Research Intern - AI

Role Overview

As a Research Intern – AI, you will collaboratively execute technology programs in development and research of AI algorithms for improving medical workflows. You will interact with technologists and engineers to develop and deliver novel solutions for complex, multi-disciplinary problems for GE Healthcare.

Responsibilities

• Focus on areas including Image analytics, Deep Learning, Inverse problems in Imaging, Clinical decisioning, and super resolution reconstruction.
• Develop and apply Generative AI techniques including diffusion models, GANs, foundation vision models, multimodal models, and large language models (LLMs).
• Apply generative AI to medical imaging use cases such as image synthesis, image reconstruction, report generation, data augmentation, segmentation, and clinical workflow automation.
• Utilize vision-language models (VLMs), retrieval-augmented generation (RAG), and multimodal AI systems for healthcare applications.

Requirements

• Currently pursuing a PhD in Computer Science / Data Sciences / AI from a reputed institute.
• Understanding of building large scale AI such as generative AI models, large vision/language models, and multi-modal AI models.
• Implementation experience with high-level languages like Python and C++.
• Experience with frameworks and tools such as Keras, HuggingFace, Vector databases, PyTorch, and TensorFlow.
• Experience working with large scale AI training.
• In-depth understanding of machine learning algorithms and modeling (e.g., semi-supervised or weakly supervised learning, generative models, transfer learning, optimization, LLMs).
• Ability to handle challenges with vague or abstract problem definitions and work both independently and as a team player.

Skills

• Python
• PyTorch
• TensorFlow
• Keras
• Generative AI