Onto Innovation Inc.
You’ll partner closely with our AI Lead Engineer and collaborate with field/service engineers who support our **inspection & metrology** tools across fabs.
**Goal:** Build practical AI helpers that speed up tasks from **recipe setup** and **troubleshooting** to **fleet management analytics** and **expert guidance** from internal knowledge.·
BS in CS/EE/CE/ME (or equivalent experience).·
**Python** proficiency (data wrangling, APIs, packaging); comfort on **Linux** and with Git.Familiarity with **RAG** and prompt engineering; can measure quality (groundedness/relevance) and reduce hallucinations.·
Basic backend skills (REST/JSON, auth, environment secrets); experience containerizing with **Docker**.Experience parsing complex docs (e.g., **Unstructured**, **GROBID**) and handling images/figures from manuals.Exposure to **semiconductor equipment** or factory systems (SECS/GEM, EDA/Interface A, MES, SPC); familiarity with **KLA/AMAT/TEL/ASML** tool ecosystems.·
Model adaptation experience (**LoRA/QLoRA**, PEFT) and experiment tracking (MLflow/W&B).·
LLM observability/evals (Ragas, TruLens, LangSmith), basic security/PII handling, and role-based access.·
Cloud familiarity (AWS/Azure/GCP) and lightweight front-ends (React/Next.js) for internal tools.Ship a **search+chat knowledge assistant** over our internal docs with clear eval dashboards for faithfulness/relevance. #J-18808-Ljbffr
**Goal:** Build practical AI helpers that speed up tasks from **recipe setup** and **troubleshooting** to **fleet management analytics** and **expert guidance** from internal knowledge.·
BS in CS/EE/CE/ME (or equivalent experience).·
**Python** proficiency (data wrangling, APIs, packaging); comfort on **Linux** and with Git.Familiarity with **RAG** and prompt engineering; can measure quality (groundedness/relevance) and reduce hallucinations.·
Basic backend skills (REST/JSON, auth, environment secrets); experience containerizing with **Docker**.Experience parsing complex docs (e.g., **Unstructured**, **GROBID**) and handling images/figures from manuals.Exposure to **semiconductor equipment** or factory systems (SECS/GEM, EDA/Interface A, MES, SPC); familiarity with **KLA/AMAT/TEL/ASML** tool ecosystems.·
Model adaptation experience (**LoRA/QLoRA**, PEFT) and experiment tracking (MLflow/W&B).·
LLM observability/evals (Ragas, TruLens, LangSmith), basic security/PII handling, and role-based access.·
Cloud familiarity (AWS/Azure/GCP) and lightweight front-ends (React/Next.js) for internal tools.Ship a **search+chat knowledge assistant** over our internal docs with clear eval dashboards for faithfulness/relevance. #J-18808-Ljbffr