Senior Machine Learning Engineer

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 Europe

What 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 skills
• MS 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 Java

The details

• Hybrid, New York City, NY
• Full-time, direct hire