Machine Learning Intern Jobs in USA with Visa Sponsorship
Machine Learning Intern roles are among the most actively sponsored positions in the U.S. tech sector, with employers regularly filing H-1B and OPT-extension paperwork for strong candidates. Most openings require F-1 status with CPT or OPT authorization, and many convert to full-time sponsored roles. For detailed occupation requirements, see the O*NET profile.
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Get Access To All JobsINTRODUCTION
At F5, we strive to bring a better digital world to life. Our teams empower organizations across the globe to create, secure, and run applications that enhance how we experience our evolving digital world. We are passionate about cybersecurity, from protecting consumers from fraud to enabling companies to focus on innovation.
Everything we do centers around people. That means we obsess over how to make the lives of our customers, and their customers, better. And it means we prioritize a diverse F5 community where each individual can thrive.
Position Summary
Are you a curious, motivated student in Computer Science ready to make an impact? Join F5’s Summer Internship Program and dive into hands-on projects that power real-world solutions. As a Software Development Engineer (AI/ML) Intern, you will collaborate with talented engineers, design and build scalable systems, and explore technologies that keep the digital world safe. Whether your passion is backend development, DevOps, or learning new tools, you’ll take on meaningful challenges, sharpen your skills, and make your mark at F5.
Eligibility: This internship is open to students pursuing their bachelor’s or master’s degree at an accredited college or university in the US, planning to graduate between December 2026 and June 2027. Our interns (and their potential subsequent full-time role) are required to be based in one of our US hub locations where you can experience a hybrid working environment. Interns will be based in San Jose, CA based on team placement. This role will be San Jose, CA based and interns are expected to relocate if not currently in one of those areas.
Responsibilities
- Contribute to real-world projects and the development cycle of products that meet team goals.
- Work with peers to design, implement, and test code in a collaborative environment.
- Help analyze requirements, test features, and integrate components into applications.
- Assist with creating technical documentation for designs and new features.
- Participate in design and code reviews to learn best practices and ensure quality.
- Collaborate with your project team to explore and develop data-driven solutions.
KNOWLEDGE, SKILLS AND ABILITIES
- Technical Curiosity: You’re eager to apply your programming knowledge, learn new languages and tools, and grow your technical skill set.
- Problem-Solving Mindset: You can think critically, use data to make decisions, and aren’t afraid to ask questions when faced with challenges.
- Adaptability & Initiative: You’re willing to take on new challenges, contribute ideas, and adapt as projects evolve.
- Team Player: You enjoy working with others, exchanging ideas, and supporting your peers to achieve common goals.
- Strong Communicator: You can share your thoughts clearly, listen actively, and value different perspectives on the team.
QUALIFICATIONS
- In the process of completing a bachelor’s degree in Artificial Intelligence, Data Science, Computer Science, Software Engineering, Information Technology, Computer Engineering, or related fields.
- Must have at least one additional quarter/semester of school remaining following the completion of the internship.
- Be enrolled in an accredited college or university in the United States.
- Demonstrated experience programming in an object-oriented language (e.g. Python, Go, Java, C#, C).
- Foundational understanding of AI/ML concepts (e.g., supervised vs. unsupervised learning, train/test splits, overfitting, and common evaluation metrics).
- Demonstrated knowledge in computer science fundamentals (e.g. Data Structures and Algorithms).
- Must be willing to relocate to San Jose, CA for the internship and for a subsequent full-time role upon graduation, if offered.
PREFERRED SKILLS (Not Required but Valued)
- Experience with Systems & Scripting (e.g. Linux, Shell scripting).
- Experience with Infrastructure & DevOps (e.g. CI/CD automation, Docker, Kubernetes).
- Experience building LLM-based applications (e.g., RAG, chatbots, or AI agents with tool/function calling) through projects or coursework.
- Experience with Research & Applications (e.g., AI/ML), including exploring existing approaches (papers, blogs, or open-source), turning them into proof-of-concepts, and documenting results and recommendations; publications or open-source contributions are a plus.
WHY YOU’LL LOVE F5
- Training & Mentoring: Develop your skills with comprehensive training and support from experienced mentors.
- Wellness Weekends: Enjoy additional days off for rest and rejuvenation.
- Continuous Learning: Embrace daily learning opportunities with autonomy and responsibility.
- Intern Week: Gather with company leaders, fellow interns, and future colleagues for a fun and interactive week of events to celebrate interns and prepare you for a future at F5.
- Path to Permanency: Excel in your internship and return to a full-time role in the same location after graduation!
COMPENSATION
The hourly U.S. pay range for this position is: $42.00 - $63.60. F5 maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, geographic locations, and market conditions, as well as to reflect F5’s differing products, industries, and lines of business. The pay range referenced is as of the time of the job posting and is subject to change. You may also be offered incentive compensation, bonus, restricted stock units, and benefits. More details about F5’s benefits can be found at the following link: https://www.f5.com/company/careers/benefits. F5 reserves the right to change or terminate any benefit plan without notice.
