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Commission Machine Learning Visa Sponsorship Jobs

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 ...

Advatix Inc.

Machine Learning Engineer

San Mateo, CA · On-site

$110 - $165/hr

Machine Learning Engineer / Research Engineer Pay: $$110,000 - $165,000 Base Salary + Equity Shift ... San Mateo, CA (Peninsula) - Onsite Preferred Schedule: Full time, Permanent Role Visa Sponsorship:

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 ...

Unitytech

Machine Learning Engineer

Mountain View, CA · On-site +1

$117K - $152K/yr

Work visa/immigration sponsorship is not available for this position Base Salary Range: We ... sales commissions). The final offer amount will depend on several factors, including geographic ...

Unitytech

Machine Learning Engineer

San Francisco, CA · On-site +1

$117K - $152K/yr

Work visa/immigration sponsorship is not available for this position Base Salary Range: We ... sales commissions). The final offer amount will depend on several factors, including geographic ...

Unitytech

Machine Learning Engineer

Bellevue, WA · On-site +1

$117K - $152K/yr

Work visa/immigration sponsorship is not available for this position Base Salary Range: We ... sales commissions). The final offer amount will depend on several factors, including geographic ...

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 ... Visa sponsorship : Open to visa sponsorship. Job Responsibilities A combination, not necessarily ...

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All JobsMachine Learning Visa Sponsorship JobsCommission Machine Learning Visa Sponsorship Jobs

Commission Machine Learning Visa Sponsorship information

What is a commission machine learning visa sponsorship?

A Commission Machine Learning Visa Sponsorship job refers to a position in the field of machine learning where the employee's compensation is partly or wholly based on commissions, such as performance-based incentives or sales of machine learning solutions. In addition, the employer is willing to sponsor eligible candidates for a work visa, enabling non-citizens to legally work in the country. These roles typically involve developing, deploying, or selling machine learning models and require strong technical and communication skills. It's ideal for professionals looking to work internationally while earning based on performance.

What are the key skills and qualifications needed to thrive as a machine learning engineer, and why are they important?

To thrive as a Machine Learning Engineer, you need a solid background in computer science, mathematics, and statistics, often supported by a relevant degree and experience with machine learning algorithms. Familiarity with programming languages such as Python or R, as well as tools like TensorFlow, PyTorch, or scikit-learn, and sometimes certifications like AWS Certified Machine Learning, are typically required. Strong problem-solving abilities, effective communication, and a collaborative mindset help you stand out in this role. These skills ensure the successful development, deployment, and optimization of machine learning models that drive business value.

What types of projects can a commission machine learning specialist expect to work on, and how is collaboration typically structured within the team?

As a Commission Machine Learning specialist, you can expect to work on projects involving the development, deployment, and optimization of machine learning models that directly impact business metrics, such as sales or user engagement. Collaboration is often cross-functional, involving close interaction with data engineers, product managers, and software developers to ensure that models are both technically sound and aligned with business goals. Agile methodologies are commonly used, with regular team meetings, code reviews, and shared progress updates to maintain alignment. This environment fosters continuous learning and provides opportunities to contribute to critical decision-making processes.

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

AspectCommission Machine Learning Visa SponsorshipData Scientist Visa Sponsorship
Required CredentialsMaster's or PhD in Computer Science, Data Science, or related fields; experience with ML frameworksMaster's or PhD in Data Science, Statistics, or related fields; proficiency in programming and analytics
Work EnvironmentTech companies, startups, research labs focusing on ML projectsResearch institutions, tech firms, analytics departments
Industry UsageCommonly sponsored for roles involving ML model development and deploymentOften sponsored for roles analyzing data, building models, and deriving insights

Commission Machine Learning Visa Sponsorship and Data Scientist Visa Sponsorship share similar educational and industry requirements. However, ML sponsorship emphasizes model development and deployment, while Data Scientist sponsorship focuses on data analysis and insights. Both roles are in high demand and frequently sponsored in tech-driven industries.

What cities are hiring for Commission Machine Learning Visa Sponsorship jobs?

Cities with the most Commission 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 Commission Machine Learning Visa Sponsorship jobs?

States with the most job openings for Commission Machine Learning Visa Sponsorship jobs include:

Commission Machine Learning Visa Sponsorship jobs near you
Infographic showing various Commission Machine Learning Visa Sponsorship job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 70% Full Time, 26% Part Time, 1% Temporary, and 2% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution.

Machine Learning Engineer

Sunnyvale, CA

Institute of Foundation Models
See more jobs at Institute of Foundation Modelsexternal

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 14 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