Machine Learning Co-op

Sorry, this particular job is closed. But feel free to fill out a General Application

Search Jobs

General Apply

  • As an Equal Employment Opportunity Employer, DAVIS has reporting requirements which require us to invite employees to voluntarily self-identify their race/ethnicity. Submission of this information is voluntary and refusal to provided it will not subject you to any adverse treatment. The information obtained will be kept confidential.
  • Accepted file types: pdf, doc, docx, txt, rtf.
  • By applying to this position and providing my contact information, I give The DAVIS Companies permission to provide me with email communications and information.

Machine Learning Co-op

  • Specialty:

  • Title:

    Machine Learning Co-op
    • City:

    • State:

    • Zip Code:

  • Start date:

  • Status:

  • Assignment Type:

  • Job Id:



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!


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


  • 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

More Info


Similar Positions