Research Intern, AI

About the Role

As a Research Intern – AI, you will collaboratively execute technology programs in the 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.

Key Responsibilities

• Execute technology programs in development and research of AI algorithms.
• Develop and deliver novel solutions for complex, multi-disciplinary problems.

Requirements & Tech Stack

• Expertise in Deep Learning and Computer Vision/Image Processing.
• Proficiency in TensorFlow, PyTorch, and Keras.
• Experience with Generative AI techniques including diffusion models, GANs, foundation vision models, multimodal models, and large language models (LLMs).
• Experience applying generative AI to medical imaging use cases such as:
• Image synthesis
• Image reconstruction
• Report generation
• Data augmentation
• Segmentation
• Clinical workflow automation
• Familiarity with vision-language models (VLMs), retrieval-augmented generation (RAG), and multimodal AI systems for healthcare applications.
• Implementation experience with high-level languages (e.g., Python, C++).
• Experience with frameworks and tools such as Keras, HuggingFace, Vector databases, PyTorch, Tensorflow.
• Experience working with large scale AI training.
• Experience and demonstrated capability to handle challenges with vague or abstract problem definition.
• Staying current on published state-of-the-art algorithms and competing technologies.

Qualifications

• 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 for problems related to:
• Segmentation
• Detection
• Quantification
• Measurements
• Classification
• An in-depth understanding of machine learning algorithms and modeling (e.g., semi-supervised or weakly supervised learning, generative models, transfer learning, optimization, large language models, etc.).
• Ability to work independently and as a team player.

Relocation Assistance Provided: Yes