AI Product Engineer Visa Sponsorship Jobs in Oregon
Oregon's AI product engineer jobs are concentrated in Portland's growing tech corridor, with employers like Intel, Nike, and a wave of well-funded AI startups actively hiring. The state's proximity to Seattle's tech ecosystem and strong university pipelines from Oregon State and University of Oregon make it a competitive but accessible market for international candidates seeking visa sponsorship.
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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!
AI Product Engineer Job Roles in Oregon
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Search AI Product Engineer Jobs in OregonAI Product Engineer Jobs in Oregon: Frequently Asked Questions
Which companies in Oregon sponsor visas for AI product engineers?
Intel is one of Oregon's most consistent H-1B visa sponsors, with large engineering operations in Hillsboro. Nike's technology division in Beaverton, Daimler Trucks North America, and a growing cluster of Portland-based AI startups also file sponsorship petitions for product engineering roles. Established tech firms with Oregon offices tend to have dedicated immigration support infrastructure, making them more reliable sponsorship options than early-stage companies.
What visa types are most common for AI product engineer roles in Oregon?
The H-1B is the most common visa for AI product engineer positions in Oregon, as the role typically qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, AI, or a related field. Candidates already holding an L-1B intracompany transfer visa or an O-1A for individuals with extraordinary ability may also find pathways through Oregon employers. Australians may qualify for the E-3 visa, which has no lottery.
Which cities in Oregon have the most AI product engineer sponsorship jobs?
Portland is by far the primary hub for AI product engineer sponsorship activity in Oregon, driven by its concentration of tech companies, agency offices, and AI-focused startups. Hillsboro, home to Intel's largest U.S. campus, accounts for a significant share of engineering sponsorship petitions in the state. Beaverton and Corvallis, where Oregon State University's research activity supports industry partnerships, also generate sponsorship opportunities for product and AI engineering roles.
How to find ai product engineer visa sponsorship jobs in Oregon?
Migrate Mate filters job listings specifically to roles where employers have a documented history of visa sponsorship, making it more targeted than general job searches for AI product engineer positions in Oregon. You can browse current openings filtered to Oregon and search by role to surface companies actively hiring international candidates. Pairing Migrate Mate with outreach to Oregon employers who have filed H-1B Labor Condition Applications historically gives you the clearest picture of where sponsorship is realistic.
Are there any Oregon-specific considerations for AI product engineers seeking visa sponsorship?
Oregon's prevailing wage requirements for H-1B petitions are set by the Department of Labor and reflect Portland metro and Hillsboro market rates, which are high relative to national averages given the influence of Intel and major tech employers in the region. Oregon State University and University of Oregon produce a steady pipeline of AI and computer science graduates, meaning some employers are accustomed to sponsoring OPT and CPT students who later transition to H-1B status. Oregon has no state income tax exemption relevant to visa holders, but its concentration of semiconductor and AI-adjacent industries supports strong long-term sponsorship patterns.
What is the prevailing wage for sponsored ai product 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.