Machine Learning Engineer – AI for Semiconductor Yield

About the role

Inference Technologies builds AI systems that boost semiconductor yield, reliability and manufacturing decisions. As a Machine Learning Engineer you will design and deploy predictive models and end‑to‑end data pipelines that turn complex manufacturing data into actionable insights.

Key responsibilities

• Develop predictive models for yield, reliability and defect analysis.
• Build and maintain end‑to‑end machine‑learning and data pipelines.
• Create ML solutions for heterogeneous manufacturing data, including tabular and image sources.
• Implement production MLOps practices and drift management.
• Integrate models in real‑time automated workflows.

Required profile

• Strong Python programming skills.
• Solid experience in machine‑learning model development and data pipelines.
• Proficiency with Linux environments.
• Curiosity and drive to solve challenging engineering problems.

Required skills

• Python
• Machine Learning
• Data pipelines
• Linux

What we offer

• Opportunity to build real industrial ML deployed in semiconductor fabs.
• Small team with high technical ownership.
• Modern bare‑metal and cloud ML infrastructure.
• Hybrid work model with flexible schedule.
• Support for learning, publishing and conference attendance.
• Competitive compensation.