Senior Machine Learning Engineer

Job Description

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.

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What you'll do

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• Build and improve conversion and lifetime value (LTV) prediction models for real-time bidding
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• Design systems that combine several estimators to set bid values in real time
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• Solve hard modeling problems: extreme class imbalance, delayed attribution, noisy or incomplete labels, and cold-start users
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• Build targeting and identity features from IP-based signals on CTV inventory
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• Own the research cycle from hypothesis to production, including offline experiments and A/B tests
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• Work with engineering, data infrastructure, and operations teams to ship models to production
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• Help set technical direction alongside applied scientists and engineers in Europe
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What you bring

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• 7+ years in machine learning
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• 5+ years of Python
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• 5+ years building predictive models
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• 3+ years of SQL and statistical analysis
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• Strong experiment design and A/B testing skills
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• MS or PhD in ML, Statistics, Applied Math, or Computer Science preferred
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Nice to have

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• 3+ years in ad tech, especially CTV or real-time bidding
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• Large-scale ML systems in production
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• Deep learning, transformers, or sequence models
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• Recommendation systems
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• Scala or Java
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The details

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