Contractor

• Posted 3 hours ago • Updated 3 hours ago
Full Time
On-site
Fitment

Dice Job Match Score™

🛠️ Calibrating flux capacitors...

Job Details

Skills

  • Process Control
  • 3D Computer Graphics
  • Integrated Circuit
  • Macros
  • Inspection
  • Analytics
  • Lithography
  • Metrology
  • Optimization
  • Knowledge Base
  • Prompt Engineering
  • Collaboration
  • Computer Science
  • Artificial Intelligence
  • Data Science
  • Python
  • Machine Learning (ML)
  • Natural Language Processing
  • Large Language Models (LLMs)
  • Data Analysis
  • Problem Solving
  • Conflict Resolution
  • Communication
  • Documentation
  • LangChain
  • Vector Databases
  • Cloud Computing
  • Microsoft Azure
  • Semiconductors
  • Insurance
  • Value Engineering
  • Law
  • Innovation
  • Regulatory Compliance
  • Licensing

Summary

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).
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 90922487
  • Position Id: 24368738
  • Posted 3 hours ago
Create job alert
Set job alertNever miss an opportunity! Create an alert based on the job you applied for.

Similar Jobs

Portland, Oregon

23d ago

Full-time

Camas, Washington

Today

Full-time

Compensation information provided in the description

Camas, Washington

Today

Full-time

Compensation information provided in the description

Camas, Washington

Today

Full-time

Compensation information provided in the description

Search all similar jobs