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Commission Machine Learning Visa Sponsorship Jobs

Hive

Machine Learning Engineer

San Francisco, CA

$120K - $180K/yr

Together, Hive's solutions are transforming content moderation, brand protection, sponsorship ... Company, Visa Ventures, and others. We have over 250 employees globally in our San Francisco ...

Hive

Machine Learning Engineer

Seattle, WA · On-site

$120K - $180K/yr

  • Medical

  • Dental

  • Vision

  • PTO

Together, Hive's solutions are transforming content moderation, brand protection, sponsorship ... Company, Visa Ventures, and others. We have over 250 employees globally in our San Francisco ...

Hive

Machine Learning Engineer

Seattle, WA

$120K - $180K/yr

  • Medical

  • Dental

  • Vision

  • PTO

Together, Hive's solutions are transforming content moderation, brand protection, sponsorship ... Company, Visa Ventures, and others. We have over 250 employees globally in our San Francisco ...

Hive

Machine Learning Engineer

San Francisco, CA · On-site

$120K - $180K/yr

Together, Hive's solutions are transforming content moderation, brand protection, sponsorship ... Company, Visa Ventures, and others. We have over 250 employees globally in our San Francisco ...

USAA

AI & Machine Learning Engineer

San Antonio, TX · On-site +1

$103K - $197K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Opportunity The Artificial Intelligence and Machine Learning Engineer will be part of a ... USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any ...

USAA

AI & Machine Learning Engineer

San Antonio, TX · On-site

$103K - $197K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Opportunity The Artificial Intelligence and Machine Learning Engineer will be part of a ... USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any ...

Visa

Machine Learning Engineer- Senior Consultant Level

Austin, TX · On-site

$173K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges ... As a Machine Learning Engineer at the Senior Consultant/Senior Manager level, you will design and ...

Escalon

Machine Learning Engineer

Santa Monica, CA · On-site

$100K - $120K/yr

  • Medical

  • PTO

The Role Our client is seeking a Machine Learning Engineer to help design and implement intelligent ... Visa sponsorship is not available for this role at this time. * Candidates must reside within a ...

Care.coach

Lead Machine Learning Engineer

Millbrae, CA · On-site

$119K - $156K/yr

... machine learning applications for practical use * 2+ years in an agile software development ... Full-time regularW2 employment with benefits. (no C2C; no 1099; no visa sponsorship) Compensation:

Care.coach

Lead Machine Learning Engineer

Millbrae, CA · On-site +1

$119K - $156K/yr

... machine learning applications for practical use * 2+ years in an agile software development ... 1099; no visa sponsorship) Compensation: Competitive depending on qualifications Company ...

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All JobsMachine Learning Visa Sponsorship JobsCommission Machine Learning Visa Sponsorship Jobs

Commission Machine Learning Visa Sponsorship information

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 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 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 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 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 - World Model

Institute of Foundation Models

Sunnyvale, CA • On-site

$150K - $450K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

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 Team
We are the AllWorld Team under the Institute of Foundation Model (IFM) at MBZUAI. At AllWorld, we are pioneering the development of the PAN (Physical, Agentic, and Networked) world models-the next-generation foundation models to unlock machine intelligence beyond lingual.
Our mission is to tackle the fundamental challenges of world modeling and establish a new paradigm for next-generation machine reasoning. We are looking for passionate individuals who share our vision and are eager to push the boundaries of AI together.
Role Overview
  • We're looking for a Machine Learning Engineer focused on ML infrastructure and MLOps to design and operate the systems that power our research environment. You'll build scalable, reliable, and observable cloud infrastructure, working closely with researchers to support data pipelines, experimentation, and evaluation workflows.

  • This role balances fast-moving research needs with production-grade systems, ensuring that experimental work can scale reliably when needed.

Key Responsibilities
  • Design, build, and operate scalable ML infrastructure on AWS (e.g., compute, storage, networking, access control).

  • Develop and maintain MLOps workflows for data versioning

  • Build and manage distributed systems for large-scale data processing (filtering, captioning, etc.) and model evaluation.

  • Own architecture decisions for ML infrastructure and drive best practices in reliability, scalability, and cost efficiency.

  • Implement observability across systems, including monitoring, logging, and alerting.

  • Integrate OpenWebUI, Gradio, or similar UIs for data quality assurance

  • Build and maintain dashboards for experiment tracking and system health.

  • Partner closely with researchers to translate experimental workflows into robust, scalable systems.

Qualifications
Must-Haves
  • 3+ years of experience in MLOps, ML infrastructure, or related backend/platform engineering roles.

  • Strong experience with cloud platforms (preferably AWS) and core services for compute, storage, and access control.

  • Experience designing and operating distributed systems (e.g., Kubernetes, Ray, or similar frameworks).

  • Solid software engineering skills, including system design, debugging, and testing (Python, Docker, Git).

  • Familiarity with data processing and pipeline orchestration tools (e.g., Spark, Kafka, or similar).

  • Experience with observability practices (monitoring, logging, alerting).

  • Ability to work closely with researchers and translate ambiguous requirements into production-ready systems.

Nice-to-Haves
  • Experience in fast-paced or research-driven environments.

  • Experience with large-scale video or multimodal data pipelines.

  • Experience building automated model evaluation or benchmarking systems.

  • Knowledge of cost optimization, security, and networking in multi-tenant environments.

  • Familiarity with modern developer and AI-assisted coding (e.g., Codex, Cursor, Claude Code)

$150,000 - $450,000 a year
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

Apply