Please note that F5 only contacts candidates through F5 email address (ending with @f5.com) or auto email notification from Workday (ending with f5.com or @myworkday.com).
Equal Employment Opportunity
It is the policy of F5 to provide equal employment opportunities to all employees and employment applicants without regard to unlawful considerations of race, religion, color, national origin, sex, sexual orientation, gender identity or expression, age, sensory, physical, or mental disability, marital status, veteran or military status, genetic information, or any other classification protected by applicable local, state, or federal laws. This policy applies to all aspects of employment, including, but not limited to, hiring, job assignment, compensation, promotion, benefits, training, discipline, and termination. F5 offers a variety of reasonable accommodations for candidates. Requesting an accommodation is completely voluntary. F5 will assess the need for accommodations in the application process separately from those that may be needed to perform the job. Request by contacting accommodations@f5.com.
INTRODUCTION
At F5, we strive to bring a better digital world to life. Our teams empower organizations across the globe to create, secure, and run applications that enhance how we experience our evolving digital world. We are passionate about cybersecurity, from protecting consumers from fraud to enabling companies to focus on innovation.
Everything we do centers around people. That means we obsess over how to make the lives of our customers, and their customers, better. And it means we prioritize a diverse F5 community where each individual can thrive.
Position Summary
Are you a curious, motivated student in Computer Science ready to make an impact? Join F5’s Summer Internship Program and dive into hands-on projects that power real-world solutions. As a Software Development Engineer (AI/ML) Intern, you will collaborate with talented engineers, design and build scalable systems, and explore technologies that keep the digital world safe. Whether your passion is backend development, DevOps, or learning new tools, you’ll take on meaningful challenges, sharpen your skills, and make your mark at F5.
Eligibility: This internship is open to students pursuing their bachelor’s or master’s degree at an accredited college or university in the US, planning to graduate between December 2026 and June 2027. Our interns (and their potential subsequent full-time role) are required to be based in one of our US hub locations where you can experience a hybrid working environment. Interns will be based in San Jose, CA based on team placement. This role will be San Jose, CA based and interns are expected to relocate if not currently in one of those areas.
Responsibilities
- Contribute to real-world projects and the development cycle of products that meet team goals.
- Work with peers to design, implement, and test code in a collaborative environment.
- Help analyze requirements, test features, and integrate components into applications.
- Assist with creating technical documentation for designs and new features.
- Participate in design and code reviews to learn best practices and ensure quality.
- Collaborate with your project team to explore and develop data-driven solutions.
KNOWLEDGE, SKILLS AND ABILITIES
- Technical Curiosity: You’re eager to apply your programming knowledge, learn new languages and tools, and grow your technical skill set.
- Problem-Solving Mindset: You can think critically, use data to make decisions, and aren’t afraid to ask questions when faced with challenges.
- Adaptability & Initiative: You’re willing to take on new challenges, contribute ideas, and adapt as projects evolve.
- Team Player: You enjoy working with others, exchanging ideas, and supporting your peers to achieve common goals.
- Strong Communicator: You can share your thoughts clearly, listen actively, and value different perspectives on the team.
QUALIFICATIONS
- In the process of completing a bachelor’s degree in Artificial Intelligence, Data Science, Computer Science, Software Engineering, Information Technology, Computer Engineering, or related fields.
- Must have at least one additional quarter/semester of school remaining following the completion of the internship.
- Be enrolled in an accredited college or university in the United States.
- Demonstrated experience programming in an object-oriented language (e.g. Python, Go, Java, C#, C).
- Foundational understanding of AI/ML concepts (e.g., supervised vs. unsupervised learning, train/test splits, overfitting, and common evaluation metrics).
- Demonstrated knowledge in computer science fundamentals (e.g. Data Structures and Algorithms).
- Must be willing to relocate to San Jose, CA for the internship and for a subsequent full-time role upon graduation, if offered.
PREFERRED SKILLS (Not Required but Valued)
- Experience with Systems & Scripting (e.g. Linux, Shell scripting).
- Experience with Infrastructure & DevOps (e.g. CI/CD automation, Docker, Kubernetes).
- Experience building LLM-based applications (e.g., RAG, chatbots, or AI agents with tool/function calling) through projects or coursework.
- Experience with Research & Applications (e.g., AI/ML), including exploring existing approaches (papers, blogs, or open-source), turning them into proof-of-concepts, and documenting results and recommendations; publications or open-source contributions are a plus.
WHY YOU’LL LOVE F5
- Training & Mentoring: Develop your skills with comprehensive training and support from experienced mentors.
- Wellness Weekends: Enjoy additional days off for rest and rejuvenation.
- Continuous Learning: Embrace daily learning opportunities with autonomy and responsibility.
