Senior ML Engineer
Remote, Worldwide · Engineering
Build ranking and propensity models on campaign, creative, and player-outcome data.
About the role
LeadNova needs models that predict what is worth spending on and which players are worth retaining. This role owns training, features, and offline/online evaluation for those scores — separate from the agent orchestration the AI engineers ship.
What you will do
- Train and maintain ranking, propensity, and value models on campaign, creative, and CRM outcomes.
- Define features from spend, creative tags, deposits, activity, and contribution after cost.
- Run offline evaluation and holdout tests before a score reaches production.
- Work with backend to serve scores with versioning, freshness, and fallbacks.
- Explain lifts and failures to product and operators in the numbers they already use.
What you bring
- Several years shipping supervised ML in production (ranking, propensity, or similar).
- Comfort with feature pipelines, leakage, calibration, and experiment design.
- Ability to work from incomplete marketing and CRM tables without inventing labels.
- Clear written English. Remote-first collaboration.
- Ads, iGaming, or high-volume marketplace data is useful. Not required.