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.

You can get further details about the nature of this opening, and what is expected from applicants, by reading the below.

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, xhqgsiq 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