Principal Machine Learning Engineer – Wafer Fabrication
About The Position
Coherent is a global leader in lasers, engineered materials and networking components. We are a vertically integrated manufacturing company that develops innovative products for diversified applications in the industrial, optical communications, military, life sciences, semiconductor equipment, and consumer markets. Coherent provides a comprehensive career development platform within an environment that challenges employees to perform at their best, while rewarding excellence and hard-work through a competitive compensation program. It's an exciting opportunity to work for a company that offers stability, longevity and growth. Come Join Us!
Requirements
- Expertise in deep learning frameworks such as Pytorch, TensorFlow
- Expertise deep learning architectures such as CNNs, RNNs, GANs
- Expertise in ML methods such as Random Forests and Gradient Boosting
- Experience with clustering, feature engineering, and dimensionality reduction methods
- Proficiency in ML model deployment through RESTful APIs, containerization, and container orchestration
- Experience with SQL and modern data-processing or data-platform technologies.
- Familiarity with statistical methods, experimental design, regression, classification, clustering, anomaly detection, and model evaluation
- Demonstrated ability to take an analysis from problem definition through deployment, validation, and communication of results.
- Minimum 5 years of experience with AI, preferably including ML, preferably with experience in statistical analytic techniques, and 3 years experience 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
Nice To Haves
- Programming skills in Python and experience with common data-science and machine-learning libraries is a plus
- Familiarity with high-performance ML inference (CUDA, Libtorch, ONNX Runtime, C++ programming and data structures) is a strong plus
- Experience with cloud-based ML training and inference using AWS, GCP, Azure, or Databrix is a plus
- Familiarity with machine vision such as defect detection and OCR is a plus
- Familiarity with big data frameworks such as Hadoop and Spark is a plus
- Exposure to manufacturing, wafer fabrication, photonics, telecommunications is a plus
- A Master’s degree is preferred.
Responsibilities
- Develop and validate models for yield improvement, screening accuracy, and process optimization through application of model selection and hyperparameter tuning.
- Collaborate with Photonics designers and process, reliability and manufacturing engineers to align ML approaches with product objectives and to quantify cost-benefit analysis.
- Deploy AI/ML within manufacturing systems through a combination of Edge AI, API serving, Containerization, and Cloud-based training and inference
- Partner with industrial and MES software engineers to integrate AI/ML pipelines within existing production workflows
- Develop reusable data pipelines, analytical tools, dashboards, and model-monitoring methods.
- Support design of experiments, process characterization, and continuous improvement activities.
- Help establish best practices for ML, and share the practices across the site and other sites.
Benefits
- competitive compensation program
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What This Job Offers
Job Type
Full-time
Career Level
Principal
