GE HealthCare Deep Learning Engineer 

United States, Washington, Bellevue 

747145069

As a Deep Learning Engineer, you will play a crucial role in bridging the gap between AI science and production, helping to train AI models in the vision, text, and multi-modal domains. You will be responsible for the end-to-end development of AI models, from large-scale data processing to distributed model training.

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.
• Troubleshoot and resolve challenges relating to large-scale model training involving multi-GPU and/or distributed training regimes.
• 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.

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 working with large scale AI training, prompt tuning, distillation, robustness, quantization.
• Experience with multi-GPU and distributed model training.
• 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.

Preferred Qualifications

• Experience with handling noisy real world medical and patient data.
• Cloud experience (AWS, GCP, Azure)

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.