KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and in 2019 we invested 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world’s leading technology providers to accelerate the delivery of tomorrow’s electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us.
The ICOS Vision Systems division focuses on the backend of the line semiconductor industry providing fully automated tools to inspect and sort, finished integrated circuit packages. For more than 15 years, ICOS has been a market leader with tray-to-tray and tray-to-tape inspection and sorting tools found in the production facilities of all major chipmakers in the world. Our market-leading technology and superior customer service requires strong talent in optics, machine control, algorithms and applications within our engineering teams. The ICOS division headquarters are in Leuven, Belgium with additional engineering and manufacturing operations in Hong Kong and Shenzhen, China.
Taking ownership of machine learning projects related to customer problems at the customer sites. Around 75% of your time you will be at customers to setup new use cases, start the labeling procedure and build the first models.
The remainder of the time you will be building models and do experiments for the use cases while support our field engineers and APPS division with the whole process flow of working with deep learning models and ML based algorithm in production environments. Ranging from BKM for labelling, training models, running and deployment a DL models up to monitoring results.
Master's Level Degree or work experience of 2 years , Bachelor's Level Degree or work experience of 3 years