Applied ML Scientist - Active Learning
Tasks
- Adopt emerging ML methods for optimization
- Collaborate on optimization problem framing
- Communicate methods and results
- Deploy and monitor optimization systems
- Design sequential experiment campaigns
- Drive closed loop optimization
- Lead optimization and active learning campaigns
- Select and maintain surrogate models
Perks/Benefits
- N/A
Skills/Tech-stack
Acquisition Functions | Active Learning | Bayesian optimization | Closed Loop | Closed-loop optimization | Experimental Design | Gaussian Processes | LLM | Loop Optimization | MLOps | Machine Learning | Model Deployment | Python | Surrogate models | Uncertainty Quantification
Education
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