Machine Learning Engineer I
Core
Develop algorithms for medical imaging applications, specifically biomarkers for Computed Tomography images to aid stroke diagnosis.
Role type
Machine Learning Engineer I (Research & Development)
Builds
AI-powered medical devices and algorithms for stroke diagnosis
Domain
Healthcare / Medical Imaging / Computer Vision
Deliverable
production ML models
Required skills
Python, scientific Python stack (Numpy, Scipy), deep learning frameworks (PyTorch), 2D and 3D object detection, building and deploying deep learning products, reinforcement learning, Docker, DICOM protocol, SimpleITK, public cloud platforms (GCP, AWS)
Preferred skills
null
Technologies
PyTorch, GCP, AWS, Docker, SimpleITK
Responsibilities
Develop and maintain algorithms for stroke diagnosis on Computed Tomography images; Research, implement, and modify deep learning and computer vision algorithms; Collaborate with backend/cloud engineers to deploy ML models on GCP/AWS; Design, implement, and test complex data pipelines for algorithm training and validation; Create technical documentation about algorithms and design intuitions; Analyze and collect insights from complex medical data
Seniority
Junior (0-2 years experience), Research-focused IC