Applied Scientist
Tasks
- Build interpretable machine learning models
- Collaborate with engineering and operations on human in the loop systems
- Deploy deep neural network valuation models
- Design machine learning model improvements
- Develop risk and optimization models using real world data
- Improve feature engineering and model training pipelines
- Incorporate unstructured data into forecasting pipelines
Perks/Benefits
Skills/Tech-stack
Computer Vision | Convolutional Neural Networks | Data Processing | Deep learning | Distributed data | Distributed data processing | Experimental Design | Feature Engineering | Language Models | Language Processing | Large Language Models | Machine Learning | Model Training | Natural Language | Natural Language Processing | Neural Networks | PySpark | Python | Statistical modeling | Transformers | Vision Language Models | Vision-language
Education
Roles
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