Applied Scientist II, Central Learning Solutions Science
Core
Design, research, and develop AI-driven learning solutions including chat assistants and personalized recommendations for leadership and associate development.
Role type
Applied Scientist (Gen AI & Learning Systems)
Builds
Real-time chat assistants, personalized learning intervention systems, and learning journey roadmaps
Domain
Corporate Learning & Development, Generative AI, Large Language Models
Deliverable
production ML models | product features
Required skills
Gen AI/LLM technology, recommender systems, algorithms and data structures, numerical optimization, data mining, parallel and distributed computing, high-performance computing, Java, C++, Python
Preferred skills
Speech recognition, machine translation, natural language processing, deep learning frameworks (MxNet, TensorFlow)
Responsibilities
Apply science models to extract actionable information from learning feedback, Build recommender systems to generate personalized learning interventions, Leverage GenAI/LLM technology for scaling and automating learning experience workflows, Design and implement metrics to evaluate the effectiveness of AI models, Present deep dives and analysis to both technical and non-technical stakeholders
Seniority
Mid-Senior, hands-on IC
