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Machine Learning Engineer - Junior level

San Diego, California · Computer/Software
Trabus Technologies (TRABUS) is a minority-owned, service-disabled veteran-owned small business (SDVOSB) headquartered in San Diego, California. Our company has been providing key solutions and unparalleled value in wireless technologies, cybersecurity and artificial intelligence to the federal government and private sector since 2010.

Our capabilities are widely diversified. From the development of emerging technologies that will revolutionize the wireless industry to engineering support services to the armed services, TRABUS is committed to solving real-world problems through technical innovation.
TRABUS has been recognized by “Inc. 5000” as one of the 5,000 fastest-growing, privately held small companies in the United States the last seven years in a row. TRABUS is a dynamic, forward-thinking business ready to engage in and overcome our customers’ challenges.

We are looking for a junior level Machine Learning Engineer who can join our team and make an immediate through their creativity, enthusiasm, and technical abilities. Our junior level Machine Learning Engineer will have knowledge of machine learning algorithms and DevOps tools for our diverse projects in marine transportation, cybersecurity, and climate/environmental informatics.  We aren’t looking for someone who will simply go through the motions, but someone willing to go beyond expectations, do something important, and make a true difference.

As a junior level Machine Learning Engineer, your responsibilities will include:
  • Write code to extract and pre-process training data sets
  • Research, select and develop appropriate ML/DL (Machine Learning/Deep Learning) algorithms to tackle AI problems across interdisciplinary data domains
  • Assist TRABUS AI/ML engineers in establishing automated AI workflows that continuously provide inferences/predictions
  • Develop validation and test routines to measure and evaluate the quality of predictions

You will be a good fit if you have the following qualifications/certifications:
  • 2+ years programming in Python
  • Completed coursework in Machine Learning, Deep Learning, Algorithm Design and Data Science
  • Knowledge of Python libraries - Pandas, scikit-learn, Keras, Tensorflow and/or PyTorch
  • Good understanding of databases and API-based data ETL operations
You will be an even better fit if you have experience in these areas:
  • Bachelor’s degree (Master’s degree is preferred) in Computer Science/Engineering/Data Science or other STEM related discipline.
  • Strong knowledge of Linux or Unix-like OS.
  • Excellent coding skills in Python, ability to handle and analyze large data sets/streams and familiarity with web frameworks such as Django and Flask. 
  • Experience in handling git repositories

We’d expect you to have the following educational background, but appropriate experience (above) may outweigh the education requirements:
  • Bachelor's degree in Computer Science/Engineering/Data Science or other STEM related discipline.
US Citizenship required.

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