Machine Learning Engineer
You will identify the gap between a validation score and a real one. Leakage, split design, and the distance between what a model reports about itself and what the holdout says.
- up to $160 / hr
- Remote
- Contract · flexible hours
- Engineering & ML
- Feeds SimReal-MLBench
What we are looking for
Kaggle Grandmaster or Master preferred
- Competition record — Kaggle Grandmaster or Master, or equivalent applied track record
- Leakage instinct — You find the target buried in a feature before you trust the score
- Split discipline — Time-aware, group-aware, and distribution-shift-aware validation
- Honesty — Comfort reporting that your own result did not hold
Work you might do
- Designing tasks where the obvious validation strategy is the wrong one
- Reviewing agent runs for leakage, tampered folds, and unfixed seeds
- Measuring the gap between self-reported CV and official holdout
- Building submissions that score well for the wrong reasons
How it works
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