Machine Learning Engineer - Medical Imaging

Job Description

Machine Learning Engineer - Medical Imaging

An opportunity to join a visionary medical imaging company designing and developing leading edge cancer treatment technology.

The Machine Learning Engineer will be contribute to development and industrial research in support of the Company’s active R&D work streams. Responsibilities will include for the evaluation, design, and improvement of our radio-frequency imaging system and techniques for medical applications. Developing algorithm and implementing imaging and analytical aspects of the commercial software.

Responsibilities:

  • Develop and implement novel radio-frequency imaging techniques for medical applications;
  • Assessing technologies to improve/ extend the Company’s radio-frequency imaging capabilities;
  • Making contributions to R&D resulting in novel functionality and new product offerings;
  • Documentation in the form of technical papers, and presentations; and
  • Contribute in patents application.

Essential Knowledge, Skills and Abilities:

  • Experience with pattern recognition techniques, e.g. feature extraction and classification.
  • Experience with machine learning toolkits and/or cloud-based solutions.
  • Learning algorithms
  • Supervised Learning: target / outcome variable (or dependent variable)
  • Regression, Decision Tree, Random Forest, KNN, Logistic Regression etc.
  • Hands-on experience of experimental work and management of huge volumes of data, its collection and analysis.
  • MATLAB (or close equivalent) prototyping skills.

Desirable:

  • Experience working in a regulated commercial environment (medical, aviation, automotive) including traceability requirements and risk management.
  • Good solid background in signal processing.
  • Experience in medical imaging or biomedical signal statistical analysis.
  • Knowledge of medical imaging (e.g., Ultrasound, CT, and/or MRI) theory, reconstruction and applications.
  • Experience in software and hardware system development.
  • Experience in radar imaging techniques including synthetic aperture radar (SAR) and the ability to develop new algorithms and techniques related to radar imaging, such as algorithms involving image focusing/reconstruction, beam-forming, radar cross-section analysis, automatic target recognition, array & antenna simulation, wave propagation inverse scattering etc.
  • C/C++/C# Object Oriented Programming, familiar with Visual Studio. Familiar with code version control.