GE HealthCare Staff AI Scientist 

United States, California 

224992074

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.

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 settingORPh.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 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 San Ramon, CA.

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.

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.

GE will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).