Rainmaker Fellow, Machine Learning
Tasks
- Analyze sensitivity to missing and biased data
- Assess generalization and failure modes
- Build training and validation datasets
- Define targets and ground truth with domain experts
- Deliver final research and evaluation artifacts
- Establish reproducible baselines
- Present results to technical stakeholders
- Produce reusable code and documentation
- Quantify calibration and uncertainty
- Train evaluate and debug machine learning models
- Translate scientific questions into machine learning problems
Perks/Benefits
Skills/Tech-stack
Calibration | Computer Vision | Data Assimilation | Data Preprocessing | Debugging | Forecasting | Geospatial analysis | Machine Learning | Model Evaluation | Model Training | NumPy | Probabilistic Modeling | PyTorch | Python | Remote Sensing | Sensor fusion | Sequence Modeling | State Estimation | TensorFlow | Uncertainty Quantification
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Regions
Countries
States
Cities
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