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:

• 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).