- Intern Week: Gather with company leaders, fellow interns, and future colleagues for a fun and interactive week of events to celebrate interns and prepare you for a future at F5.
- Path to Permanency: Excel in your internship and return to a full-time role in the same location after graduation!
COMPENSATION
The hourly U.S. pay range for this position is: $42.00 - $63.60. F5 maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, geographic locations, and market conditions, as well as to reflect F5’s differing products, industries, and lines of business. The pay range referenced is as of the time of the job posting and is subject to change. You may also be offered incentive compensation, bonus, restricted stock units, and benefits. More details about F5’s benefits can be found at the following link: https://www.f5.com/company/careers/benefits. F5 reserves the right to change or terminate any benefit plan without notice.
Please note that F5 only contacts candidates through F5 email address (ending with @f5.com) or auto email notification from Workday (ending with f5.com or @myworkday.com).
Equal Employment Opportunity
It is the policy of F5 to provide equal employment opportunities to all employees and employment applicants without regard to unlawful considerations of race, religion, color, national origin, sex, sexual orientation, gender identity or expression, age, sensory, physical, or mental disability, marital status, veteran or military status, genetic information, or any other classification protected by applicable local, state, or federal laws. This policy applies to all aspects of employment, including, but not limited to, hiring, job assignment, compensation, promotion, benefits, training, discipline, and termination. F5 offers a variety of reasonable accommodations for candidates. Requesting an accommodation is completely voluntary. F5 will assess the need for accommodations in the application process separately from those that may be needed to perform the job. Request by contacting accommodations@f5.com.
How to Get Visa Sponsorship as a Machine Learning Intern
Lead with technical depth, not sponsorship need
Recruiters at ML-heavy companies screen for PyTorch, TensorFlow, and research experience before asking about visa status. Establish your technical fit clearly in applications, then address sponsorship directly only when asked or during offer discussions.
Apply to companies with STEM OPT track records
Employers in computer science, engineering, and data science fields routinely approve STEM OPT extensions, giving you 36 months of work authorization. Prioritize employers whose job descriptions explicitly mention visa sponsorship or have sponsored STEM extensions before.
Use a research publication or project to stand out
Machine learning internships are highly competitive. A published paper, an open-source contribution with real GitHub activity, or a Kaggle competition result gives your application a concrete signal that justifies sponsorship investment from a hiring manager's perspective.
Ask about conversion pathways during the offer stage
Many ML internships convert to full-time roles with H-1B sponsorship. Ask directly whether the company has sponsored H-1B petitions for former interns, and confirm whether your role qualifies as a specialty occupation under their legal team's interpretation.
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Get Access To All JobsFrequently Asked Questions
Can international students on F-1 visas work as Machine Learning Interns in the U.S.?
Yes. F-1 students can work as Machine Learning Interns using Curricular Practical Training during their studies or Optional Practical Training after graduation. CPT requires prior DSO authorization and must relate directly to your degree program. OPT gives you up to 12 months of work authorization, with a 24-month STEM extension available for qualifying computer science and engineering degrees, bringing the total to 36 months.
Do Machine Learning Intern roles typically convert to H-1B-sponsored full-time positions?
At larger tech employers, conversion rates from ML intern to full-time sponsored hire are meaningfully high, particularly for candidates who complete a successful internship. Companies including Amazon, Google, and Microsoft have consistent track records of filing H-1B petitions for former interns. Smaller startups convert less predictably, so it's worth asking directly during the offer stage whether they've sponsored H-1B petitions for prior interns in machine learning or adjacent engineering roles.
What degree is required for a Machine Learning Internship to qualify for visa sponsorship?
Most ML internship roles require enrollment in or completion of a bachelor's, master's, or PhD program in computer science, data science, electrical engineering, statistics, or a closely related field. For H-1B purposes, the degree must relate specifically to the duties of the role. A general business or liberal arts degree will rarely satisfy the specialty occupation requirement for a machine learning position, even with strong practical experience.
Where can I find Machine Learning Intern jobs that explicitly offer visa sponsorship?
Migrate Mate filters job listings specifically for roles open to visa sponsorship, which saves time compared to sorting through postings that exclude international candidates. Browse ML intern openings on Migrate Mate to find companies that have a demonstrated history of sponsoring F-1 OPT, STEM OPT extensions, and H-1B petitions for engineering and data science roles.
Does full-time CPT during a Machine Learning Internship affect my OPT eligibility?
Yes, and this is a critical detail to get right before accepting an offer. If you accumulate 12 or more months of full-time CPT (20 or more hours per week), you lose your post-completion OPT eligibility entirely. Part-time CPT, regardless of total duration, does not affect OPT. If you're considering multiple back-to-back full-time internships, track your CPT hours carefully with your DSO and consider whether preserving OPT eligibility is strategically more valuable.
What is the prevailing wage requirement for sponsored Machine Learning Intern jobs?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.
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