AI ML Engineering Visa Sponsorship Jobs in Oregon
Oregon's AI/ML engineering hiring is anchored in Portland, where companies like Intel, Nike, and a growing cluster of tech firms and startups actively recruit machine learning talent. The state's proximity to Seattle's tech corridor and strong university pipelines from Oregon State and University of Oregon add to its appeal for international engineers seeking visa sponsorship.
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Get Access To All JobsINTRODUCTION
Onto Innovation is a leader in process control, combining global scale with an expanded portfolio of leading-edge technologies that include: 3D metrology spanning the chip from nanometer-scale transistors to micron-level die-interconnects; macro defect inspection of wafers and packages; metal interconnect composition; factory analytics; and lithography for advanced semiconductor packaging. Our breadth of offerings across the entire semiconductor value chain helps our customers solve their most difficult yield, device performance, quality, and reliability issues. Onto Innovation strives to optimize customers’ critical path of progress by making them smarter, faster and more efficient.
JOB SUMMARY & RESPONSIBILITIES
Job Summary
MBU (Metrology Business Unit) is seeking a highly motivated AI/ML Intern to support validation and optimization of a Retrieval-Augmented Generation (RAG)-based AI system for AiD and N2K product ecosystems. The intern will work on real-world semiconductor software challenges, focusing on improving AI-driven knowledge retrieval for faster resolution of field escalations. This role offers hands-on experience with production-scale LLM systems and exposure to cross-functional engineering environments.
Key Responsibilities
- Validate performance of RAG-based LLM models using real field escalation scenarios
- Analyze and structure internal data sources including logs, knowledge base, and support documentation
- Develop and optimize retrieval pipelines including embeddings and indexing strategies
- Improve prompt engineering techniques to enhance response accuracy and relevance
- Benchmark RAG models against baseline LLM approaches
- Identify data gaps and recommend improvements for knowledge coverage
- Collaborate with software, applications, and product teams to align solutions with business needs
- Document findings and present results to stakeholders
QUALIFICATIONS
Required Qualifications
- Currently pursuing a Bachelor's or Master's degree in Computer Science, AI/ML, Data Science, or related field
- Strong programming skills in Python
- Understanding of machine learning, NLP, or large language models
- Familiarity with data analysis and problem-solving techniques
- Strong communication and documentation skills
Preferred Qualifications
- Experience with LLM frameworks (e.g., OpenAI, LangChain, Hugging Face)
- Knowledge of vector databases (e.g., FAISS, Pinecone)
- Experience with Retrieval-Augmented Generation (RAG) concepts
- Exposure to cloud platforms (Azure preferred)
- Interest in semiconductor or industrial software systems
WHY JOIN ONTO INNOVATION?
At Onto Innovation, we believe your work should matter—and so should your well-being. That’s why we offer competitive salaries and a comprehensive benefits package designed to support you and your family. From health, dental, and vision coverage to life and disability insurance, PTO, and a 401(k) with employer match, we’ve got you covered. You’ll also enjoy access to our Employee Stock Purchase Program (ESPP), wellness initiatives, and cutting-edge tools—all within a collaborative, inclusive culture where your contributions are valued and recognized.
COMPENSATION & GROWTH
- Base Salary Range: $ - $, offered in good faith and based on experience, location, and qualifications.
- Additional Rewards: Annual bonus opportunities and potential long-term incentives tied to both company and individual success.
Empowering Every Voice to Shape the Future:
Onto Innovation is committed to creating a workplace where every qualified candidate has an equal opportunity to succeed. We evaluate applicants based on skills, experience, and potential - without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, veteran status, or any other characteristic protected by law. We believe diversity of thought and background drives innovation and strengthens our team.
Important Note on Export Compliance
For certain positions requiring access to technical data, U.S. export licensing review may be necessary for applicants who are not U.S. Citizens, Permanent Residents, or other protected persons under 8 U.S.C. 1324b(a)(3).
INTRODUCTION
Onto Innovation is a leader in process control, combining global scale with an expanded portfolio of leading-edge technologies that include: 3D metrology spanning the chip from nanometer-scale transistors to micron-level die-interconnects; macro defect inspection of wafers and packages; metal interconnect composition; factory analytics; and lithography for advanced semiconductor packaging. Our breadth of offerings across the entire semiconductor value chain helps our customers solve their most difficult yield, device performance, quality, and reliability issues. Onto Innovation strives to optimize customers’ critical path of progress by making them smarter, faster and more efficient.
JOB SUMMARY & RESPONSIBILITIES
Job Summary
MBU (Metrology Business Unit) is seeking a highly motivated AI/ML Intern to support validation and optimization of a Retrieval-Augmented Generation (RAG)-based AI system for AiD and N2K product ecosystems. The intern will work on real-world semiconductor software challenges, focusing on improving AI-driven knowledge retrieval for faster resolution of field escalations. This role offers hands-on experience with production-scale LLM systems and exposure to cross-functional engineering environments.
