Applied Researcher 4 (AI Foundations, VLM Customization)
Core
Build AI foundation models and customize Vision-Language Models (VLMs) to create real-time, intelligent, automated customer experiences in banking.
Role type
Senior Applied Researcher (AI Foundations & VLM Customization)
Builds
Production AI systems and foundation models for customer-facing banking applications
Domain
Financial Services / Artificial Intelligence / Machine Learning
Deliverable
production ML models
Required skills
Deep learning model development, AI foundation model training, VLM customization, training optimization, self-supervised learning, model pre-training, supervised fine-tuning, instruction tuning, data curation, experimental design, open-source framework usage
Preferred skills
Large language model (LLM) training from scratch, transfer learning, model adaptation, tokenization research, reproducibility in AI research
Technologies
PyTorch, AWS Ultraclusters, HuggingFace, Lightning
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, translate research complexity into business goals, prepare technical reports or conference submissions
Seniority
Senior, hands-on IC with research leadership
