ZipRecruiter

Log In

1

Applied Machine Learning Intern Jobs in Portland, OR

Onto

AI/ML Internship

Hillsboro, OR · On-site

The intern will work on real-world semiconductor software challenges, focusing on improving AI ... machine learning, NLP, or large language models • Familiarity with data analysis and problem ...

Onto

AI/ML Internship

Hillsboro, OR · On-site

The intern will work on real-world semiconductor software challenges, focusing on improving AI ... of machine learning, NLP, or large language models Familiarity with data analysis and problem ...

Amat

Algorithm Engineer III Senior - (E3)

Portland, OR · On-site +1

$140K - $192K/yr

Experience deploying deep learning and machine learning models Experience designing and deploying ... Applied Materials is an Equal Opportunity Employer. Qualified applicants will receive consideration ...

next page

Showing results 1-20

All JobsApplied Machine Learning Intern JobsApplied Machine Learning Intern Jobs in Portland, OR

Applied Machine Learning Intern information

See Portland, OR salary details

$27K

$45.2K

$93.3K

How much do applied machine learning intern jobs pay per year?

As of Jun 14, 2026, the average yearly pay for applied machine learning intern in Portland, OR is $45,160.00, according to ZipRecruiter salary data. Most workers in this role earn between $34,500.00 and $48,800.00 per year, depending on experience, location, and employer.

What is the difference between Applied Machine Learning Intern vs Data Science Intern?

AspectApplied Machine Learning InternData Science Intern
Required SkillsMachine learning algorithms, programming (Python, R), data analysisStatistical analysis, data visualization, programming (Python, R)
Work EnvironmentDeveloping ML models, experimenting with algorithms, deploying modelsData cleaning, analysis, reporting insights
Industry UsageTech companies, AI startups, research labsBusiness analytics, market research, finance

Applied Machine Learning Interns focus on developing and deploying machine learning models, requiring knowledge of algorithms and programming. Data Science Interns typically handle data analysis, visualization, and reporting. While both roles involve data skills, applied ML interns work more on model implementation, whereas data science interns focus on insights and data interpretation.

What are popular job titles related to Applied Machine Learning Intern jobs in Portland, OR? For Applied Machine Learning Intern jobs in Portland, OR, the most frequently searched job titles are:
What job categories do people searching Applied Machine Learning Intern jobs in Portland, OR look for? The top searched job categories for Applied Machine Learning Intern jobs in Portland, OR are:
Applied Machine Learning Intern jobs near you
AI/ML Internship

AI/ML Internship

Onto

Hillsboro, OR • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 12 days ago

Job description

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).
ONTO logo

About ONTO

Sourced by ZipRecruiter

Industry

Specialized design services

Company size

1 - 10 Employees

Headquarters location

New York, NY, US

Year founded

2021

View All ONTO Jobs

Apply