Applied Researcher 5
Core
Building AI foundation models and high-impact applied research to transform customer experiences in banking.
Role type
Senior Applied Researcher (AI/ML)
Builds
AI foundation models, production ML systems, and scalable AI infrastructure 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, explainability, RLHF, large-scale model training, open-source tooling, cloud computing, research agenda ownership, cross-functional leadership
Preferred skills
Graph Neural Networks, sequential models, model sparsification, quantization, training parallelism, supervised/instruction finetuning, dataset curation, large-scale recommender systems, production real-time streaming environments
Technologies
PyTorch, AWS Ultraclusters, HuggingFace, Lightning, PyTorch-Geometric, DGL
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 research threads bridging prototype and deployment, translate scientific insights to production impact
Seniority
Senior, hands-on IC with research leadership
