This position will support the lead researcher in an investigation of deep learning technologies as applied to Liquid Chromatorgaphy/Mass Spectrometry analysis.  The successful candidate will work closely with the lead researcher(s) to develop new algorithms and explore the usefulness of Deep Learning to new domains.  This is a great opportunity to showcase your knowledge and make a big impact on a global organization!

Responsibilities:

• Development of Machine Learning algorithms
• Integration with lead researcher
• Management of algorithm source code

Qualifications:

• Strong knowledge on Machine Learning techniques with emphasis in Deep Learning
• Fluent with TensorFlow Deep Learning framework
• Fluent in Python and C++ programming languages
• Comfortable developing Deep Learning models in workstations with multiple GPUs
• Familiar with GPU Cloud Computing such as AWS or Google Cloud
• Comfortable in both Windows and Linux

Desired (considered a plus):

• Familiar with Caffe Deep Learning framework
• Knowledge of CUDA and R programming languages
• Familiar with Matlab
• Experience designing efficient algorithms
• Knowledge on Mass Spectrometry