Applied Researcher 5 (AI Foundations - LLM, Optimization and Finetuning)
Core
Build AI foundation models (LLMs) and optimize training/inference to deliver scalable, high-performance AI systems for banking customer experiences.
Role type
Senior Applied Researcher (AI Foundations)
Builds
Production-ready AI foundation models and optimized inference pipelines for real-time banking applications
Domain
Financial Services / Large Language Models / Deep Learning Optimization
Deliverable
production ML models
Required skills
Deep learning model development, LLM pre-training, training optimization, self-supervised learning, model finetuning, transfer learning, cloud computing, open-source tools
Preferred skills
Publications in top-tier ML/NLP venues, experience training 10B+ parameter models, compiler design, RLHF, model compression
Technologies
PyTorch, AWS Ultraclusters, HuggingFace, Lightning
Responsibilities
Partner with cross-functional teams to deliver AI-powered products, build AI foundation models through full development lifecycle, engage in high-impact applied research, lead research threads bridging prototype and deployment
Seniority
Senior, hands-on IC with research leadership
