ML Engineer Visa Sponsorship Jobs in Oregon
Oregon's ML engineer hiring is concentrated in Portland's tech corridor, with employers like Nike, Intel, and a growing cluster of AI-focused startups and cloud infrastructure companies regularly seeking machine learning talent. The state's proximity to Seattle's tech ecosystem and strong university pipelines from Oregon State and University of Oregon make it an active market for sponsored ML roles.
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Get Access To All JobsINTRODUCTION
While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth. If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!
ABOUT QUANTIPHI
Quantiphi is an award-winning Applied AI and Big Data software and services company, driven by a deep desire to solve transformational problems at the heart of businesses. Our signature approach combines groundbreaking machine-learning research with disciplined cloud and data-engineering practices to create breakthrough impact at unprecedented speed.
Company Highlights:
- Quantiphi has seen 2.5x growth YoY since its inception in 2013, we don't just innovate—we lead.
- Headquartered in Boston, with 4000+ Quantiphi professionals across the globe.
- As an Elite/Premier Partner for Google Cloud, AWS, NVIDIA, Snowflake, and others, we've been recognized with:
- 17x Google Cloud Partner of the Year awards in the last 8 years
- 3x AWS AI/ML award wins
- 3x NVIDIA Partner of the Year titles
- 2x Snowflake Partner of the Year awards
- We have also garnered Top analyst recognitions from Gartner, ISG, and Everest Group.
- We offer first-in-class industry solutions across Healthcare, Financial Services, Consumer Goods, Manufacturing, and more, powered by cutting-edge Generative AI and Agentic AI accelerators.
- We have been certified as a Great Place to Work for the third year in a row- 2021, 2022, 2023.
Be part of a trailblazing team that's shaping the future of AI, ML, and cloud innovation. Your next big opportunity starts here!
JOB OVERVIEW
We are looking for a Machine Learning Engineer with strong expertise in Google Cloud AI tools, ML model development, and end-to-end deployment. The ideal candidate will have hands-on experience with Google Cloud Document AI, Vertex AI, and Large Language Models (LLMs). You will be responsible for designing, training, evaluating, and fine-tuning ML models, integrating them with cloud-based applications, and ensuring scalable and reliable performance in production environments.
KEY RESPONSIBILITIES:
- Design, develop, train, and fine-tune machine learning models, including custom and pre-trained models on Google Cloud Vertex AI and Document AI.
- Build and manage custom Document AI processors such as Custom Document Splitter, Custom Document Classifier, and Custom Document Extractor.
- Work with pre-trained Document AI processors and customize them for business-specific document understanding tasks.
- Develop and deploy ML solutions using GCP services like Cloud Functions, Cloud Run, Firestore, Cloud SQL, Cloud Storage, and BigQuery.
- Design and implement data preprocessing pipelines for large-scale, unstructured, and semi-structured data.
- Integrate ML models into production systems via secure and scalable APIs.
- Evaluate model performance using standard ML metrics, perform model validation, and optimize for accuracy, latency, and efficiency.
- Collaborate with cross-functional teams (Data Engineers, Software Developers, and Product Teams) to ensure seamless model integration and delivery.
- Troubleshoot and debug ML pipelines, training jobs, and model deployment issues.
- Maintain proper version control of code, models, and configurations using Git/GitHub.
- Follow best practices for ML lifecycle management, testing, and documentation.
BASIC QUALIFICATIONS (ESSENTIAL):
- Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field, or equivalent practical experience.
- Proven experience with Google Cloud Document AI (Custom Workbench: Splitter, Classifier, Extractor, and pre-trained processors).
- Hands-on experience with Google Cloud Vertex AI for model training, tuning, and deployment.
- Strong understanding and practical experience with Large Language Models (LLMs) and their fine-tuning.
- Proficiency in Python and ML libraries/frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
- Experience with ML model design, training, testing, evaluation, and fine-tuning.
- Solid experience in data preprocessing and feature engineering.
