Visa Sponsorship Machine Learning Jobs in USA 2025

Are you a proficient Machine Learning Engineer who is in search of employment opportunities in the United States with visa sponsorship? EX2 Outcoding is currently in the process of recruiting committed individuals to join our technology team and contribute significantly to the development, deployment, and design of machine learning models and solutions. Working as a Machine Learning Engineer will provide you with the chance to contribute to initiatives that utilise sophisticated machine learning and data analytics methodologies.
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Key Points:
- Title: Visa Sponsorship Machine Learning Jobs in USA
- Company: EX2 Outcoding
- Job Position: Machine Learning Engineer
- Job Types: Full Time // Part Time
- Education: Bachelor // Diploma // Secondary which is as prescribed below
- Gender: Male / Female
- Minimum Experience : Min 1 – 3 Years of experience
- Salary: $100000 – $140000 @ annually
- Location: USA
About EX2 Outcoding:
EX2 Outcoding is a premier software development and technology company that specialises in providing innovative solutions to clients across the globe. EX2 Outcoding is providing job opportunities for skilled professionals who are interested in Machine Learning Jobs in the USA with visa sponsorship, with a concentration on cutting-edge technologies such as machine learning.For those who are enthusiastic about machine learning, data science, and the opportunity to contribute to transformative initiatives, we encourage you to investigate our job openings.
Company Overview:
EX2 Outcoding is acknowledged for its proficiency in technology innovation, artificial intelligence, and software development. Our team of professionals is enthusiastic about developing solutions that promote business growth and competitiveness. We acknowledge the contributions of international professionals and appreciate diversity. We are enthusiastic about the prospect of providing visa sponsorship to talented Machine Learning Engineers who are enthusiastic about contributing to our machine learning initiatives.
Benefits of Job:
- Legal Work Authorisation in the United States: A visa sponsorship guarantees that foreign machine learning (ML) professionals are permitted to work legally in the country.
- High Demand for ML Experts: The United States is home to a thriving AI and ML industry, which is perpetually in search of skilled professionals.
- Competitive Salary and Stock Options: In the United States, ML engineers are compensated with some of the highest compensation in the technology industry, frequently accompanied by bonuses and equity.
- H-1B & Other Work Visa Sponsorship: The immigration process is simplified by the sponsorship of numerous tech titans for H-1B, O-1, and EB visas.
- Pathway to Permanent Residency and Green Card: Employer-sponsored programs enable sponsored ML professionals to transition to permanent residency.
- Opportunity to Collaborate with Leading Technology Companies: ML engineers have the opportunity to join prominent companies such as Amazon, Tesla, Microsoft, and Google.
- Expertise in Artificial Intelligence Research and Development: The United States is a leader in AI innovation, offering ML professionals access to the most advanced technologies.
- Engage in a Tech Ecosystem That Is Growing: Top minds in Silicon Valley, Boston, New York, and other tech centres can collaborate with ML professionals.
- Opportunities for Career Advancement and Leadership: Senior, managerial, and research positions are available to machine learning specialists.
- Participation in Global AI Conferences & Events: ML engineers in the United States have the opportunity to attend prestigious AI conferences such as NeurIPS, CVPR, and ICML.
- Opportunity to Bring Family to the United States: Certain visa programs permit professionals to sponsor their spouse and children.
- Access to the Most Effective Machine Learning Courses and Training: AI and ML training programs and universities in the United States are of the highest quality.
- Real-World AI Applications: ML professionals acquire practical experience in industries such as finance, robotics, healthcare, and self-driving vehicles.
- Opportunities for Entrepreneurship and Startups: The United States provides substantial assistance to ML professionals who wish to establish their own AI-based enterprises.
- High Job Stability and Future Growth: The United States is experiencing a surge in the demand for AI and ML talent, which guarantees long-term job security.
How to Apply For Visa Sponsorship Machine Learning Jobs in USA?
We urge you to visit our careers page if you are enthusiastic about the opportunity to pursue Machine Learning Engineer opportunities in the United States with visa sponsorship and join the EX2 Outcoding team.. Examine the available job openings, identify the Machine Learning Engineer position that is compatible with your abilities, and adhere to the application guidelines. To commence the application procedure, please submit your resume, cover letter, and any necessary documents.
Conclusion:
For skilled Machine Learning Engineers who are interested in working in the United States with visa sponsorship, EX2 Outcoding provides intriguing job opportunities. We encourage you to investigate our available positions and initiate the process of a rewarding machine learning career with us if you are committed to technology innovation, data analytics, and contributing to transformative projects.
Frequently Asked Questions:
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Do Machine Learning jobs in the USA offer visa sponsorship?
Yes, many tech companies sponsor visas for skilled machine learning professionals, typically through the H-1B, O-1, or EB-2 NIW visa programs.
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What qualifications are required for a Machine Learning job in the USA?
A bachelor’s or master’s degree in computer science, AI, or a related field, experience with ML frameworks (TensorFlow, PyTorch), and strong programming skills (Python, R) are commonly required.
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What is the average salary for a Machine Learning Engineer in the USA?
Salaries typically range from $100,000 to $160,000 per year, depending on experience, location, and company.