Machine Learning Engineer (Modeling)

Our team of part-time volunteers works with machine learning, deep learning, and signal analysis for audio analysis in a medical setting. We welcome individuals with professional experience in these domains to apply. The candidate will be immersed in a collaborative environment alongside AI engineers and mentors.

Responsibilities

  • Deeply research and identify state-of-the-art ML approaches for detecting COVID from coughs.
  • Train, build, and deploy AI models into production environments.
  • Produce clean code and APIs to facilitate understanding within the team.
  • Collaborate with product management and leadership to deliver on expectations.
  • Build data ingest and data transformation infrastructure.
  • Process and feature extract from a wide array of input data types.
  • Identify transfer learning opportunities and auxiliary training datasets.
  • Distill results into academic formats, e.g. research paper.

    • Desired Skills

  • 1-2 years of experience working in AI with at least 6 months in audio-processing.
  • Passionate and committed to the Virufy mission, communicate effectively, and share learnings with the team.
  • Strong Python programming experience with toolkits such as Pandas, NumPy, Librosa.
  • Experience in training models with frameworks like Scikit-learn, Tensorflow, Pytorch, Keras.
  • Experience in MLOPs
  • Strong in Statistics
  • Hands-on AI programming experience working on (ideally) enterprise products.
  • Experience using AI for healthcare in clinical research studies and solving real-world problems.

    • Hours

  • 15-20 hours per week for a 6 month period.

    • Questions?

  • Reach out to frederick.cosper@virufy.org and we will get back to you promptly.
    • Apply to this Role