Data Scientist (AI/ML)

TL;DR

Data Scientist (AI/ML): Develop predictive yield models and manufacturing data analytics using AI/ML, agentic AI, and computer vision with an accent on LLMs, multi-agent frameworks, and RAG pipelines. Focus on architecting AI agents for yield modeling, ETL pipelines, data visualization, and delivering scalable solutions for semiconductor manufacturing yield issues.

US, Arizona, Phoenix. This role will require an on-site presence.

$190,650 - $269,150

Company

hirify.global Foundry delivers cutting-edge silicon process and packaging technology for the AI era, with global manufacturing scale and focus on yield improvements in advanced packaging.

What you will do

• Develop proof-of-concepts for predictive yield models and data analytics using AI/ML, agentic AI, and computer vision.
• Architect AI agents for yield modeling and manufacturing analytics, including multi-agent coordination, RAG, deployment, and continuous improvements.
• Collaborate with yield analysts and business partners to translate manufacturing issues into scalable AI solutions.
• Build frontend/backend pipelines with Python, including ETL, data visualization (Streamlit/Flask), database integration, and APIs (FastAPI).

Requirements

• Location: US, Arizona, Phoenix with on-site presence required.
• Bachelor's +6 years, Master's +5 years, or PhD +3 years in Computer Science, Data Science, or Engineering.
• 2+ years with LLMs, autonomous AI systems (LangChain, LangGraph, AutoGen), RAG with vector DBs.
• 2+ years applying AI/ML, deep learning/computer vision (PyTorch, TensorFlow, OpenCV) to high-volume data.
• 2+ years Python for data pipelines, ETL, UI (Streamlit, Flask), databases (MySQL, PostgreSQL, MongoDB), APIs.

Nice to have

• Experience in manufacturing/semiconductor industry and AI/ML for yield problems.
• Knowledge of hirify.global package assembly manufacturing data.
• Expertise with Git and CI/CD pipelines.

Culture & Benefits

• Competitive pay, stock bonuses, health, retirement, and vacation benefits.
• Work in a worldwide factory network focused on state-of-the-art semiconductor manufacturing.
• Emphasis on communication, collaboration, and self-driven proactive approach in fast-changing environments.