT. However, if the employer plans to sponsor you for OPT STEM extension later, they must be enrolled in E-Verify at that time. CPT itself carries no government filing requirement on the employer's side.