You'll build the models that decide, in real time, what an ad on Connected TV or mobile is worth. They run inside a bidding system handling millions of requests per second, so small gains in accuracy turn into real revenue. This is a hybrid role in New York City with a global ad tech company that's growing its US machine learning team.
What you'll do:- Build and improve conversion and lifetime value (LTV) prediction models for real-time bidding
- Design systems that combine several estimators to set bid values in real time
- Solve hard modeling problems: extreme class imbalance, delayed attribution, noisy or incomplete labels, and cold-start users
- Build targeting and identity features from IP-based signals on CTV inventory
- Own the research cycle from hypothesis to production, including offline experiments and A/B tests
- Work with engineering, data infrastructure, and operations teams to ship models to production
- Help set technical direction alongside applied scientists and engineers in EuropeWhat you bring 7+ years in machine learning 5+ years of Python 5+ years building predictive models 3+ years of SQL and statistical analysis
- Strong experiment design and A/B testing skillsMS or PhD in ML, Statistics, Applied Math, or Computer Science preferred
Nice to have:- 3+ years in ad tech, especially CTV or real-time bidding
- Large-scale ML systems in production
- Deep learning, transformers, or sequence models
- Recommendation systems
- Scala or JavaThe details
- Hybrid, New York City, NYFull-time, direct hire
