Principal Engineer, Algorithms and Deep Learning R&D, Health at Magic Leap | Torre
Principal Engineer, Algorithms and Deep Learning R&D, Health
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Magic Leap

Principal Engineer, Algorithms and Deep Learning R&D, Health

Magic Leap
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Full-time

Legal agreement: Employment

Compensation
USD90k - 160k/year
Non-negotiable
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Hybrid (United States)
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Posted over 5 years ago

Requirements and responsibilities

• Lead the algorithm development team to explore, research, prototype, design, develop and test methods and algorithms for health applications, including the detection and measurement of clinically and biologically relevant biomarkers, and assess their feasibility prior to productization. • Provide support and knowledge of algorithm development to the Director of Health R&D in the implementation of a comprehensive strategy for partners and end users. • Supervise the development of optimization methods, deep learning architectures, and tools to ease the use of feed forward and recurrent models. • Work with the clinical lead to research and understand the medical and clinical needs of partners and address these needs in the implementation of algorithms. • Define and coordinate the execution of data collection and analysis mechanisms and protocols. • Coordinate with the digital health platform team on the transfer of algorithms from applied-research feasibility phase to their implementation as production code. • Assist business segment leaders and systems engineering in capturing and understanding customer needs and translating them into system requirements. • Interface with hardware and software teams to ensure that needed features are placed in the product roadmap. • Ensure that the algorithm development team writes elegant, maintainable, reusable code, leveraging test driven principles to develop high quality algorithms and services. • Establish processes to create software, review code, and write documentation following medical device and HIPAA design controls. • Work closely with Software Security, User Experience, Hardware, Software, Business Development, Product, Clinical and Regulatory teams to implement the next generation clinically validated digital health biomarker suite for the device.
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