Machine Learning Engineer

Machine Learning Engineer - Medical ImagingThis Jobot Job is hosted by: Andrew NguyenAre you a fit? Easy Apply now by clicking the ''Apply Now'' button and sending us your resume.Salary: $170,000 per yearA bit about us:Based in Westwood, Los Angeles we are a fast-growing startup that offers automated medical image analysis algorithms and end-to-end solutions to help doctors make clinical decisions in a more accurate, accessible, and efficient way.If you are an Machine Learning Engineer with prior professional experience in Python, and medical imaging, then please read on....Why join us? Up to 170k Base Salary! Extremely Competitive Equity Package! Flexible Work Schedules! Accelerated Career Growth!Job DetailsThe R&D team (located in Los Angeles, CA) is involved with creating innovative solutions using deep learning tailored to the needs of the product lines (Thorax/Retina/Cardio/Skin).Basic QualificationsMS degree in computer science, engineering, or mathematics 2-3 years of relevant experience in building deep learning solutions for computer vision problems Proficient with at least one major deep learning framework, preferably TensorFlow/Pytorch Proficient in Python Good CS fundamentals in data structures and algorithmPreferred Qualifications PhD degree in computer science, engineering, or mathematics 3-5 years of relevant experience in building deep learning solutions for computer vision problems Hands-on experience with state-of-the-art object detection (e.g., RetinaNet, Mask RCNN, CenterNet), semantic segmentation (e.g., U-Net, deeplab), and image classification models (e.g., ResNet, DenseNet). Track record of publications in CV, Medical Image Analysis, and NLP is a plus Hands-on experience with model optimization (e.g., network quantization and half-precision training) is a plus Prior experience with medical images is a plus Prior experience with medical report mining is a plusInterested in hearing more? Easy Apply now by clicking the ''Apply Now'' button.

Created: 2021-11-29