Senior Machine Learning Engineer

Brisbane, Australia or Remote

ResApp Health is developing digital healthcare solutions to assist doctors and empower patients to diagnose and manage respiratory disease using only a smartphone. We are a small team that combines cutting-edge Machine Learning technology with world-class clinical science to deliver breakthrough mobile health solutions and solve real healthcare problems. ResApp is listed on the ASX (ASX:RAP) and headquartered in Brisbane, Australia.

In this role you will be part of our algorithm Research and Development team, bringing our cloud based data and machine learning infrastructure up to a world class level. Our algorithms are centred around using audio, so you’ll also work in digital signal processing. We use a multitude of machine learning techniques, from logistic regression models and hand-crafted features through to deep learning neural networks.

Responsibilities

  • Take a cloud first approach to infrastructure that helps the team efficiently develop, train and test new audio diagnostic ML models at scale
  • Develop and own data storage, analysis and ingestion into our algorithm training runs
  • Collaborate with the ResApp product team to implement machine learning algorithms on smartphones
  • Work closely with our DevOps engineers to ensure pipelines and storage adhere to best practices and are well logged, monitored, regulatory compliant and reliable

Essential Experience

  • BS or higher in Computer Science, Data Science or Machine Learning, or equivalent years of experience
  • Previous experience in machine learning in a cloud environment (AWS, Azure, GCP)
  • At least 3 years experience with building out and maintaining data pipelines (ETL/ELT) within AWS using Python/Spark/Scala
  • Experience in one or more of C++, Python or R
  • Familiar with the development tools used to commit and collaborate on code (Jira, Github)

Desirable Experience

  • Masters or PhD in Machine Learning or Data Science
  • 2 or more years commercial machine learning and/or audio signal processing experience
  • Experience with machine learning frameworks (PyTorch, Sagemaker, tensorflow etc)
  • Experience optimising accelerated (GPU) containers to parallelise model training
  • Solid knowledge of classifiers (e.g. logistic regression, neural networks, etc), feature engineering and feature selection

To apply please send a cover email and a copy of your resume to careers@resapphealth.com.au.

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ResApp Health Limited
ABN 51 094 468 318
Level 12, 100 Creek St,
Brisbane, QLD 4000, Australia

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