Senior Engineer - AI/ML
Core
Design, develop, validate, and deploy machine-learning solutions to improve optical transceiver calibration quality, test time, yield, and equipment utilization.
Role type
Senior IC machine-learning engineer (optical test)
Builds
ML inference and optimization services integrated with production test software
Domain
Semiconductor manufacturing / Optical transceivers / Test automation
Deliverable
production ML models
Required skills
Python, PyTorch, scikit-learn, XGBoost/LightGBM, feature engineering, model evaluation, REST APIs, SQL, pandas, NumPy, CI/CD, Linux
Preferred skills
Bayesian optimization, reinforcement learning, MLOps, FastAPI, Docker, PostgreSQL, Elasticsearch, Airflow, MLflow, test instrumentation interfaces, optical-transceiver test parameters, statistical process control, C#, .NET, LabVIEW
Technologies
PyTorch, scikit-learn, XGBoost, LightGBM, FastAPI, Docker, PostgreSQL, Elasticsearch, Airflow, MLflow, pandas, NumPy, Parquet
Responsibilities
Build supervised-learning models for prediction, classification, regression, and anomaly detection; Develop robust data pipelines; Integrate ML services with production test software; Monitor production model performance and data drift; Analyze test data to identify bottlenecks; Mentor junior engineers; Prepare technical documentation and business-impact reporting.
Seniority
Senior, hands-on IC
