Applied Researcher 4 (AI Safety & Multimodal)
Core
Building AI foundation models and safety guardrails for multimodal systems (VLMs, MLLMs, MM-RAG) to enhance customer experiences in banking.
Role type
Senior Applied Researcher (AI Safety & Multimodal)
Builds
AI foundation models, safety guardrails, and production-ready multimodal AI systems.
Domain
Financial Services / AI Safety / Multimodal Deep Learning
Deliverable
production ML models
Required skills
Deep learning model development, AI safety & red teaming, multimodal system design, training optimization, self-supervised learning, explainability, RLHF, large-scale model deployment, open-source framework expertise
Preferred skills
LLM pre-training, model compression, instruction tuning, deep learning theory publications, compiler design, controlled experiment design
Technologies
PyTorch, AWS Ultraclusters, HuggingFace, Lightning
Responsibilities
Partner with cross-functional teams to deliver AI-powered products; build AI foundation models through design, training, and evaluation; engage in high-impact applied research; develop safety guardrails for multimodal systems; translate technical complexity into business goals; collaborate on research publications.
Seniority
Senior, hands-on IC with research leadership
