Senior ML Engineer, Wafer Fabrication

Coherent Corp.; Fremont (CA); On-site; USD 140,000 - 190,000; Full time

Job summary

Coherent Corp. in Fremont, CA is seeking an experienced AI/ML engineer to develop and validate models for yield improvement, screening accuracy, and process optimization in manufacturing environments.

You will collaborate with Photonics designers, process, reliability and manufacturing engineers to align ML approaches with product objectives and quantify cost-benefit analyses. The role covers deploying AI/ML within manufacturing systems through edge AI, API serving, containerization, and

Qualifications

• Minimum 5 years of AI/ML experience, including statistical techniques, and 3 years in a production environment.
• Bachelor’s degree in EE/CS/Physics or related field; Master’s preferred.

Responsibilities

• Develop and validate models for yield improvement, screening accuracy, and process optimization.
• Collaborate with Photonics designers and engineers to align ML with product objectives and quantify cost-benefit analyses.
• Deploy AI/ML within manufacturing systems via Edge AI, API serving, containerization, and cloud-based training/inference.
• Partner with MES software engineers to integrate ML pipelines within 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 ML best practices across sites.

Skills

Deep learning frameworks

CNNs/RNNs/GANs

ML methods: Random Forests/GB

Feature engineering

RESTful APIs/Containerization

SQL/Data processing

CUDA/ONNX Runtime

Cloud platforms (AWS/GCP/Azure)

Education

Bachelor’s degree in EE/CS/Physics

Master’s degree preferred

Tools

RESTful APIs

Containerization

Container orchestration

SQL

Cloud platforms (AWS/GCP/Azure)

CUDA

ONNX Runtime

Job description

Coherent Corp. in Fremont, CA is seeking an experienced AI/ML engineer to develop and validate models for yield improvement, screening accuracy, and process optimization in manufacturing environments.

You will collaborate with Photonics designers, process, reliability and manufacturing engineers to align ML approaches with product objectives and quantify cost-benefit analyses. The role covers deploying AI/ML within manufacturing systems through edge AI, API serving, containerization, and