Probability calibration implementation and validation
Imbalanced classification evaluation metrics
ICEYE is seeking a Senior ML Engineer specializing in Risk Modeling to enhance its satellite-derived observation capabilities through robust machine learning models. The ideal candidate will possess extensive experience in model training, calibration, and optimization, working collaboratively in a hybrid environment
Job Summary
ICEYE is seeking a Senior ML Engineer to own the training and calibration infrastructure for satellite-derived risk models that are statistically meaningful and externally defensible.
The role requires scaling existing research prototypes into production pipelines capable of scoring across millions of properties while ensuring reproducibility and rigorous validation.
Candidates will work in a hybrid environment alongside scientists and analytics leads to deliver calibrated outputs that withstand external scrutiny for defense and commercial applications.
Matching Summary
Match Score: 85
ICEYE is seeking a Senior ML Engineer specializing in Risk Modeling to enhance its satellite-derived observation capabilities through robust machine learning models. The ideal candidate will possess extensive experience in model training, calibration, and optimization, working collaboratively in a hybrid environment.
Skills & Requirements
Must-have
5+ years professional ML production experience
Probability calibration implementation and validation
Imbalanced classification evaluation metrics
Systematic hyperparameter optimization at scale
Experiment tracking and model versioning workflows
Python with pandas NumPy scikit-learn libraries
AWS cloud compute with GPU instances
Nice-to-have
Spatial cross-validation techniques
Uncertainty quantification methods
HPC experience with LUMI or SLURM clusters
Insurance or catastrophe modeling domain knowledge
Tabular deep learning baselines like TabNet
Databricks ML Runtime or PostGIS experience
Agile CI/CD production monitoring experience
Key Requirements
Master's degree in computer science, statistics, or related field
5+ years industry experience training ML models in production
Strong grasp of evaluation for imbalanced classification
Work Rights
Employment subject to applicable security screening (incl. SUPO)