Jobbeschreibung Zusammenfassung
The Staff AI Scientist will work in teams addressing statistical, machine learning and data understanding problems in a commercial technology and collaborative development environment. In this role, you will contribute to the development and deployment of modern machine learning methods for finding structure in large healthcare data sets.
At GE HealthCare, we are committed to bringing AI and cloud-based solutions for our customers: all aspects of computing services across the cloud and edge – including advanced analytics, visualization, multi-modal learning, servers, databases, storage, networking, analytics, software, intelligence are delivered over the Internet. Our Science & Technology organization is harnessing the power of technology to make healthcare more precise, more personalized, and more accessible for everyone. From driving the overall clinical research and patient-centric innovation strategy to delivering new digital and machine learning capabilities - we’re committed to leading digital transformation, improving outcomes for patients and providers, and creating a world where healthcare has no limits. To find out more, visit: https://jobs.gecareers.com/science-technology
Stellenbeschreibung
Are you passionate about using AI to transform healthcare? We are looking for a highly motivated individual, passionate about foundational AI models, scalable AI tools, and Healthcare AI models to join the newly formed GE Healthcare AI group. As the Staff AI Scientist, you will focus on exciting generative vision, text, speech, time-series, and multi-modal problems related to segmentation, object detection, large-scale generative models, large-scale pretraining, prompt tuning, distillation, robustness, responsible AI, quantization, etc.
Additionally, you will be responsible for:
• 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.
• Research and evaluate emerging technology, industry, and market trends to assist in product development and/or operational support activities to for multiple teams or complex scenarios.
Qualifications/Requirements:
Basic Qualifications:
• Master’s Degree in a “STEM” major (Science, Technology, Engineering, Mathematics) or equivalent field plus 4 years AI development for industrial applications in a commercial setting OR Ph.D. in a “STEM” major (Science, Technology, Engineering, Mathematics) or equivalent field plus 1 year AI development for industrial applications in a commercial setting.
• Demonstrated expertise in developing scalable AI tools.
• 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!
Preferred Qualifications:
• Ph.D. in a “STEM” major (Science, Technology, Engineering, Mathematics) or equivalent field plus 3 years’ experience in computer vision, machine learning, etc. Post-doctoral fellowships can be substituted for industry experience if it is in a relevant area.
• Publication record in top conferences (such as NeurIPS, CVPR, ICML, etc.)
• 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.
• Skills to influence Cross functional teams within GE HealthCare
• Experience and demonstrated capability to handle challenges with vague or abstract problem definition.
• Strong experience working with large scale AI training and building scalable AI tools.
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 fu
Location: San Ramon, CA
Posted: Aug. 26, 2024, 1:56 a.m.
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