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Machine Learning Engineer Green Card Holder Jobs

Xometry

Senior Machine Learning Engineer

North Bethesda, MD · On-site

$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 ...

AeroVironment

Machine Learning Engineer II

Centreville, VA · On-site

$102K - $144K/yr

Worker Type Regular Summary The Machine Learning Engineer II will be a member of the Learning and ... S. lawful permanent resident (green card holder), or protected individual such as a refugee or ...

Turion Space

Machine Learning Engineer

Irvine, CA

As a Machine Learning Integration Engineer, you will help rapidly prototype, mature, and monitor ML ... S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. § 1157, or ...

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Machine Learning Engineer Green Card Holder information

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How much do machine learning engineer green card holder jobs pay per year?

As of Jun 7, 2026, the average yearly pay for machine learning engineer green card holder in the United States is $128,769.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,500.00 and $155,000.00 per year, depending on experience, location, and employer.

What is a Machine Learning Engineer Green Card Holder?

A Machine Learning Engineer Green Card Holder is a professional specializing in designing, building, and deploying machine learning models and systems, who also holds a U.S. Permanent Resident Card (Green Card). This means the individual is authorized to live and work permanently in the United States. Machine Learning Engineers typically work with large datasets, develop algorithms, and collaborate with data scientists and software engineers to integrate machine learning solutions into products or services. Having a Green Card can make it easier to find employment, as employers do not need to sponsor work visas for these professionals. The combination of advanced technical skills and permanent work authorization is highly valued in the tech industry.

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

AspectMachine Learning Engineer Green Card HolderData Scientist Green Card Holder
CredentialsBachelor's or Master's in CS, ML certificationsBachelor's or Master's in CS, Statistics, Data Analysis certifications
Work EnvironmentDevelops ML models, algorithms, software systemsAnalyzes data, builds models, interprets results
Industry UsageTech companies, AI startups, R&D labsFinance, healthcare, marketing, tech firms

While both roles require strong technical skills and similar educational backgrounds, Machine Learning Engineers focus on developing and deploying ML models, whereas Data Scientists analyze data to extract insights. Both roles are in high demand and often overlap, but their core responsibilities differ slightly based on their focus areas.

How do Machine Learning Engineers who are Green Card holders typically collaborate with cross-functional teams in the workplace?

Machine Learning Engineers, including those who are Green Card holders, often work closely with data scientists, software engineers, and product managers to develop and deploy machine learning models. They participate in regular team meetings, contribute to code reviews, and ensure that models align with business objectives and technical requirements. Collaboration may involve explaining complex algorithms to non-technical stakeholders and adapting solutions based on feedback from different departments. This team-oriented environment helps ensure that machine learning solutions are robust, scalable, and meet organizational goals.

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, supported by relevant degrees and experience in designing machine learning models. Familiarity with programming languages such as Python, TensorFlow, PyTorch, and experience with cloud platforms are typically required, along with certifications like AWS Certified Machine Learning or Google Professional ML Engineer. Strong problem-solving skills, effective communication, and the ability to work collaboratively make candidates stand out in this role. These skills and qualities are essential for developing robust, scalable AI solutions that address complex business challenges.
Infographic showing various Machine Learning Engineer Green Card Holder job openings in the United States as of May 2026, with employment types broken down into 33% Full Time, 52% Part Time, 5% Temporary, and 10% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $128,769 per year, or $61.9 per hour.
Jr - Mid Level Machine Learning Engineer

