GE HealthCare AI Engineer 

United States, Washington, Bellevue 

851405717

As an AI Engineer, you will play a crucial role in bridging the gap between AI science and production, helping to develop and deploy production-ready AI models and solutions. You will be responsible for developing and deploying AI models from end-to-end, from large-scale model training to implementing and managing the workflows necessary to optimize, package, deploy, monitor, and maintain machine learning models.

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.
• Staying current on published state-of-the-art algorithms and competing technologies.
• Contributing to the development of software and data delivery platforms that are service-oriented with reusable components across teams (multiple teams) that can be orchestrated together into different methods for different businesses.

Basic Qualifications

• Graduate degree in computer science or related areas with two years of industry experience.
• Experience in one area of computer science (e.g., Natural Language Understanding, Computer Vision, Machine Learning, Deep Learning, Algorithmic Foundations of Optimization), with related software development experiences.
• Experience with one or more general purpose programming languages (e.g., Python, Java, C/C++, etc.) In depth experience with Spark/Hadoop and PyTorch/Tensorflow.
• Experience working with large scale AI training, prompt tuning, distillation, robustness, quantization.

Preferred Qualifications

• Experience with handling noisy real world medical and patient data.
• Cloud experience

Eligibility Requirements

• Legal authorization to work in the U.S. is required. GE may agree to sponsor an individual for an employment visa now or in the future if there is a shortage of individuals with particular skills.
• Must be willing to travel to attend meetings, workshops, conferences & etc.
• Must be willing to work out of an office located in the greater Seattle Area.