Role OverviewThe Principal Machine Learning Engineer will develop and validate models for yield improvement, screening accuracy, and process optimization. They will collaborate with designers and engineers to align ML approaches with product objectives and quantify cost-benefit analysis.
What You Will Do
The candidate will deploy AI/ML within manufacturing systems, integrate AI/ML pipelines within existing production workflows, and develop reusable data pipelines, analytical tools, and model-monitoring methods.
Why It Might Be a Fit
The ideal candidate will have expertise in deep learning frameworks, ML methods, and experience with cloud-based ML training and inference. They will also have a demonstrated ability to take an analysis from problem definition through deployment, validation, and communication of results.
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
- 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
Benefits
- Competitive compensation program
- Comprehensive career development platform
- Stability, longevity, and growth opportunities
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