Senior Software Machine Learning Engineer (Teradyne, North Reading, MA)
Tasks
- Build training pipelines
- Create reward models
- Design ML model architectures
- Design time series ML approaches
- Develop computer vision defect detection
- Develop model evaluation frameworks
- Develop reinforcement learning methods
- Drive applied ML research to production
- Fine-tune large language models
- Implement model deployment
- Lead ML technical design reviews
- Lead end to end production ML development
- Mentor junior ML engineers
- Monitor model performance in production
- Optimize adaptive testing models
- Own ML system technical direction
Perks/Benefits
- N/A
Skills/Tech-stack
Actor-critic | Computer Vision | Data Ingestion | Deep learning | Distributed Systems | Edge AI | Edge Devices | Feature Engineering | Language Models | Large Language Models | MLOps | Machine Learning | Model Deployment | Model Evaluation | Model Monitoring | ONNX | Policy Gradient | Policy Optimization | Proximal Policy Optimization | Python | Quantization | Reinforcement Learning | Reward Modeling | Risk quantification | STDF | Series analysis | TEMS | Time Series | Time Series Analysis | Wafer Maps
Education
N/A
Regions
Countries
States
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