Senior Software Machine Learning Engineer (Teradyne, North Reading, MA)
Tasks
- Build reliable scalable production machine learning systems
- Conduct technical design reviews for machine learning architecture
- Define modeling standards and engineering bar
- Design novel machine learning approaches for semiconductor test data
- Develop model evaluation frameworks and validation methodologies
- Drive applied research and model innovation
- Implement model deployment and production monitoring
- Lead production machine learning system development
- Mentor and develop junior machine learning engineers
- Own end to end machine learning system excellence
- Partner with customers to translate debug workflows into ML solutions
Perks/Benefits
- Dental insurance
- Flexible spending accounts
- Life and disability insurance
- Medical insurance
- Paid vacation and holidays
- Retirement savings plan
- Tuition assistance
- Vision insurance
Skills/Tech-stack
Actor-critic | Computer Vision | Computer Vision Defect Detection | Data Ingestion | Defect Detection | Distributed Systems | Evaluation | Feature Engineering | Fine Tuning | Language Models | Large Language Models | MLOps | Machine Learning | Model Deployment | Model Monitoring | ONNX | Policy Optimization | Policy gradients | Proximal Policy Optimization | Python | Quantization | Reinforcement Learning | Reward Models | Series analysis | Time Series | Time Series Analysis | Training pipelines | Validation
Education
N/A
Regions
Countries
States
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