- Familiarity with GCP services such as Cloud Functions, Cloud Run, Firestore, Cloud Storage, Cloud SQL, and BigQuery.
- Strong understanding of API integration for ML model deployment.
- Proficiency in troubleshooting and debugging ML-related issues.
- Experience with Git/GitHub for version control and collaboration.
OTHER QUALIFICATIONS (GOOD TO HAVE):
- Knowledge of MLOps practices for automating ML workflows, model versioning, and continuous deployment.
- Experience building and exposing ML models via FastAPI or similar frameworks.
- Familiarity with data pipeline orchestration tools (e.g., Airflow, Kubeflow).
- Understanding of security and compliance best practices in ML systems.
- Strong analytical, problem-solving, and communication skills.
WHAT IS IN IT FOR YOU:
- Be part of the fastest-growing AI-first digital transformation and engineering company in the world
- Be a leader of an energetic team of highly dynamic and talented individuals
- Exposure to working with fortune 500 companies and innovative market disruptors
- Exposure to the latest technologies related to artificial intelligence and machine learning, data and cloud
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
INTRODUCTION
While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth. If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!
ABOUT QUANTIPHI
Quantiphi is an award-winning Applied AI and Big Data software and services company, driven by a deep desire to solve transformational problems at the heart of businesses. Our signature approach combines groundbreaking machine-learning research with disciplined cloud and data-engineering practices to create breakthrough impact at unprecedented speed.
Company Highlights:
- Quantiphi has seen 2.5x growth YoY since its inception in 2013, we don't just innovate—we lead.
- Headquartered in Boston, with 4000+ Quantiphi professionals across the globe.
- As an Elite/Premier Partner for Google Cloud, AWS, NVIDIA, Snowflake, and others, we've been recognized with:
- 17x Google Cloud Partner of the Year awards in the last 8 years
- 3x AWS AI/ML award wins
- 3x NVIDIA Partner of the Year titles
- 2x Snowflake Partner of the Year awards
- We have also garnered Top analyst recognitions from Gartner, ISG, and Everest Group.
- We offer first-in-class industry solutions across Healthcare, Financial Services, Consumer Goods, Manufacturing, and more, powered by cutting-edge Generative AI and Agentic AI accelerators.
- We have been certified as a Great Place to Work for the third year in a row- 2021, 2022, 2023.
Be part of a trailblazing team that's shaping the future of AI, ML, and cloud innovation. Your next big opportunity starts here!
JOB OVERVIEW
We are looking for a Machine Learning Engineer with strong expertise in Google Cloud AI tools, ML model development, and end-to-end deployment. The ideal candidate will have hands-on experience with Google Cloud Document AI, Vertex AI, and Large Language Models (LLMs). You will be responsible for designing, training, evaluating, and fine-tuning ML models, integrating them with cloud-based applications, and ensuring scalable and reliable performance in production environments.
KEY RESPONSIBILITIES:
- Design, develop, train, and fine-tune machine learning models, including custom and pre-trained models on Google Cloud Vertex AI and Document AI.
- Build and manage custom Document AI processors such as Custom Document Splitter, Custom Document Classifier, and Custom Document Extractor.
- Work with pre-trained Document AI processors and customize them for business-specific document understanding tasks.
- Develop and deploy ML solutions using GCP services like Cloud Functions, Cloud Run, Firestore, Cloud SQL, Cloud Storage, and BigQuery.
- Design and implement data preprocessing pipelines for large-scale, unstructured, and semi-structured data.
- Integrate ML models into production systems via secure and scalable APIs.
- Evaluate model performance using standard ML metrics, perform model validation, and optimize for accuracy, latency, and efficiency.
- Collaborate with cross-functional teams (Data Engineers, Software Developers, and Product Teams) to ensure seamless model integration and delivery.
- Troubleshoot and debug ML pipelines, training jobs, and model deployment issues.
- Maintain proper version control of code, models, and configurations using Git/GitHub.
- Follow best practices for ML lifecycle management, testing, and documentation.
