Applied Researcher 5
Core
Building AI foundation models and conducting high-impact applied research to develop production systems for real-time, intelligent customer experiences in banking.
Role type
Senior Applied Researcher (AI/ML)
Builds
AI foundation models, production ML systems, and scalable AI infrastructure for banking products.
Domain
Financial Services / Artificial Intelligence / Machine Learning
Deliverable
production ML models
Required skills
Deep learning model development, training optimization, self-supervised learning, explainability, RLHF, open-source frameworks, cloud computing, research agenda ownership, cross-functional leadership
Preferred skills
Generative AI (LLMs, Diffusion models), geometric deep learning, graph neural networks, large-scale model training (10B+ parameters), model sparsification/quantization, fine-tuning for recommendation/search, scaling to 100M+ users
Technologies
PyTorch, AWS Ultraclusters, HuggingFace, Lightning, Kubernetes, KubeRay, PyTorch-Geometric, DGL
Responsibilities
Partner with cross-functional teams to deliver AI-powered products; build AI foundation models through design, training, evaluation, and implementation; engage in high-impact applied research; lead research threads bridging prototype development and deployment; translate scientific insights into production impact.
Seniority
Senior, hands-on IC with research leadership
