Senior Applied Scientist , Sponsored Products and Brands Ads Response Prediction
Core
Develop scalable machine learning and Generative AI models to predict ad response and optimize the advertising lifecycle for Sponsored Products and Brands.
Role type
Senior Applied Scientist (Machine Learning & Generative AI)
Builds
Production ML models for ad response prediction, sourcing, bidding, and widget discovery
Domain
E-commerce advertising, Machine Learning, Generative AI
Deliverable
production ML models
Required skills
Machine learning model development, neural deep learning methods, statistical analysis, A/B experimentation, large-scale data analytics, model training and deployment, Java/C++/Python programming
Preferred skills
Distributed systems (Hadoop, Spark), modeling tools (TensorFlow, PyTorch, scikit-learn, Spark MLLib, MxNet)
Technologies
TensorFlow, PyTorch, Spark, Hadoop, Java, C++, Python, R, numpy, scipy
Responsibilities
Conduct deep data analysis to identify business opportunities, develop scalable ML models, run A/B experiments, collaborate with engineers for production delivery, improve model scalability and automation, research new ML and GenAI solutions
Seniority
Senior, hands-on IC