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Independent Contractor Machine Learning Visa Sponsorship Jobs

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 ...

Dow

Machine Learning Engineer

Houston, TX · On-site

No visa sponsorship/support is available for this position, including for any type of U.S ... Ability to work independently and collaboratively in a fast-paced and dynamic environment

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 ...

Vangard, Inc.

Senior Machine Learning Engineer

Malvern, PA

$102K - $140K/yr

Design, build, and maintain end-to-end machine learning pipelines from research through production ... Special Factors Sponsorship Vanguard is not offering visa sponsorship for this position. About ...

Vanguard Group

Senior Machine Learning Engineer

Malvern, PA · On-site

$102K - $140K/yr

Design, build, and maintain end-to-end machine learning pipelines from research through production ... Special Factors Sponsorship Vanguard is not offering visa sponsorship for this position. About ...

Clera

Senior Machine Learning Engineer

San Francisco, CA · On-site

$70 - $75/hr

This is a W2 contract role for work-authorized candidates (no visa sponsorship available). You'll ... machine learning experience. * Healthcare domain experience is mandatory - including HIPAA ...

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All JobsIndependent Contractor Machine Learning Visa Sponsorship Jobs

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How much do independent contractor machine learning visa sponsorship jobs pay per week?

As of Aug 6, 2026, the average weekly pay for independent contractor machine learning visa sponsorship in the United States is $1,089.33, according to ZipRecruiter salary data. Most workers in this role earn between $721.15 and $1,211.54 per week, depending on experience, location, and employer.

What are common challenges independent contractor machine learning professionals face when working with clients who offer visa sponsorship?

Independent contractor machine learning professionals working with clients who offer visa sponsorship often encounter challenges such as navigating complex immigration requirements and ensuring their work arrangements comply with both local labor laws and visa conditions. Communication across time zones and cultural differences can also add complexity, especially when collaborating remotely with global teams. Additionally, contractors may need to manage their own taxes, benefits, and insurance independently, as these are not typically provided by the client. Building strong relationships and maintaining clear documentation are key to overcoming these challenges and ensuring successful project delivery.

What are the key skills and qualifications needed to thrive as an independent contractor in machine learning when seeking visa sponsorship?

To succeed as an Independent Contractor in Machine Learning, you need advanced knowledge of machine learning algorithms, strong programming skills (typically in Python or R), and a relevant degree in computer science or a related field. Familiarity with tools like TensorFlow, PyTorch, and cloud platforms (e.g., AWS, Google Cloud) is common, and certifications such as AWS Certified Machine Learning or TensorFlow Developer can be advantageous. Excellent communication, self-management, and problem-solving abilities help you excel in remote or client-driven environments. These skills ensure you can deliver impactful solutions, meet client expectations, and navigate the complexities of working independently and across borders.

What is an independent contractor machine learning visa sponsorship?

An Independent Contractor Machine Learning Visa Sponsorship refers to an arrangement where a company sponsors a visa for a foreign machine learning professional who works as an independent contractor rather than as a direct employee. This setup allows skilled machine learning specialists to provide services to businesses in countries where they need a work visa, but it can be complex due to legal requirements. Some countries limit visa sponsorships to full-time employees, while others may have pathways for contractors, such as through specialized work or freelance visas. It's important for both the contractor and the sponsoring company to understand the specific immigration laws and regulations in the target country.

What is the difference between Independent Contractor Machine Learning Visa Sponsorship vs Data Scientist Machine Learning Visa Sponsorship?

AspectIndependent Contractor Machine Learning Visa SponsorshipData Scientist Machine Learning Visa Sponsorship
CredentialsTypically requires relevant degrees and certifications in machine learning or data scienceRequires similar credentials, often including advanced degrees in data science, statistics, or related fields
Work EnvironmentFreelance or project-based, often remote, with flexible contractsUsually employed full-time by a company or research organization, with structured roles
Employer UsageHired by multiple clients or companies on a contract basisEmployed by a single organization, focusing on data analysis and modeling

Both roles require strong machine learning knowledge and relevant certifications. The key difference lies in employment type: independent contractors work on a project basis with multiple clients, while data scientists are typically full-time employees within organizations. Visa sponsorship options are available for both, depending on the employer and project scope.

What cities are hiring for Independent Contractor Machine Learning Visa Sponsorship jobs? Cities with the most Independent Contractor Machine Learning Visa Sponsorship job openings:
What are the most commonly searched types of Machine Learning Visa Sponsorship jobs? The most popular types of Machine Learning Visa Sponsorship jobs are:
What states have the most Independent Contractor Machine Learning Visa Sponsorship jobs? States with the most job openings for Independent Contractor Machine Learning Visa Sponsorship jobs include:
Independent Contractor Machine Learning Visa Sponsorship jobs near you

Machine Learning Engineer

Institute of Foundation Models

Sunnyvale, CA • On-site

$150K - $450K/yr

Full-time

Re-posted 24 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