About the job
Our team within the CreativeX organization drives engaging user experiences through content and interactivity enrichment, enabling advertisers to reach target audiences at scale. We are looking for a passionate, talented, and resourceful Senior Applied Scientist in the field of Personalization and Recommender Systems to invent and build scalable solutions for more engaging and customized ads for brands of all sizes across the marketing funnel.
Responsibilities
The scientist will lead research and development for streaming TV dynamic creative optimization and content personalization to drive measurable improvements in user engagement and advertising performance. Partner with cross-functional engineering, product, and business teams to execute our product vision, design and implement scalable machine learning solutions that leverage generative AI capabilities, drive innovation in AI-powered content optimization and audience engagement, and demonstrate strong technical leadership, stakeholder management, and project execution skills.
Qualifications
Minimum
3+ years of building machine learning models for business application experience
PhD, or Master's degree and 6+ years of applied research experience
Experience programming in Java, C++, Python or related language
Experience with neural deep learning methods and machine learning
Preferred
Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
Experience with large scale distributed systems such as Hadoop, Spark etc.
Experience in A/B testing
Experience in professional software development
Experience with written and verbal communication and presentation