Job Code : AINC17515 

Job Title : Computer Vision Machine Learning Engineer

              We have partnered with a large biotechnology company in the South San Francisco, CA area to provide them with a Computer Vision Machine Learning Engineer. Strong knowledge of fundamentals in feature extraction, computer vision and image/video analysis, 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 multiple microscopy technologies and platforms.

· Integrate into vitro imaging data produced by our company  with other data modalities such as transcriptomics and data from large-scale human cohorts to extract insights about disease mechanisms.

. Be part of a cross-functional team of life scientists, bioengineers, and machine learning scientists to identify therapeutic targets and develop drugs that 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, or equivalent practical experience (e.g., a Master degree plus 2 years in relevant industry experience)

· Demonstrated ability to use and develop cutting edge methods for analyzing imaging data

·  Extensive hands-on experience working with microscopy data or similar biomedical or biophysical imaging modalities

·  Experience developing models for diverse computer vision tasks (e.g. segmentation, recognition, classification, domain adaptation) including using modern 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 diverse backgrounds and job functions

·  Passion for providing better medicine to patients in need 

Nice to have experience for the Computer Vision Machine Learning Engineer:

·Demonstrated ability to write software in a team, industry experience or substantial 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 workflow management tools or batch scheduling systems (e.g. SLURM)

·  Experience with database languages (e.g., SQL) and experience with version control practices and tools (e.g. Git)

· Experience working with histopathology images

Proficiency in C++ or other compiled, statically-typed languages