Applied Scientist II, US Prime and Marketing Tech
Core
Build intelligent marketing campaigns and cross-category merchandising services using machine learning to help customers discover products.
Role type
Applied Scientist (Marketing Tech & Product Recommendation)
Builds
Automated services for generating, targeting, and optimizing marketing campaigns and product recommendations.
Domain
E-commerce, Marketing Technology, Machine Learning
Deliverable
production ML models
Required skills
Algorithm design, numerical optimization, data mining, parallel/distributed computing, high-performance computing, Java/C++/Python programming
Preferred skills
Generative deep learning (CNNs, GANs, VAEs, NF), GenAI workflow integration, synthetic data generation
Technologies
Java, C++, Python, Generative AI, GenAI
Responsibilities
Design and deploy scalable ML solutions for product recommendation, create processes to improve advertiser experience, identify opportunities for generative AI enhancement.
Seniority
Senior, hands-on IC