CPT AI Research Engineer Jobs
AI Research Engineer jobs qualify for CPT when the work ties directly to your graduate program in machine learning, computer science, or a related field. Your DSO must authorize each position before you start, and the role must appear in your curriculum as required or elective practical training.
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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 Research Engineer CPT: Frequently Asked Questions
Does an AI Research Engineer role qualify for CPT at most universities?
Qualification depends on your program, not the job title. Your degree must include a practical training component, and the role must integrate directly into your coursework or research requirements. Most graduate programs in computer science, electrical engineering, or data science treat AI research positions as eligible, but your DSO makes the final call based on your specific curriculum and the employer's job description.
Can I do CPT at a research lab or startup instead of a large tech company?
Yes. CPT authorization is based on the role's connection to your curriculum, not the employer's size or type. National labs, university-affiliated research centers, and early-stage AI startups all qualify as long as the work aligns with your program and your DSO approves the placement. Startups that lack an established HR process may need more lead time to produce the offer letter your DSO requires.
How do I find AI Research Engineer jobs where employers are open to CPT students?
Search on Migrate Mate, which surfaces employers with a documented history of hiring F-1 students for research and engineering roles. Filtering by role type and work authorization history helps you avoid positions where the recruiter will screen you out before the hiring manager sees your application.
What happens if my CPT role transitions into a full-time offer before I graduate?
A full-time offer before graduation doesn't automatically extend your CPT authorization. If you want to continue working, your DSO needs to issue a new CPT authorization for the updated terms. If the role converts to a post-graduation offer, you'd transition to OPT rather than CPT once you finish your degree and your OPT EAD is approved.
Does the research I do during CPT count toward an eventual H-1B specialty occupation determination?
USCIS evaluates H-1B visa specialty occupation based on whether the role requires at least a bachelor's degree in a specific field at the time of the H-1B petition, not on prior work history. That said, CPT experience in AI research strengthens the employer's position when documenting that the role consistently requires advanced degree-level knowledge, which supports the specialty occupation argument in the I-129 petition.