Computer Vision Machine Learning Engineer - Allnessinc

Job Code : AINC17515Job Title : Computer Vision Machine Learning Engineer We have partnered with a large biotechnology company in the South San Francisco,CAarea to provide them with a Computer Vision Machine Learning Engineer. Strongknowledge of fundamentals in feature extraction, computer vision and image/videoanalysis, including deep learning .Responsibilities of the Computer Vision Machine Learning Engineer:· As a machine learning engineer with expertise in microscopy image analysis,you will develop cutting-edge ML approaches to analyze data from multiplemicroscopy technologies and platforms.· Integrate into vitro imaging data produced by our company with other datamodalities such as transcriptomics and data from large-scale human cohorts toextract insights about disease mechanisms.. Be part of a cross-functional team of life scientists, bioengineers, andmachine learning scientists to identify therapeutic targets and develop drugsthat have high efficacy and low toxicity.Requirements of the Computer Vision Machine Learning Engineer:·Ph.D. in computational biology, computer science or a related discipline, orequivalent practical experience (e.g., a Master degree plus 2 years in relevantindustry experience)· Demonstrated ability to use and develop cutting edge methods for analyzingimaging data·Extensive hands-on experience working with microscopy data or similarbiomedical or biophysical imaging modalities· Experience developing models for diverse computer vision tasks (e.g.segmentation, recognition, classification, domain adaptation) including usingmodern deep learning frameworks (TensorFlow, PyTorch, Keras, etc)·Proficiency in Python and working with large-scale image datasets·Ability to communicate effectively and collaborate with people of diversebackgrounds and job functions· Passion for providing better medicine to patients in needNice to have experience for the Computer Vision Machine Learning Engineer:·Demonstrated ability to write software in a team, industry experience orsubstantial involvement with open source projects.·Experience working with OpenCV, CUDA, OpenGL, etc·Experience working with various image file formats·Experience with microscopy data acquisition·Good understanding of image formation models (Fourier optics)·Familiarity with cloud computing services (especially AWS) and workflowmanagement tools or batch scheduling systems (e.g. SLURM)·Experience with database languages (e.g., SQL) and experience with versioncontrol practices and tools (e.g. Git)· Experience working with histopathology imagesProficiency in C++ or other compiled, statically-typed languages