Machine Learning Research Engineer
Tasks
- Apply scientific rigor to evaluation
- Design architecture changes
- Design loss functions
- Ensure models improve without overfitting
- Evaluate models against baselines
- Extend foundational models for prediction
- Handle operational system failure modes
- Investigate messy real world datasets
- Optimize hardware and systems
- Own experiments end-to-end
- Run training experiments
Perks/Benefits
- N/A
Skills/Tech-stack
Data Assimilation | Data Fusion | Deep learning | Distributed Training | Gradient descent | Hardware optimization | Inverse problems | Loss Functions | Machine Learning | PyTorch | Python | Satellite data | Series modeling | Time Series | Time Series Modeling
Education
N/A
Regions
Countries
States
Cities
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