Applied Researcher I (AI Foundations)
Core
Building AI foundation models and applying state-of-the-art AI research to create production systems for real-time, intelligent customer experiences in banking.
Role type
Applied Researcher I (AI Foundations)
Builds
AI foundation models, production systems, and scalable AI infrastructure for banking products.
Domain
Banking / Artificial Intelligence / Machine Learning
Deliverable
production ML models
Required skills
Deep learning model development, training optimization, self-supervised learning, robustness, explainability, RLHF, open-source tool development, cloud computing platforms, research agenda ownership, large-scale model training and inference.
Preferred skills
LLM development, NLP research, pre-training large language models, 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, leverage technology stacks to reveal insights in data, build AI foundation models through all development phases, engage in high-impact applied research, and translate technical complexity into business goals.
Seniority
Senior, hands-on IC