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Internship Machine Learning Visa Sponsorship Jobs

Visa

Director, Machine Learning

Austin, TX · Hybrid

At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges ... We are currently looking for a Director of Machine Learning who will take the lead and manage ...

Poesis

Machine Learning Engineer

San Francisco, CA · On-site

$200K - $280K/yr

About the Role At Poesis, machine learning and artificial intelligence open the door to improved ... Current legal authorization to work in the US required; continuing work visa sponsorship available ...

Harvard University

Machine Learning Engineer

Boston, MA · On-site

$60/hr

Transform machine learning models into APIs to interact with other applications. * Use expert ... Visa Sponsorship Information: Harvard University is unable to provide visa sponsorship for this ...

Jane Street

Machine Learning Engineer

New York, NY · On-site

Many classes and activities are shared with our Software Engineering interns, while others focus specifically on machine learning applications and techniques. Machine learning is a critical pillar of ...

Jane Street

Machine Learning Engineer

New York, NY

Many classes and activities are shared with our Software Engineering interns, while others focus specifically on machine learning applications and techniques. Machine learning is a critical pillar of ...

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Internship Machine Learning Visa Sponsorship information

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$25.5K

$42.6K

$88K

How much do internship machine learning visa sponsorship jobs pay per year?

As of Jul 14, 2026, the average yearly pay for internship machine learning visa sponsorship in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.

What is an internship in machine learning with visa sponsorship?

An internship in machine learning with visa sponsorship is a temporary position offered by a company or institution to students or recent graduates who want to gain hands-on experience in machine learning, while also supporting their legal authorization to work in a country where they are not citizens or permanent residents. These internships typically involve working on real-world machine learning projects, collaborating with experienced professionals, and receiving mentorship. Visa sponsorship means the employer assists the intern in obtaining the necessary visa or work permit, such as an F-1 CPT/OPT in the US or a Tier 5 in the UK, so they can legally participate in the internship.

Do internships offer visa sponsorship?

Internships in fields like machine learning can offer visa sponsorship, especially for international students or candidates with specialized skills. Sponsorship depends on the company's policies, the internship's duration, and the applicant's visa status, and may require demonstrating relevant skills and qualifications. Not all internships provide sponsorship, so applicants should verify with the employer beforehand.

What are the key skills and qualifications needed to thrive as a Machine Learning Intern with Visa sponsorship, and why are they important?

To thrive as a Machine Learning Intern, you generally need a solid background in computer science, statistics, and mathematics, often supported by coursework or a degree in a related field. Familiarity with programming languages like Python or R, experience with machine learning libraries (such as TensorFlow, PyTorch, or scikit-learn), and exposure to data handling tools are typically expected. Strong analytical thinking, problem-solving abilities, and clear communication skills help interns collaborate effectively and learn quickly in diverse teams. These skills are essential for contributing meaningfully to projects, adapting to new challenges, and succeeding in a global, fast-paced work environment.

What types of projects do interns typically work on during a Machine Learning internship with visa sponsorship?

Interns in Machine Learning roles with visa sponsorship often contribute to real-world projects such as data preprocessing, developing and testing machine learning models, and assisting with research to improve algorithms. You may collaborate closely with data scientists, software engineers, and product teams to deploy models or analyze results. This hands-on work provides valuable exposure to industry-standard tools and practices, while also offering networking opportunities and mentorship. Such internships are structured to give you meaningful tasks that contribute to the team's goals and your professional growth.

Which AI companies sponsor visas?

Many leading AI companies, including Google, Microsoft, Amazon, Facebook, and Apple, sponsor visas for qualified candidates, especially for roles in machine learning and AI research. Sponsorship policies vary by company and role, often requiring specialized skills, relevant experience, and sometimes security clearances or certifications.

Can I do an internship in the USA with an F-1 visa?

Yes, F-1 visa holders can participate in internships through Curricular Practical Training (CPT) or Optional Practical Training (OPT), which allow students to gain work experience related to their field of study. These programs require approval from the school's international student office and compliance with specific employment and timing regulations.

Which companies will sponsor me for visa sponsorship?

Many technology and data-driven companies, including large firms and startups, sponsor visa applications for machine learning internship roles. Sponsorship availability often depends on the company's policies, the candidate's skills in programming, data analysis, and familiarity with tools like Python or TensorFlow, as well as current immigration regulations.
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Internship Machine Learning Visa Sponsorship jobs near you

Machine Learning Engineer

Institute of Foundation Models

Sunnyvale, CA

$150K - $450K/yr

Full-time

Re-posted 16 hours ago

Job description

About the Institute of Foundation Models
We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.

As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.



The Role
As a Machine Learning Engineer at the Institute of Foundation Models, your primary responsibility is to develop and implement innovative machine learning models that address real-world challenges, pushing the boundaries of artificial intelligence research. You will collaborate with cross-functional teams to deploy scalable solutions, contributing to MBZUAI’s mission of driving impactful AI discoveries and positioning the institution as a leader in the global AI research community. Your expertise will be key in enhancing the performance of large-scale machine learning models, while supporting the development of transformative AI tools that can influence industries worldwide.
Key Responsibilites
  • Collaborate with Research teams to understand technologies, adapting and integrating them into codebase.
  • Develop and implement systems to support the lifecycle of machine learning models, such as data preprocessing, pre-training, post-training, evaluation and so on, especially foundation models.
  • Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
  • Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
  • Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
  • Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
  • Contribute to research papers and represent MBZUAI at industry conferences and events, showcasing the institution’s cutting-edge HPC and deep learning capabilities and establishing MBZUAI as a global leader in AI research and innovation.
  • Perform all other duties as reasonably directed by the line manager that are commensurate with these functional objectives.
Academic Qualifications
  • Minimum: Bachelor’s degree or equivalent practical experience. 
  • Preferred: Master's degree or PhD in Computer Science or related technical field.
 
Professional Experience - Minimum
  • 3 years of experience in software engineering, including experience with Machine Learning (ML) models, ML infrastructure, Natural Language Processing or Computer Vision.
  • 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree in an industry setting.
  • 2 years of experience with data structures or algorithms in either an academic or industry setting.
  • 2 years of experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning, or natural language processing.
  • Excellent problem-solving and troubleshooting skills to address complex technical challenges.
  • Effective communication and collaboration skills to work with cross functional teams.
Professional Experience - Preferred
  • 2 years of experience with improving performance during large scale data processing
  • Hands-on experience with LLM algorithms, such as Supervised Fine-Tuning (SFT) and Reinforcement Learning with Human Feedback (RLHF).
  • Excellent data analysis skills.
Visa Sponsorship
This position is eligible for visa sponsorship.

Benefits Include
*Comprehensive medical, dental, and vision benefits 
 *Bonus
*401K Plan
*Generous paid time off, sick leave and holidays
*Paid Parental Leave
*Employee Assistance Program
*Life insurance and disability