Jr - Mid Level Machine Learning Engineer

Adidev Technologies Inc

Edison, NJ • On-site

Full-time

Posted 29 days ago

Job description

Role: Machine Learning Engineer
(This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.)
Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced machine learning models, with a special emphasis on Generative AI. In this role, you will craft and refine AI-driven solutions, turning innovative ideas into value-adding features and services, thereby solidifying our market leadership and technological forefront for our premier client.
About Adidev Technologies Inc.
Adidev Technologies,(www.adidevtechnologies.com) is a premier IT consulting firm delivering top-notch, Machine Learning Engineer, iOS and Android, data scientist, Developer solutions to industry giants including Delta, Google, Apple, Spotify, US Bank, FedEx, and more. We're not just a software consulting company - we're a dynamic force shaping the future of technology. Partnering with industry giants, we consistently deliver groundbreaking solutions that redefine the digital landscape. As we continue to expand our footprint, we're on the hunt for exceptional individuals who can bring their technical prowess to our team and elevate our projects to new levels of innovation.
Expertise: We excel in IT consultative services and quality engineer development, with Good years of experience.
Global Presence: Our diverse employee workforce spans four continents.
Proven Track Record: Hundreds of Fortune 1000 and innovative startup clients with thousands of successful projects across the USA.
How We'll Guide You
Teaching and Development: We are dedicated to nurturing your growth and development, shaping you into an exceptional consultant capable of delivering top-tier solutions to our end clients.
Custom Support: An array of teams, from Development Managers to Tech Subject Matter Experts, are dedicated to your success.
Project Placement: A market-expertise team ensures you secure and thrive in projects with our esteemed clients.
Career Growth: We facilitate industry experience to propel your technical journey forward.
Key Responsibilities:
• Architect and refine sophisticated ML models and algorithms, translating complex datasets into actionable solutions.
• Engage in the full lifecycle of data modeling projects, from understanding business requirements to deployment and monitoring.
• Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions.
• Lead cross-functional collaborations to integrate Generative AI models into our offerings, enhancing product capabilities and user experiences.
• Apply advanced analytical techniques to analyze vast datasets, identifying trends, anomalies, and opportunities for improvement.
• Execute data preprocessing, feature engineering, and algorithm optimization to enhance model accuracy and efficiency.
• Conduct exploratory data analysis to extract valuable insights and influence strategic decisions.
• Keep abreast of and implement the latest ML trends, tools, and best practices, including AutoML, MLOps, and interpretability frameworks.
• Promote compliance with industry standards and regulatory requirements, emphasizing ethical AI practices.
Requirements:
• Degree in Computer Science, Engineering, Statistics, or a related technical field.
• Demonstrable experience in machine learning, deep learning, NLP, computer vision, reinforcement learning, and/or other AI domains.
• Demonstrable experience with Generative AI models and frameworks, such as GANs or Transformers, applied in industry settings.
• Practical experience with SQL/NoSQL databases, data visualization tools, and version control systems.
• Strong foundational understanding of algorithmic complexity and data structure optimization.
• Excellent problem-solving, collaboration, and communication abilities.
• Develop and implement cutting-edge machine learning models, with a particular focus on Generative AI applications such as text generation, image synthesis, and creative AI.
• Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions.
• Stay ahead of AI research, especially in Generative AI, applying the latest findings and techniques to drive innovation within our projects.
• Proficiency in Python and ML libraries (TensorFlow, PyTorch, scikit-learn).
• Strong background in cloud computing and big data platforms (AWS, Azure, GCP), with hands-on experience in cloud-based ML services and serverless architectures.
• Familiarity with DevOps for AI, including containerization (Docker, Kubernetes), CI/CD pipelines, and MLOps practices.
• Facilitate knowledge sharing and best practices in AI/ML, particularly focusing on Generative AI, within the team.
• Ensure all AI implementations are compliant with ethical guidelines and data privacy standards.
How to Apply:
Interested candidates are invited to submit a comprehensive application, including a latest updated resume and a detailed cover letter, showcasing your expertise.
Perks and Beyond!
Competitive salary range: Based on experience and market value
Pack your bags! Paid relocation is on us.
Support, even from afar, with our remote assistance.
Regular salary reviews? You betcha!
Ready to Embark?
We invite you to take this extraordinary step with us. Showcase your journey in pushing the limits of mobile engineering by submitting your resume and a curated selection of your most influential projects. At Adidev Technologies, we're dedicated to shaping your success. Join us to craft a future powered by innovation and growth.
Note: Adidev Technologies Inc. is a staunch advocate of diversity and equal opportunity. We warmly welcome applications from candidates of all backgrounds, experiences, and walks of life. Your unique perspective could be the catalyst for our next revolutionary breakthrough

Apply