Coherent Corp. is seeking a Principal Machine Learning Engineer for wafer fabrication to lead ML development and deployment in manufacturing. The role focuses on yield improvement, screening accuracy, and process optimization, collaborating with photonics designers and process, reliability, and manufacturing engineers to align ML initiatives with product objectives and cost-benefit analysis. You will deploy AI/ML within manufacturing systems using Edge AI, API serving, containerization, and cloud-based training and inference, and you will partner with industrial and MES software engineers to integrate ML pipelines into existing production workflows. Responsibilities include building reusable data pipelines, analytics tools, dashboards, and model monitoring methods; supporting design of experiments, process characterization, and continuous improvement; and establishing ML best practices across sites.

Qualifications: minimum 5 years of AI/ML experience, with at least 3 years in a production environment; a Bachelor's degree in Electrical Engineering, Computer Science, Physics, or related field with specialization in Data Science/AI/ML or Statistics; a Master's degree is preferred.

Required skills include: PyTorch, TensorFlow; CNN/RNN/GAN architectures; ML methods such as Random Forests and Gradient Boosting; data pro

Coherent Corp. is seeking a Principal Machine Learning Engineer for wafer fabrication to lead ML development and deployment in manufacturing. The role focuses on yield improvement, screening accuracy, and process optimization, collaborating with photonics designers and process, reliability, and manufacturing engineers to align ML initiatives with product objectives and cost-benefit analysis. You will deploy AI/ML within manufacturing systems using Edge AI, API serving, containerization, and cloud-based training and inference, and you will partner with industrial and MES software engineers to integrate ML pipelines into existing production workflows. Responsibilities include building reusable data pipelines, analytics tools, dashboards, and model monitoring methods; supporting design of experiments, process characterization, and continuous improvement; and establishing ML best practices across sites.

Qualifications: minimum 5 years of AI/ML experience, with at least 3 years in a production environment; a Bachelor's degree in Electrical Engineering, Computer Science, Physics, or related field with specialization in Data Science/AI/ML or Statistics; a Master's degree is preferred.

Required skills include: PyTorch, TensorFlow; CNN/RNN/GAN architectures; ML methods such as Random Forests and Gradient Boosting; data pro