Applied Researcher 5 (AI Foundations: Evaluation and Agentic Workflows)
Core
Building AI foundation models and agentic workflows to create trustworthy, real-time AI systems for banking customer experiences.
Role type
Senior Applied Researcher (AI Foundations)
Builds
Production AI foundation models and agentic workflows for banking products
Domain
Financial Services / Artificial Intelligence / Machine Learning
Deliverable
production ML models
Required skills
Deep learning model development, training optimization, self-supervised learning, robustness, explainability, RLHF, large-scale model training, open-source framework development, research agenda ownership
Preferred skills
Geometric deep learning, graph neural networks, sequential models, multivariate time series, large-scale recommender systems, production real-time streaming environments, open-source contributions (PyTorch-Geometric, DGL)
Technologies
PyTorch, AWS Ultraclusters, Huggingface, Lightning
Responsibilities
Partner with cross-functional teams to deliver AI-powered products, build AI foundation models through design to implementation, engage in high-impact applied research, lead cross-functional research threads bridging prototype and deployment
Seniority
Senior, hands-on IC with research leadership
