We are expanding rapidly, and hence, we are seeking new, experienced, and hands-on team members who think outside of the box (and are not afraid to share their thoughts), deliver unique ideas and work in a fast-paced environment.
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Hyfe Inc (www.hyfe.ai) is an AI company focused on acoustic epidemiology (analyzing health sounds, mostly cough, for health measurement, outbreak detection, and disease diagnosis). We are expanding rapidly and are seeking new, experienced, and hands-on team members who think outside of the box (and are not afraid to share their thoughts), deliver unique ideas, and work in a fast-paced environment.
As a company working at the crossroads of machine learning and health, Hyfe has many collaborations with clinical and public health researchers. The success and support of these collaborations is fundamental to Hyfe’s long-term success. You will be a member of Hyfe’s internal research team, working to support external research partnerships, developing new collaborations, and making the greatest impact possible through each project we undertake by ensuring the success of research partners. This role balances high levels of teamwork, independence, and agile problem-solving within the dynamic and ambiguous context of a growing team, in which initiative and accountability are an absolute must.
Come and join our international, remote, and collaborative work environment as we strive towards our vision of improving the lives of people with respiratory conditions. Apply today to help shape the future of healthcare.
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As a driven agile team member, the engineer works in a manner that is independent and proactive, identifying opportunities for exploiting a large already existent database of health sounds, iterating rapidly on MVP prototypes for new methods of data collection and analysis, informing strategy regarding product, building models using cutting-edge ML and signal processing techniques, designing data pipelines for ongoing model validation and improvement, and applying intellect and creativity to drive forward the field of "acoustic epidemiology".