Machine Learning Engineer
T4 · Engineering & machine learningApplication To do
- Sign inOnce for all rolesTo do
- Connect a profileOnce for all rolesTo do
- Verify identityOnce for all rolesTo do
- Join the waitlist for this roleTo do
Signing in, connecting a profile and verifying your identity happen once and count for every role.
About the role
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.
What you will 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
Who we are looking for
- 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
Credential
Kaggle Grandmaster or Master preferred.
Pay
Up to $160 an hour for this role. Each role shows its top hourly rate, from up to $40 for generalist review to up to $300 for portfolio managers. Your starting rate depends on your credentials; sustained quality moves you towards the top rate. Joining the waitlist is not an offer of work; rates are agreed in writing before any project starts.