Applied Researcher I (AI Foundations, LLM Customization, Finetuning, Reinforcement Learning)
Core
Building AI foundation models and applying state-of-the-art AI to create real-time, intelligent, automated customer experiences in banking.
Role type
Applied Researcher I (AI Foundations, LLM Customization, Finetuning, Reinforcement Learning)
Builds
AI foundation models, production systems, and next-generation customer experiences for banking.
Domain
Banking / Applied AI / Large Language Models
Deliverable
production ML models
Required skills
Deep learning model development, training optimization, self-supervised learning, robustness, explainability, RLHF, open-source tool development, cloud computing, research agenda ownership, high-quality idea generation
Preferred skills
LLM pre-training, supervised/instruction/dialogue finetuning, transfer learning, model adaptation, data preparation, tokenization, dataset curation, open source corpus contribution
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 to push AI developments into customer experiences; translate technical complexity into tangible business goals.
Seniority
Senior, hands-on IC with research leadership