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Machine Learning Engineer (Modeling)

Virufy

Location TBDFull-timePosted 1y agoStill listed 3 days ago

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At a glance

Compensation
No compensation found
Location
Location TBD
Role Type
Volunteer
Schedule
Full-time
Work Authorization
Not specified

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Job overview

Virufy is hiring a Machine Learning Engineer (Modeling). Virufy seeks a Machine Learning Engineer to join a part‑time volunteer team focused on audio‑based COVID detection, collaborating with AI engineers and mentors in a medical research environment.

Key focus areas include Research state‑of‑the‑art ML approaches for detecting COVID from coughs, Train, build, and deploy AI models into production environments, and Produce clean code and APIs for team understanding.

Important skills include Machine Learning, Deep Learning, Audio Signal Processing, Pandas (Python Package), Scikit-learn (Machine Learning Library), and Statistics.

Skills & qualifications

RequiredNice to have

Skills

Machine LearningDeep LearningAudio Signal ProcessingPandas (Python Package)Scikit-Learn (Machine Learning Library)StatisticsData IngestionData TransformationFeature ExtractionPythonNumPyLibrosaTensorFlowPyTorchKerasMLOps

Qualifications

1–2 Years AI Experience6+ Months Audio‑Processing ExperienceMLOps ExperienceHealthcare AI Experience

Full job description

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 [email protected] and we will get back to you promptly. Apply to this Role

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