AI / Computer Vision Researcher

Essential Responsibilities:
· Lead implementation and scaling of vision and estimation algorithms
· Apply supervised and unsupervised deep learning models to clinical images
· Work with other vision scientists and SW engineers to deliver deployable technology while seeking creative ways to streamline processing and workload
Qualifications/Requirements:
· Degree in Applied Math, Electronics Engineering, Computer Science, Computer Engineering, or related engineering field
· Experience in machine learning algorithms for vision problems including deep learning algorithms for image segmentation, object and motion detection, classification
· Advanced mathematical modeling skills
· Experience programming in Python, especially the data science stack: numpy, scikit-learn, pandas, matplotlib
· Experience in at least one of the following frameworks is required: Keras, Tensorflow, PyTorch
· Medical Industry experience – huge advantage
· Comfortable with OpenCV and other computer vision libraries
· Knowledge of Linux systems in Ubuntu, CentOS
· Expert in algorithm design, creative problem solving, and performance optimization
· Knowledgeable with computational geometry, linear algebra, and statistics
· Exceptional problem solver and communicator
· Effective documentation practices and experience writing reports