Key Responsibilities
- Validate performance of RAG-based LLM models using real field escalation scenarios
- Analyze and structure internal data sources including logs, knowledge base, and support documentation
- Develop and optimize retrieval pipelines including embeddings and indexing strategies
- Improve prompt engineering techniques to enhance response accuracy and relevance
- Benchmark RAG models against baseline LLM approaches
- Identify data gaps and recommend improvements for knowledge coverage
- Collaborate with software, applications, and product teams to align solutions with business needs
- Document findings and present results to stakeholders
QUALIFICATIONS
Required Qualifications
- Currently pursuing a Bachelor's or Master's degree in Computer Science, AI/ML, Data Science, or related field
- Strong programming skills in Python
- Understanding of machine learning, NLP, or large language models
- Familiarity with data analysis and problem-solving techniques
- Strong communication and documentation skills
Preferred Qualifications
- Experience with LLM frameworks (e.g., OpenAI, LangChain, Hugging Face)
- Knowledge of vector databases (e.g., FAISS, Pinecone)
- Experience with Retrieval-Augmented Generation (RAG) concepts
- Exposure to cloud platforms (Azure preferred)
- Interest in semiconductor or industrial software systems
WHY JOIN ONTO INNOVATION?
At Onto Innovation, we believe your work should matter—and so should your well-being. That’s why we offer competitive salaries and a comprehensive benefits package designed to support you and your family. From health, dental, and vision coverage to life and disability insurance, PTO, and a 401(k) with employer match, we’ve got you covered. You’ll also enjoy access to our Employee Stock Purchase Program (ESPP), wellness initiatives, and cutting-edge tools—all within a collaborative, inclusive culture where your contributions are valued and recognized.
COMPENSATION & GROWTH
- Base Salary Range: $ - $, offered in good faith and based on experience, location, and qualifications.
- Additional Rewards: Annual bonus opportunities and potential long-term incentives tied to both company and individual success.
Empowering Every Voice to Shape the Future:
Onto Innovation is committed to creating a workplace where every qualified candidate has an equal opportunity to succeed. We evaluate applicants based on skills, experience, and potential - without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, veteran status, or any other characteristic protected by law. We believe diversity of thought and background drives innovation and strengthens our team.
Important Note on Export Compliance
For certain positions requiring access to technical data, U.S. export licensing review may be necessary for applicants who are not U.S. Citizens, Permanent Residents, or other protected persons under 8 U.S.C. 1324b(a)(3).
AI ML Engineering Job Roles in Oregon
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Search AI ML Engineering Jobs in OregonAI ML Engineering Jobs in Oregon: Frequently Asked Questions
Which companies sponsor visas for AI/ML engineers in Oregon?
Intel is one of Oregon's most active H-1B visa sponsors and maintains a significant presence in Hillsboro with engineering teams working on hardware-adjacent ML roles. Nike's global headquarters in Beaverton has expanded its data science and AI functions. Portland-based tech companies and smaller AI startups also sponsor, though volume and consistency vary significantly by employer size and hiring cycle.
Which visa types are most common for AI/ML engineering roles in Oregon?
The H-1B is the most common visa for AI/ML engineers in Oregon, as these roles typically qualify as specialty occupations requiring at least a bachelor's degree in computer science, data science, or a closely related field. O-1A visas are an option for engineers with demonstrated exceptional ability through published research, patents, or significant technical contributions. Some roles at universities or research institutions may also involve J-1 visa or F-1 OPT authorization.
Which cities in Oregon have the most AI/ML engineering sponsorship jobs?
Portland and the broader metro area, including Hillsboro and Beaverton, account for the large majority of AI/ML sponsorship activity in Oregon. Intel's Hillsboro campus alone drives substantial engineering hiring. Eugene has a smaller but emerging tech presence connected to the University of Oregon. Corvallis, home to Oregon State University, occasionally produces research-adjacent ML roles, though commercial sponsorship there is limited.
How to find ai ml engineering visa sponsorship jobs in Oregon?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it easier to identify AI/ML engineering roles in Oregon where employers are actively willing to sponsor. Rather than sorting through thousands of general postings, you can search directly for sponsorship-confirmed openings in the state. Focusing on companies with established H-1B filing histories in Oregon, particularly in the Portland metro, improves your chances of finding active opportunities.
Are there state-specific factors AI/ML engineers should know about Oregon sponsorship jobs?
Oregon has no state income tax, which affects total compensation comparisons but does not directly impact visa sponsorship processes. Employers must still meet Department of Labor prevailing wage requirements for the specific role and location when filing an H-1B Labor Condition Application. Oregon State University and the University of Oregon produce ML graduates who feed local pipelines, meaning some employers in the state are already familiar with sponsoring international candidates from those programs.
What is the prevailing wage for sponsored ai ml engineering 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.