Applied Researcher I (AI Foundations, LLM Core and Agentic AI)
Core
Building AI foundation models (LLMs, agentic AI) and production systems to transform banking customer experiences.
Role type
Applied Researcher I (AI Foundations, LLM Core and Agentic AI)
Builds
AI foundation models, production AI systems, and scalable high-performance AI infrastructure for banking.
Domain
Banking / Financial Services / Large Language Models / Deep Learning
Deliverable
production ML models
Required skills
Deep learning model development, training optimization, self-supervised learning, robustness, explainability, RLHF, open-source tools, cloud computing platforms, research agenda ownership, stakeholder collaboration
Preferred skills
LLM pre-training, model sparsification, quantization, training parallelism, gradient checkpointing, model compression, compiler design, supervised/instruction tuning, transfer learning, model adaptation
Technologies
PyTorch, AWS Ultraclusters, HuggingFace, Lightning, VectorDBs
Responsibilities
Partner with cross-functional teams to deliver AI-powered products; build AI foundation models through design, training, evaluation, and implementation; engage in high-impact applied research; translate technical complexity into business goals.
Seniority
Senior, hands-on IC with research leadership