AI ML Engineer Visa Sponsorship Jobs in Oregon
Oregon's AI/ML engineering market centers on Portland's growing tech corridor, with employers like Intel, Nike, and a cluster of software and semiconductor firms actively hiring. The state's proximity to Pacific Northwest research institutions and remote-friendly hiring policies make it a viable destination for international engineers seeking visa sponsorship in AI and machine learning.
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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 Engineer Job Roles in Oregon
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Search AI ML Engineer Jobs in OregonAI ML Engineer Jobs in Oregon: Frequently Asked Questions
Which companies sponsor visas for AI ML engineers in Oregon?
Intel is one of Oregon's largest H-1B visa sponsors and regularly hires AI/ML engineers for its Hillsboro semiconductor and data operations. Nike's Beaverton headquarters sponsors engineers working on data science and machine learning applications. Smaller Portland-based technology firms and cloud services companies also file H-1B petitions for AI/ML roles, though sponsorship volume varies significantly by company size and hiring cycle.
Which visa types are most common for AI ML engineer roles in Oregon?
The H-1B is the most common visa category for AI/ML engineers in Oregon, as these roles consistently qualify as specialty occupations requiring at least a bachelor's degree in computer science, data science, or a related field. Some candidates with exceptional research records or published work pursue the O-1A. Candidates already holding an F-1 OPT or STEM OPT extension can work while an employer initiates H-1B sponsorship.
Which cities in Oregon have the most AI ML engineer sponsorship jobs?
Portland is Oregon's primary hub for AI/ML engineering sponsorship, with the city's software, data analytics, and tech services sectors generating the most petitions. The Hillsboro and Beaverton corridor in the greater Portland metro is particularly active, driven by Intel's large engineering workforce and Nike's technology teams. Eugene sees some activity tied to University of Oregon research partnerships, though at considerably lower volume than the Portland metro.
How to find ai ml engineer visa sponsorship jobs in Oregon?
Migrate Mate filters job listings specifically by visa sponsorship availability, so you can search for AI/ML engineer roles in Oregon without sorting through positions that won't support international candidates. Filtering by Oregon on Migrate Mate surfaces employers in the Portland metro, Hillsboro, and Beaverton who have actively sponsored H-1B petitions for engineering and machine learning roles, saving significant time compared to unfiltered searches.
What should AI ML engineers know about Oregon's sponsorship market before applying?
Oregon's AI/ML hiring is concentrated in a relatively small metro area, so competition for sponsored roles at major employers like Intel can be high. Oregon's public universities, including Oregon State University's strong computer science programs, create a local pipeline of candidates that international applicants compete alongside. Roles focused on semiconductor AI, supply chain optimization, and product recommendation systems tend to align well with the state's dominant industries and are more likely to attract sponsoring employers.
What is the prevailing wage for sponsored ai 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.