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Machine Learning Visa Sponsorship Jobs (NOW HIRING)

Visa

Director, Machine Learning

Austin, TX · On-site

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 ...

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 ...

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Machine Learning Visa Sponsorship information

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$25.5K

$42.6K

$88K

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

As of Jul 7, 2026, the average yearly pay for 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 types of projects and responsibilities can I expect as a Machine Learning professional in a company offering visa sponsorship?

As a Machine Learning professional in a visa-sponsored role, you’ll typically work on projects involving data preprocessing, developing and training models, and deploying solutions to solve real-world business problems. Your daily responsibilities may include collaborating with data engineers and domain experts, conducting experiments, optimizing algorithms, and communicating findings to both technical and non-technical stakeholders. Teams are often international and diverse, providing valuable cross-cultural experience and opportunities for personal growth. Many companies also encourage ongoing learning and offer pathways to progress into senior or specialized roles, making this a great environment to advance your career.

What are the key skills and qualifications needed to thrive in the Machine Learning Visa Sponsorship position, and why are they important?

To thrive in a Machine Learning role with visa sponsorship, candidates typically need a strong background in computer science, statistics, and mathematics, often supported by a relevant degree or equivalent experience. Proficiency with programming languages such as Python or R, experience with popular machine learning libraries (like TensorFlow, PyTorch, or scikit-learn), and familiarity with cloud computing platforms are commonly required, as are certifications like AWS Certified Machine Learning. Strong problem-solving abilities, communication skills, and the ability to collaborate effectively in diverse teams help candidates stand out. These skills are critical for building robust, scalable machine learning solutions while working efficiently in international and multidisciplinary environments.

What is a Machine Learning Visa Sponsorship job?

A Machine Learning Visa Sponsorship job is a role in the field of machine learning where an employer is willing to sponsor a work visa for a qualified candidate. These jobs are typically offered by companies facing a shortage of local talent and seeking skilled professionals from other countries. Sponsorship can cover visas such as the H-1B (U.S.), Skilled Worker visa (UK), or other work permits depending on the country. Candidates usually need strong expertise in machine learning, AI, data science, or related fields. Employers may also assist with relocation and legal work authorization processes.

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Machine Learning Visa Sponsorship jobs near you

Machine Learning Engineer

Institute of Foundation Models

Sunnyvale, CA

Full-time

Posted 23 days 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