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# Principal Machine Learning Engineer - Wafer Fabrication

- **Company:** Coherent, Inc.
- **Location:** Fremont, CA, United States
- **Experience:** Experienced
- **Salary:** $118,000.0 - $202,062.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Business Analytics Applications, Data Analysis, Computing Platforms, Computer Vision, Microsoft Azure, Big Data, C++ (Programming Language), Cloud Computing, Cluster Analysis, Nvidia CUDA, Computer Programming, Data Reduction, Data Structures, Apache Hadoop, Python (Programming Language), Machine Learning, Tensorflow, SQL Databases, Data Processing, Google Cloud, Feature Engineering, Pytorch, Apache Spark, Deep Learning, Model Validation, Containerization, Yield Optimization, Kubernetes, Information Technology, ONNX (Open Neural Network Exchange) Format, Xgboost, Machine Learning Operations, Restful APIs, Data Pipelines
- **Published:** September 10, 2026
- **Apply:** https://www.techcareers.com/job.asp?id=3385158808&tx=HT8478THD&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* 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
 * 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
 * Demonstrated ability to take an analysis from problem definition through deployment, validation, and communication of results.

Education & Experience

 * The Candidate will have 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 ; a Master's degree is preferred.

## Description

* 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., Depending on location, this position may be responsible for the execution and maintenance of the ISO 9000, 9001, 14001 and/or other applicable standards that may apply to the relevant roles and responsibilities within the Quality Management System and Environmental Management System.

Culture Commitment

Ensure adherence to company's values (ICARE) in all aspects of your position at Coherent Corp.


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