GE HealthCare AI Scientist 

United States, Washington, Seattle 

84132331

Additionally, you will be responsible for:

• Developing and implementing novel machine learning algorithms particularly in the area of 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.
• Exploring learning from human feedback and assisting humans evaluating AI.
• Building prototypes to enable development of high-performance AI algorithms in scalable, product-ready code.
• Working with large-scale datasets, designing, and developing generative algorithms.
• Staying current on published state-of-the-art algorithms and competing technologies.

• Master’s Degree in a “STEM” major (Science, Technology, Engineering, Mathematics) or equivalent field plus 3 years of relevant researchORPh.D. in a “STEM” major (Science, Technology, Engineering, Mathematics) or equivalent field with 3 years of relevant research .
• Publications as first author on LLM/Foundational/Multimodal models or self supervised learning (SSL).
• Demonstrated expertise in 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, etc.
• Implementation experience with a variety of high-level languages (e.g. Python, C++)
• Experience with high-dimensional imaging data and waveform/time-series data.

• Experience and demonstrated capability to handle challenges with vague or abstract problem definition.
• Experience with frameworks and tools such as DeepSpeed, HuggingFace, Megatron, PyTorch lightning, etc.
• Experience with various MLOps, ModelOps, FMOps (Foundation Model Ops) methods.
• Experience working with large scale AI training.
• 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.)
• Track record in developing machine learning solutions using massive real-world data for solving real world business problems.
• In depth experience with Spark/Hadoop and either PyTorch/Tensorflow
• Experience creating production environment data analytics and applications

• 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 Bellevue, WA.

Our total rewards are designed to unlock your ambition by giving you the boost and flexibility you need to turn your ideas into world-changing realities. Our salary and benefits are everything you’d expect from an organization with global strength and scale, and you’ll be surrounded by career opportunities in a culture that fosters care, collaboration, and support.