Sr. Machine Learning Engineer
Core
Lead technical role developing advanced algorithms for real-time analysis of endobronchial ultrasound (EBUS) and min-profile ultrasound imaging to detect, segment, and classify pulmonary structures for the Ion robotic biopsy platform.
Role type
Senior IC machine learning engineer (medical imaging)
Builds
Next-generation planning and guidance software for the Ion endoluminal robotic system
Domain
Medical device / Robotic surgery / Ultrasound imaging
Deliverable
production ML models
Required skills
Python, C++, PyTorch, OpenCV, MONAI, ITK, VTK, TensorRT, ONNX, spatio-temporal Vision Transformers, recurrent networks, nnU-Net, Graph Neural Networks, Diffusion models, model quantization, pruning, hardware acceleration
Preferred skills
Ultrasound physics, acoustic image processing, temporal/video data analysis, EBUS data experience, low-latency real-time application deployment, Good Machine Learning Practice (GMLP) alignment, commercial AI/ML product shipping
Technologies
PyTorch, OpenCV, MONAI, ITK, VTK, TensorRT, ONNX
Responsibilities
Drive full cycle of medical imaging analysis software development from R&D to commercial product; Design and implement computer vision/ML algorithms for real-time ultrasound processing; Develop algorithms for speckle reduction, acoustic shadowing mitigation, and temporal tracking; Architect model deployment pipelines for high-performance C++ environments; Support system integration, testing, and patent documentation
Seniority
Senior, hands-on IC