AI Research Intern at GE HealthCare in Bellevue

Summary: GE HealthCare is a leading company in the healthcare sector focused on AI technologies. They are seeking an AI Research Intern to work on developing novel machine learning algorithms and deep learning capabilities for medical applications, collaborating with top researchers in the field. Responsibilities: - Working with large-scale datasets, design and develop novel machine learning algorithms particularly in LLM to provide automation of clinical tasks using one or more of medical images, electronic medical records, waveforms, and clinical reports - Demonstrating algorithms to meet accuracy requirements on general subject population through statistical analyses and error estimation - Building prototypes to enable development of high-performance AI algorithms in scalable, product-ready code - Initiating/proposing unique and promising deep learning capabilities, developing new and innovative algorithms and technologies, pursuing patents and research publications where appropriate - Researching and evaluating emerging technology, industry, and market trends to assist in product development and/or operational support activities Required Qualifications: - Currently enrolled in a Bachelor's or Master's degree in computer science or related areas - Experience in one area of computer science (e.g., Natural Language Understanding, Computer Vision, Machine Learning, Deep Learning, Algorithmic Foundations of Optimization) - Experience with one or more general purpose programming languages (e.g., Python, Java, C/C++, etc.) - In depth experience with one or more big data technologies like Spark/Hadoop and ML technologies like PyTorch/Tensorflow - Experience creating production environment data analytics and applications Required Skills: Machine Learning, Deep Learning, Python Important Skills: Natural Language Understanding, Computer Vision, Big Data Technologies, PyTorch, TensorFlow Nice-to-Have Skills: Statistical Analysis, Algorithmic Foundations, Production Environment Benefits: Great work environment, Professional development, Challenging careers, Competitive compensation