Machine Learning Engineer
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Summary
Machine Learning Engineer at HeartVista (Palo Alto) applying deep learning to MRI technology — working on image acquisition, reconstruction, post-processing, and real-time feedback algorithms for clinical use. Core stack includes TensorFlow/PyTorch/Keras, Python, C++, Linux, and Git, with opportunities to publish and attend conferences.
How you’ll make an impact
- Creating new ways to apply deep learning to solve everyday clinical problems
- Image acquisition
- Reconstruction
- Post-processing and analysis
- Designing and implementing algorithms with real-time feedback for the technician and patient
- Educating team members with your expertise while also learning from their experience
- Contributing to academic publications and attending conferences such as RSNA, ISMRM, SCMR, NeurIPS, CVPR
Useful experience
- Thorough knowledge and demonstrable experience in deep learning with TensorFlow, PyTorch, or Keras
- Industrial or academic experience in software development, medical imaging, and signal processing
- Ability to stay up to date with the latest research papers
- Ability to create high quality code and familiarity with Agile development, code-reviewing, Python, C++, Linux, Git
- Master’s or Ph.D. in a relevant area
What we offer
- A position to help shape the future of MRI technology
- Competitive hourly salary
- Immigration support to work in the US
All your information will be kept confidential according to EEO guidelines.