BASIC QUALIFICATIONS (ESSENTIAL):
- Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field, or equivalent practical experience.
- Proven experience with Google Cloud Document AI (Custom Workbench: Splitter, Classifier, Extractor, and pre-trained processors).
- Hands-on experience with Google Cloud Vertex AI for model training, tuning, and deployment.
- Strong understanding and practical experience with Large Language Models (LLMs) and their fine-tuning.
- Proficiency in Python and ML libraries/frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
- Experience with ML model design, training, testing, evaluation, and fine-tuning.
- Solid experience in data preprocessing and feature engineering.
- Familiarity with GCP services such as Cloud Functions, Cloud Run, Firestore, Cloud Storage, Cloud SQL, and BigQuery.
- Strong understanding of API integration for ML model deployment.
- Proficiency in troubleshooting and debugging ML-related issues.
- Experience with Git/GitHub for version control and collaboration.
OTHER QUALIFICATIONS (GOOD TO HAVE):
- Knowledge of MLOps practices for automating ML workflows, model versioning, and continuous deployment.
- Experience building and exposing ML models via FastAPI or similar frameworks.
- Familiarity with data pipeline orchestration tools (e.g., Airflow, Kubeflow).
- Understanding of security and compliance best practices in ML systems.
- Strong analytical, problem-solving, and communication skills.
WHAT IS IN IT FOR YOU:
- Be part of the fastest-growing AI-first digital transformation and engineering company in the world
- Be a leader of an energetic team of highly dynamic and talented individuals
- Exposure to working with fortune 500 companies and innovative market disruptors
- Exposure to the latest technologies related to artificial intelligence and machine learning, data and cloud
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
ML Engineer Job Roles in Oregon
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Search ML Engineer Jobs in OregonML Engineer Jobs in Oregon: Frequently Asked Questions
Which companies sponsor visas for ML engineers in Oregon?
Intel is one of Oregon's largest tech employers and has a documented history of H-1B visa sponsorship for machine learning and AI roles at its Hillsboro campus. Nike's technology division in Beaverton sponsors ML engineers working on demand forecasting and personalization systems. Beyond those anchors, Portland-based startups in the AI infrastructure and data analytics space also appear in federal LCA disclosure data as active sponsors.
Which visa types are most common for ML engineer roles in Oregon?
The H-1B is by far the most common visa for ML engineers in Oregon, as the role qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, statistics, or a related field. Candidates already holding an OPT or STEM OPT extension can work for a sponsoring employer while the H-1B petition is pending. O-1A visas occasionally apply for ML engineers with published research, patents, or recognized contributions to the field.
Which cities in Oregon have the most ML engineer sponsorship jobs?
Portland accounts for the clear majority of ML engineer sponsorship activity in Oregon, driven by its concentration of established tech employers and a growing startup ecosystem in the Pearl District and Lloyd District. Hillsboro, just west of Portland, is significant independently due to Intel's large campus there. Eugene and Corvallis see smaller but steady demand, often tied to university research commercialization and regional tech firms.
How to find ml engineer visa sponsorship jobs in Oregon?
Migrate Mate filters job listings specifically to roles where employers are open to visa sponsorship, which removes the manual work of screening out positions that won't consider international candidates. For ML engineer roles in Oregon, you can narrow results by state and job category to surface active openings at companies like Intel and Portland-area tech employers. Migrate Mate is built for international job seekers, so the sponsorship filter reflects actual employer intent rather than guesswork.
Are there any Oregon-specific considerations for ML engineers seeking visa sponsorship?
Oregon's prevailing wage requirements for H-1B LCA filings are set at the county level and tend to be highest in the Portland-Hillsboro-Vancouver metropolitan area, which is classified under its own wage tier. ML engineers should be aware that Intel's Hillsboro operations fall under Washington County wage determinations, not Multnomah County. Oregon State University and University of Oregon both have technology transfer programs that sometimes create pathways between academic research roles and industry-sponsored positions.
What is the prevailing wage for sponsored ml engineer jobs in Oregon?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.