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Staff AI Researcher
4 weeks ago
Job Description Summary
The Staff AI Scientist will work in teams addressing statistical, machine learning, and data understanding problems in a commercial technology and collaborative development environment.
Key Responsibilities
- Contribute to the development and deployment of modern machine learning methods for finding structure in large healthcare data sets.
- 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.
- 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
- 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 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.