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Machine Learning Engineer Green Card Holder Jobs

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 ...

Real Careers

Senior Cybersecurity Engineer - Tampa

Tampa, FL · Hybrid

$108K - $148K/yr

Must be a US Citizen or Green Card holder. * This position reports within the Protect squad focused ... machine learning. RESPONSIBILITIES: * Responsible for providing 4th and 5th level support for ...

Forhyre

Machine Learning Engineer

New York, NY

We are looking for a Machine Learning Engineer to help us create artificial intelligence products. Machine Learning Engineer responsibilities include creating machine learning models and retraining ...

Full Scope

Machine Learning Engineer

Reston, VA

Machine Learning Engineer Location: Fort Meade, MD Required Clearance : TS/SCI w/ Full-Scope Poly Salary: Competitive We are seeking a highly skilled and motivated Machine Learning Engineer to join ...

Xometry

Staff Software Engineer

North Bethesda, MD · Hybrid

We are looking for a Staff Software Engineer to join our core machine learning and data platform ... Must be a US Citizen or Green Card holder (ITAR). The estimated base salary range for new hires ...

Xometry

Staff Software Engineer

Waltham, MA · Hybrid

Xometry is seeking a Staff Software Engineer to join our core machine learning and data platform ... Must be a US Citizen or Green Card holder (ITAR). The estimated base salary range for new hires ...

Compunnel

Machine Learning Engineer

Plano, TX · On-site

Job Summary We are seeking a Machine Learning Engineer with strong expertise in machine learning model development, data engineering, and modern cloud-based analytics platforms. This role will focus ...

NTENT

Machine Learning Engineer

Carlsbad, CA · On-site

Machine Learning Engineer Position: Full time Location: Carlsbad office About Us: NTENT provides a Platform-as-a-Service (PaaS), allowing industry partners to customize, localize and integrate search ...

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All JobsMachine Learning Engineer Green Card Holder Jobs

Machine Learning Engineer Green Card Holder information

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$31.5K

$128.8K

$193.5K

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.

AI Engineer -- RapidCanvas

David Joseph & Company

Austin, TX • On-site, Remote

$140K - $200K/yr

Full-time

Medical, Dental, Vision

Posted 3 days ago

Job description

AI Engineer — RapidCanvas

Location: Remote (United States)
Compensation: $140,000 – $200,000 base
Visa Sponsorship: None available — US Citizen or Green Card holder required
Experience Level: 5+ years
Employment Type: Full-Time

About RapidCanvas

RapidCanvas is an enterprise AI company based in Austin, Texas, founded in 2021. The company offers a hybrid AI platform that integrates autonomous AI agents with human expertise, allowing businesses to build, deploy, and scale custom AI solutions significantly faster and at lower cost than traditional methods. The no-code platform supports full-lifecycle AI including data integration, predictive analytics, and workflow automation. Series A with $39.5M raised, serving manufacturing, retail, and financial services customers globally.

About the Role

As an AI Engineer at RapidCanvas, you will design, train, and deploy machine learning models and LLM-powered systems that power an automated machine learning platform for enterprise users. You will bridge the gap between complex data science and intuitive user experiences — owning everything from RAG pipeline architecture to production deployment and API development.

What You'll Own
  • Design, train, and optimize ML models and LLMs to solve complex predictive and generative tasks within the RapidCanvas platform
  • Architect and implement robust RAG workflows — vector database management, embedding optimization, and advanced prompt engineering
  • Deploy scalable AI services using containerization and orchestration tools, ensuring high availability and low-latency inference
  • Build and maintain automated data ingestion and preprocessing pipelines to transform raw enterprise data into high-quality training sets and feature stores
  • Establish rigorous evaluation frameworks to measure model accuracy, drift, and computational efficiency
  • Develop secure, high-performance APIs to expose AI capabilities to the frontend
Requirements
  • 5+ years of professional experience moving ML models into production environments
  • Bachelor's or Master's degree in Computer Science, Data Science, AI, or a related quantitative field
  • Proven experience implementing LLMs and RAG architectures using LangChain, LlamaIndex, OpenAI APIs, or similar
  • Advanced Python proficiency including FastAPI or Flask for model serving
  • Hands-on experience with vector databases — Pinecone, Milvus, Weaviate, or equivalent
  • MLOps experience — Docker, Kubernetes, MLflow, Airflow, or similar for full ML lifecycle management
  • Cloud platform experience — AWS, GCP, or Azure
  • Experience with SQL/NoSQL databases and large-scale data processing
  • US Citizen or Green Card holder — no visa sponsorship available
Nice to Have
  • Experience with Auto-ML or No-Code/Low-Code data science platforms
  • Proficiency with gradient-boosted trees (XGBoost, LightGBM), time-series forecasting, and deep learning frameworks
  • Experience with automated feature engineering and hyperparameter tuning (Optuna, Ray Tune)
  • Familiarity with Spark or Dask for large-scale data processing
  • Master's or PhD in Computer Science, Statistics, Mathematics, or related quantitative field
Benefits
  • Health, dental, and vision insurance
  • Outcome-oriented flexibility — focus on impact over hours logged
Interview Process
  1. First-round team interview — technical and collaborative session
  2. Technical assessment — practical skills evaluation or take-home assignment
  3. Deep-dive interview — architecture, methodologies, and project experience
  4. Cultural alignment and leadership interview with key stakeholders
Logistics
  • Role is fully remote within the United States
  • US Citizen or Green Card holder required — no visa sponsorship or relocation assistance available

Shortlisted candidates will be contacted by David Joseph & Co., the recruiting partner managing this search on behalf of RapidCanvas.