
Principal Scientist - Machine Learning
Work with and lead teams of researchers on new and continuing projects. Develop software solutions for the application of Machine Learning to medical and industrial data. Implement and analyze prototypes and solutions for real-world problems. Employ software libraries, tools, and practices to implement efficient, scalable, and reusable solutions. Collaborate with GE’s other Machine Learning experts to define and pursue strategic advancement of new Machine Learning technologies. Publish novel findings in scientific workshops, conferences, and journals. Create intellectual property by writing invention disclosures and filing patents.
Minimum of 2 years of industrial or healthcare experience
Deep expertise in one or more of: Machine Learning + Physics, Explainable Machine Learning, Graph Neural Networks
Extensive publications in peer-reviewed journals and conferences in Machine Learning, Artificial Intelligence, and relevant application fields
Post-doctoral or industrial experience inventing and developing new Machine Learning technologies
Time Management Skills
Python scripting skills
Analytical skills (data driven)
Prototype testing skills
Writing grant proposals
Driven and self-motivated
Prioritizing skills
Adaptability
Problem Solving Skills
Detail Oriented and Organized
Verbal and Written Communication
Multi tasker
According to JobzMall, the average salary range for a Principal Scientist - Machine Learning in 717 17th St, Denver, CO 80202, USA is between $93,280 and $179,800 per year. This range can vary depending on the experience and qualifications of the individual.
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General Electric Company was an American multinational conglomerate founded in 1892 and incorporated in the state of New York and headquartered in Boston. The company had several divisions, including aerospace, energy, healthcare, and finance.

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