Algorithm Developer

What you'll do

• Develop and evaluate machine learning algorithms using complex time-series sensor data from semi equipment.
• Perform comprehensive analysis for algorithmic modules, including problem analysis and literature review.
• Create executable data science solutions to provide unique insights to engineering teams.
• Work with software engineers to develop data pipelines that integrate with internal platforms.
• Troubleshoot and optimize algorithm performance in modeling pipelines.
• Document the development process and guide implementation of algorithmic modules.
• Serve as a technical tutor, instructing other developers on algorithmic module details.

What we're looking for

• Master’s degree with at least 6 years of experience in hardware-oriented analytics.
• Strong knowledge of machine learning and deep learning techniques for data analysis.
• Experience in extracting, cleaning, processing, and visualizing large datasets from sensors.
• Excellent programming skills in Python, data science packages, React, and SQL.
• Ability to develop and fine-tune algorithms for complex time-series sensor data.
• PhD with 3+ years of experience in time-series data analysis of machinery tools preferred.
• Experience in semiconductor industry with hardware or process engineering background.