We (hyfe.ai) are seeking a senior machine learning engineer with deep experience in audio, signal processing, event detection, neural networks, and general python programming/engineering. The ideal candidate will be familiar with DevOps/MLOps, have demonstrated leadership/management experience, have demonstrated abilities for developing and implementing machine learning pipelines end-to-end, and can work in a fast-paced environment.
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, automating manual processes, creating and mandating rigorous documentation and testing, communicating data science to internal and external stakeholders, and applying intellect and creativity to drive forward the field of "acoustic epidemiology". The Senior Acoustic ML Engineer will report directly to the CEO.
Extra: Familiarity with C++, R, web applications (Flask, Django, Shiny), statistics, study design, public health, medicine, security, privacy
Come and join our international 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.
Hyfe offers attractive benefits:
- Flexible working hours
- Workstation support
- Employee stock options