As an AI Research Scientist within IBM Research, you will join a team dedicated to advancing high-performance computing, AI, and quantum technologies. You will lead cutting-edge projects in deep learning, reinforcement learning, and lifelong learning to solve complex analytical problems using rigorous quantitative approaches. Your daily responsibilities include developing and proving mathematical properties of algorithms, conducting experiments to evaluate user impact, and embedding research algorithms into usable systems. You must communicate findings through publications in top-tier journals and conferences like NIPS, CVPR, ICML, and ICLR. The role requires deep expertise in areas such as computer vision, NLP, and neuromorphic architectures. You will utilize core frameworks including Tensorflow, Caffe, PyTorch, and Theano to implement innovative solutions and integrate diverse AI concepts into functional systems.
Large Language Models
NLP
Python
PyTorch
Hugging Face Transformers
RAG
Agentic AI
Fine-tuning
RLHF
SFT
LoRA
Prompt Engineering
Production ML Systems
Knowledge Graphs
Semantic Search
Model Optimization
LLM-as-judge
Hyperparameter Search
Foundation Models
Multimodal Learning
Computer Vision
Generative AI
Deep Learning
Medical Imaging
Vision-Language Models
Model Distillation
Few-Shot Learning
Zero-Shot Learning
Self-Supervised Learning
Transfer Learning
Representation Learning
Model Compression
Parameter-Efficient Adaptation
Electronic Health Records
Medical AI