Applied Researcher 4 (AI Foundations - LLM, Optimization and Finetuning)
Core
Build AI foundation models (LLMs) through the full research lifecycle, from design and training to evaluation and implementation, to deliver scalable AI infrastructure for banking products.
Role type
Senior Applied Researcher (AI Foundations)
Builds
Production AI foundation models and scalable high-performance AI infrastructure for customer-facing banking applications.
Domain
Financial Services / Large Language Models / Deep Learning
Deliverable
production ML models
Required skills
Deep learning model development, training optimization, self-supervised learning, robustness, explainability, RLHF, LLM pre-training, model finetuning, cloud computing, open-source tools
Preferred skills
Publications on LLM pre-training, experience training 10B+ parameter models, deep learning theory, compiler design, model compression, instruction-tuning
Technologies
PyTorch, AWS Ultraclusters, Huggingface, Lightning
Responsibilities
Partner with cross-functional teams to deliver AI-powered products; build AI foundation models through all development phases; engage in high-impact applied research; translate technical complexity into business goals; collaborate on internal tech reports or conference submissions.
Seniority
Senior, hands-on IC with research leadership
