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Full Time Machine Learning Visa Sponsorship Jobs

Chefman

Machine Learning Engineer

Mahwah, NJ · On-site

As a Machine Learning Engineer, you will play a critical role in shaping the future of cooking ... Chefman is unable to provide visa sponsorship for this position. Candidates must be legally ...

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 ... visa sponsorship available for full-time employees. Working at Poesis As an early team member, you ...

Clera

Senior Machine Learning Engineer

Palo Alto, CA · Remote

$70 - $75/hr

Design, develop, deploy, and maintain enterprise-scale machine learning solutions end-to-end ... Visa sponsorship is not available; all work-authorized candidates are welcome to apply. Location ...

Blue River Technology

Machine Learning Engineer, Autonomy

OR · On-site +1

$113K - $202K/yr

Summary We are seeking a highly skilled and innovative Machine Learning Engineer to join the team ... Employment Type : Full-Time * Work Location : Remote in the United States * Visa sponsorship : Open ...

Clera

Founding Machine Learning Engineer

Mountain View, CA · On-site

$220K - $300K/yr

... core machine learning systems from scratch for frontier AI labs and enterprises. You'll bridge ... Visa sponsorship is not available for this role. Location On-site in Mountain View, California ...

New

Vanguard

Machine Learning Engineer, Specialist

Malvern, PA

$112K - $134K/yr

We are seeking an experienced Machine Learning Engineer to join our AI/ML Engineering team. You ... Special Factors Sponsorship Vanguard is not offering visa sponsorship for this position. About ...

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Full Time Machine Learning Visa Sponsorship information

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$58K

$83.2K

$130.5K

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

As of Aug 24, 2026, the average yearly pay for full time machine learning visa sponsorship in the United States is $83,176.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,000.00 and $91,500.00 per year, depending on experience, location, and employer.

What is the difference between Full Time Machine Learning Visa Sponsorship vs Data Scientist Visa Sponsorship?

AspectFull Time Machine Learning Visa SponsorshipData Scientist Visa Sponsorship
Required CredentialsMaster's or PhD in Computer Science, Data Science, or related fields; experience in ML algorithmsMaster's or PhD in Data Science, Statistics, or related fields; strong analytical skills
Work EnvironmentResearch labs, tech companies, AI startupsBusiness analytics, research teams, consulting firms
Employer & Industry UsageTech firms, AI companies, research institutionsFinance, healthcare, marketing, tech industries

Full Time Machine Learning Visa Sponsorship typically involves roles focused on developing and deploying machine learning models, requiring specialized technical skills. Data Scientist Visa Sponsorship often overlaps but emphasizes data analysis and statistical modeling. Both roles are in high demand in tech-driven industries, but ML roles tend to be more research and algorithm-focused, while Data Scientist roles focus on interpreting data for business insights.

More about Full Time Machine Learning Visa Sponsorship jobs

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What are the most commonly searched types of Machine Learning Visa Sponsorship jobs?

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The top searched job categories for Full Time Machine Learning Visa Sponsorship jobs are:

Full Time Machine Learning Visa Sponsorship jobs near you
Infographic showing various Full Time Machine Learning Visa Sponsorship job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $83,176 per year, or $40 per hour.

Machine Learning Engineer

Institute of Foundation Models

Sunnyvale, CA

$150K - $450K/yr

Full-time

Re-posted 11 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