Machine Learning Visa Sponsorship Jobs in Oregon
Oregon's machine learning job market is anchored by Nike's global headquarters in Beaverton, Intel's major semiconductor campus in Hillsboro, and a growing Portland tech corridor that includes companies like Daimler Trucks North America and Vacasa. Many of these employers have established H-1B visa sponsorship track records, making Oregon a realistic target for international machine learning engineers and research scientists.
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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).
Machine Learning Job Roles in Oregon
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Search Machine Learning Jobs in OregonMachine Learning Jobs in Oregon: Frequently Asked Questions
Which companies sponsor visas for machine learning roles in Oregon?
Intel is among the most active H-1B sponsors in Oregon, regularly filing for machine learning and AI engineering roles at its Hillsboro campus. Nike, headquartered in Beaverton, sponsors machine learning engineers who work on sports analytics and consumer personalization. Smaller Oregon-based tech firms and SaaS companies in Portland have also filed LCAs for machine learning positions, though sponsorship volume varies considerably by company size and hiring cycle.
Which visa types are most common for machine learning roles in Oregon?
The H-1B is the primary visa category for machine learning professionals in Oregon, as these roles consistently meet the specialty occupation standard given their degree requirements in computer science, statistics, or a directly related field. Candidates with outstanding research credentials may qualify for the O-1A. International students completing graduate programs at Oregon State University or the University of Oregon often use OPT and STEM OPT extension periods to bridge toward employer sponsorship.
Which cities in Oregon have the most machine learning sponsorship jobs?
Portland and the broader metro area, including Beaverton and Hillsboro, account for the large majority of machine learning sponsorship activity in Oregon. Hillsboro is particularly notable because Intel's semiconductor R&D operations generate consistent demand for applied ML and data science talent. Eugene has a smaller but emerging presence, partly driven by University of Oregon research affiliations. Salem and other smaller Oregon cities have minimal machine learning sponsorship activity.
How to find machine learning visa sponsorship jobs in Oregon?
Migrate Mate filters machine learning jobs specifically by sponsorship availability and state, making it straightforward to browse verified Oregon openings without sorting through roles that don't support visa candidates. You can search by job title and location to surface Intel, Nike, and Portland-area tech employers currently hiring. Because Oregon's machine learning market is concentrated in a handful of metro areas, filtering by city alongside role type gives the most targeted results.
Are there any state-specific considerations for machine learning roles in Oregon that international candidates should know?
Oregon does not impose a state income tax surcharge specific to visa holders, and Portland's tech corridor has a relatively strong university pipeline from Oregon State University's computer science and AI programs, which employers often recruit from directly. Machine learning roles in Oregon tend to cluster in semiconductor hardware ML at Intel and applied consumer analytics at Nike, so candidates with domain experience in those areas may find their profile aligns well with the state's dominant employers.
What is the prevailing wage for sponsored machine learning 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.