Applied Researcher I (AI Foundations, Recommendation Systems, Personalization, Reinforcement Learning)
Core
Building AI foundation models and applying state-of-the-art AI methodologies to create real-time, intelligent customer experiences in banking.
Role type
Senior Applied Researcher (AI Foundations & Recommendation Systems)
Builds
Production AI systems, foundation models, and scalable high-performance AI infrastructure for banking customers.
Domain
Financial Services / Artificial Intelligence / Machine Learning
Deliverable
production ML models
Required skills
Deep learning model development, training optimization, self-supervised learning, reinforcement learning, model evaluation and validation, open-source tool development, cloud computing platform expertise, research agenda ownership, technical writing for business goals
Preferred skills
Large language model (LLM) training and pre-training, instruction tuning, transfer learning, model adaptation, dataset curation, tokenization research, open-source library contributions
Technologies
PyTorch, AWS Ultraclusters, Hugging Face, PyTorch Lightning, VectorDBs
Responsibilities
Partner with cross-functional teams to deliver AI-powered products, build AI foundation models through full development lifecycle, conduct high-impact applied research, translate technical complexity into business goals, develop scalable model training and inference pipelines
Seniority
Senior, hands-on IC with research leadership