Share
As an Applied Science Manager, you will be responsible for leading a high-performing team that consists of applied scientists and engineers. You will be instrumental in advancing our theme-aware and personalized sourcing techniques that effectively balance advertiser targeting objectives with shopper intent, ultimately driving improved demand utilization and monetization. You will drive innovation in leveraging GenAI-powered sourcing techniques to achieve deeper personalization at scale. Beyond developing and implementing new ML-based solutions, you will be responsible for consolidating and optimizing our existing sourcing pipelines to support the next generation of capabilities required to deliver on our strategic vision.
Key job responsibilities
- Drive the development of theme-aware and personalized sourcing techniques that balance advertiser targeting objectives with shopper intent
- Lead the exploration and implementation of GenAI-powered approaches to achieve deeper advertisement personalization at scale
- Oversee the consolidation and optimization of existing sourcing pipelines to support next-generation capabilities- Design and lead experiments that validate improvements and drive data-driven decisions
- Establish best practices for scientific research, experimentation, and implementation in a production environment
- 4+ years of applied research experience
- 3+ years of scientists or machine learning engineers management experience
- 3+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Knowledge of ML, NLP, Information Retrieval and Analytics
- Experience programming in Java, C++, Python or related language
These jobs might be a good fit