Acoustic ML Engineer


We ( are seeking an individual to coordinate a machine learning team of 5 people. The position requires 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.

Your mission

As a driven agile team member, the engineer works on a prioritized list of projects 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". This team member will have to be able to not only develop prototypes end-to-end (for testing and proving concepts), but also manage other ML engineers and coordinate closely with those working on the back-end/platform so as to ensure robust, stable, reproducible deployment pipelines.

Your focus

  • Guide the AI team’s approach to capturing, analyzing, processing, categorizing and predicting health events from sound data
  • Work as a bridge between the AI and back-end teams
  • Design and implement new modeling, signal processing, and event detection approaches
  • Build scalable/robust infrastructure for model training
  • Design and code pipelines for systematized, automated model testing and performance/accuracy quantification
  • Automate pipelines for deploying and version-controlling models on production
  • Carry out ad-hoc and exploratory analyses in collaboration with the AI team and research partners

Why you

  • You are deeply familiar and comfortable with Python and tensorflow, as well as associated audio libraries (pytorch, pyaudio, librosa, etc.).
  • You have both theoretical expertise (principles of modeling and validation) as well as practical know-how (able to quickly turn an idea into an MVP script)
  • You are comfortable with a diversity of data structures, databases, etc.
  • You have domain-specific experience in audio processing and signal processing
  • You are familiar with cloud services (Google Cloud Services and AWS)

Extra: Familiarity with C++, R, web applications (Flask, Django, Shiny), statistics, study design, public health, medicine, security, privacy

Why us

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

To apply please fill in this form