Design and implement networks to provide automation of clinical tasks using one or more of medical images, electronic, medical records, waveforms, and clinical reports.
Demonstrate algorithms meet accuracy requirements on general subject population through statistical analyses and error estimation.
You will develop innovative machine learning techniques and advance the research agenda of the team you work on, while also collaborating with peers across the organization.
Explore learning from human feedback and assisting humans evaluating AI.
Build prototypes to enable development of high-performance AI algorithms in scalable, product-ready code.
Initiate and propose unique and promising deep learning capabilities, develop new and innovative algorithms and technologies, pursuing patents where appropriate.
Stay current on published state-of-the-art algorithms and competing technologies.
Contribute 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
Demonstrated expertise in building large scale AI such as generative AI models, large vision/language models, and multimodal AI models for problems related to segmentation, detection, quantification, measurements, classification, etc.
Demonstrated expertise in large-scale training, pre-training, prompt tuning, distillation, robustness, responsible AI, quantization, etc.
Strong implementation experience with a variety of high-level languages (e.g. Python) and frameworks and tools such as DeepSpeed, HuggingFace, Megatron, PyTorch lightning, etc.
Experience with high-dimensional imaging data and waveform/time-series data.
A desire to be hands-on and help invent the future of next-gen AI in Healthcare!