Applied Researcher 4 (AI Foundations - LLM, Optimization and Finetuning)
Core
Building AI foundation models (LLMs) and optimizing training/finetuning to create trustworthy, real-time AI systems for banking customer experiences.
Role type
Senior Applied Researcher (AI Foundations)
Builds
Production AI foundation models and scalable high-performance AI infrastructure for banking products.
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, robustness, explainability, RLHF, cloud computing, open-source tools
Preferred skills
LLM architecture design, model sparsification, quantization, training parallelism, gradient checkpointing, compiler design, instruction-tuning, transfer learning, deep learning theory publications
Technologies
PyTorch, AWS Ultraclusters, HuggingFace, Lightning
Responsibilities
Partner with cross-functional teams to deliver AI-powered products; build AI foundation models through design, training, evaluation, and implementation; conduct high-impact applied research to push AI developments into customer experiences; prepare internal tech reports or conference submissions.
Seniority
Senior, hands-on IC with research leadership
