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Machine Learning Green Card Jobs (NOW HIRING)

Sonsoft Inc

C# / Machine Learning

Redmond, WA

Machine Learning, Deep Learning/neural networks. * Data mining. * Azure ML, Cortana Intelligence ... Only US Citizen, Green Card Holder, GC-EAD, H4-EAD & L2-EAD can apply. 3. No OPT-EAD, H1B & TN ...

Xometry

Senior Machine Learning Engineer

$107K - $146K/yr

... or Green Card holder (ITAR) Company : Xometry is an online marketplace that allows customers to access a network of machine shops and custom manufacturers. Founded in 2013, the company is ...

Xometry

Senior Machine Learning Engineer

$107K - $146K/yr

... or Green Card holder (ITAR) Company : Xometry is an online marketplace that allows customers to access a network of machine shops and custom manufacturers. Founded in 2013, the company is ...

Xometry

Senior Machine Learning Engineer

North Bethesda, MD · Hybrid

$104K - $143K/yr

Xometry is seeking a Senior Machine Learning Engineer to join our growing organization. The right ... Must be a US Citizen or Green Card holder (ITAR) The estimated base salary range for new hires into ...

C the Signs

Senior Machine Learning Engineer

Boston, MA · On-site +1

$133K - $175K/yr

Position Summary The Machine Learning Engineer will be responsible for the end-to-end development ... Must be a US Citizen, Green Card holder, or currently in the US have valid H1B visa Benefits Why ...

C the Signs

Senior Machine Learning Engineer

Boston, MA · On-site +1

$133K - $175K/yr

Position Summary The Machine Learning Engineer will be responsible for the end-to-end development ... Must be a US Citizen, Green Card holder, or currently in the US have valid H1B visa Benefits Why ...

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Machine Learning Green Card information

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How much do machine learning green card jobs pay per hour?

As of Jun 7, 2026, the average hourly pay for machine learning green card in the United States is $22.82, according to ZipRecruiter salary data. Most workers in this role earn between $19.71 and $25.48 per hour, depending on experience, location, and employer.

What is the difference between Machine Learning Green Card vs Data Scientist Green Card?

AspectMachine Learning Green CardData Scientist Green Card
Required CredentialsAdvanced degrees in CS, ML certificationsDegrees in CS, statistics, or related fields
Work EnvironmentResearch labs, tech companies, AI startupsData analysis, modeling, business insights
Employer & Industry UsageAI-focused firms, tech giants, research institutionsFinance, healthcare, tech, consulting

Both roles often require similar educational backgrounds and certifications, with Machine Learning Green Card focusing more on AI and ML-specific work, while Data Scientist Green Card covers broader data analysis and modeling tasks. Employers in tech and research frequently seek candidates with these credentials, making both roles highly relevant in the industry.

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 strong background in computer science, statistics, and mathematics, typically supported by a relevant degree. Proficiency with programming languages like Python or R, familiarity with machine learning frameworks such as TensorFlow or PyTorch, and experience with data processing tools are essential. Strong problem-solving skills, communication, and adaptability help you collaborate effectively and translate business needs into technical solutions. These skills are crucial for developing robust machine learning models that drive innovation and value in dynamic environments.

What is a Machine Learning Green Card?

A 'Machine Learning Green Card' typically refers to the process through which professionals with expertise in machine learning and related fields can obtain permanent residency (a Green Card) in the United States. This often involves applying through employment-based immigration categories such as EB-2 or EB-2 NIW (National Interest Waiver), where an applicant demonstrates exceptional ability or advanced degrees in areas like artificial intelligence or data science. Applicants must show their work is of substantial merit and national importance, and that they are well-positioned to advance their field in the U.S. The process involves gathering evidence of professional achievements, employer sponsorship (in some cases), and filing the necessary forms with U.S. Citizenship and Immigration Services. Consulting with an immigration attorney is recommended to navigate the specific requirements and optimize the application.

What are the typical collaboration dynamics for a machine learning engineer working on Green Card-related projects?

Machine learning engineers in the Green Card or immigration technology sector often collaborate closely with data scientists, software developers, legal experts, and product managers. They work together to design algorithms that help automate and streamline eligibility assessments, document processing, or fraud detection. Regular communication and cross-functional meetings are common, as legal requirements and data privacy concerns must be integrated into technical solutions. This collaborative environment allows engineers to gain exposure to both technical and legal domains, enhancing their problem-solving skills and career versatility.
Infographic showing various Machine Learning Green Card job openings in the United States as of May 2026, with employment types broken down into 92% Full Time, 6% Part Time, 1% Contract, and 1% Nights. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $47,468 per year, or $22.8 per hour.
C# / Machine Learning (US Citizen, Green Card Holder, H4-EAD, GC-EAD & L2-EAD)

C# / Machine Learning (US Citizen, Green Card Holder, H4-EAD, GC-EAD & L2-EAD)

Sonsoft Inc

Redmond, WA

Full-time

Posted yesterday

Job description

Company Description

SonSoft Inc. is a USA based corporation duly organized under the laws of the Commonwealth of Georgia. SonSoft Inc is growing at a steady pace specializing in the fields of Software Development, Software Consultancy, and Information Technology Enabled Services.

Job Description
  • Should have at least 1 year of experience in below skills.
    • C#, data structures, and basic algorithms.
    • Implied: .Net and Visual Studio
    • Production coding experience.
    • Experience with Azure
    • Portal
    • Concepts and user knowledge of essential services: IaaS VM, Storage, and SQL Azure.
    • Azure SDK: programmed with at least one type of service
    • Desire to learn. Must be a quick learner.
  • Should have at least 1 year of experience in below skills.
    • AI track
    • Machine Learning, Deep Learning/neural networks
    • Data mining
    • Azure ML, Cortana Intelligence
    • Azure Data Lake
    • Cosmos
    • Analytical skills
    • Experience and desire to work in a Global delivery environment
Qualifications
  • Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
  • At least 4 years of experience within the Information Technologies.
Additional Information

Connect with me at https://www.linkedin.com/in/mir-hasham-ali/  (For Direct Clients Requirements)


** U.S. Citizens and those who are authorized to work independently in the United States are encouraged to apply. We are unable to sponsor at this time.

Note:-

  1. This is a Full-Time & Permanent job opportunity for you.
  2. Only US Citizen & Green Card Holder can apply.
  3. No OPT-EAD, GC-EAD, H4-EAD, L2-EAD, H1B & TN candidates, please.
  4. Please mention your Visa Status in your email or resume.

** All your information will be kept confidential according to EEO guidelines.

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About Sonsoft

Sourced by ZipRecruiter

Sonsoft , Inc. is a USA based corporation duly organized under the laws of the Commonwealth of Georgia. Sonsoft Inc. is growing at a steady pace specializing in the fields of Software Development, Software Consultancy and Information Technology Enabled Services.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Alpharetta, GA, US

Year founded

2007

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