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Machine Learning Internship - Spring 2025

SOFWERX at DefenseWERX
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Organization:

SOFWERX is a venue operated under an agreement between the United States Special Operations Command (USSOCOM) and Defensewerx, designed to increase collaboration and innovation in order to solve the most difficult warfighter problems. SOFWERX is a forum for accelerating delivery of innovative capability, and facilitating capability refinement through exploration, experimentation, and assessment of promising technology. SOFWERX is in the heart of Ybor City, at a neutral, easily accessible facility.

Responsibilities:

  • Assist in designing, prototyping, and testing various machine learning systems.
  • Support the development, training, and deployment of machine learning models, particularly natural language processing (NLP) models, to automate decision-making processes.
  • Organize, label, and manage datasets for machine learning applications.
  • Assist in integrating machine learning models into backend systems and ensure performance accuracy.
  • Contribute to the development of user-friendly interfaces for displaying analyzed data and model outputs.
  • Assist with testing models and providing real-time feedback to improve performance.
  • Support monitoring of model performance over time and generate reports to track key metrics.
  • Collaborate with subject matter experts and team members to continuously refine solutions.
  • Must participate in weekly market research and submit minimum required entries for new capabilities, technologies, companies, organizations, etc. that could contribute to the innovative ideas needed to create solutions for the Warfighter.

Requirements:

  • MUST BE ELIGIBLE FOR A SECURITY CLEARANCE
  • Pursuing a Bachelor’s degree in Computer Science, Data Science, Machine Learning, Software Engineering, or a related field.
  • Junior or Senior level preferred, with a current GPA of 3.0 or above.
  • Proficiency in Python and experience with machine learning libraries such as TensorFlow, PyTorch, or Scikit-learn.
  • Familiarity with data processing, data management, and handling large datasets.
  • Experience with cloud services (AWS, Google Cloud, or Azure) for model deployment is a plus.
  • Knowledge of RESTful API architecture and web development skills (React/Next, JavaScript) is a plus.
  • Strong problem-solving and troubleshooting skills.
  • Must be willing and able to work in a dynamic, rapidly changing environment.
  • Good communication and organizational skills, with the ability to work both independently and collaboratively.

Time commitment:

  • Hours of operation are 8:00am to 5:00pm Monday thru Friday
  • Position requires a minimum of 15 hours and a maximum of 20 hours per week during the Fall and Spring semesters and up to 30 hours during the summer semester.

Opportunities:

  • Receive direct supervision from the Chief Technology Officer (CTO) and Software Development Manager.
  • Gain hands-on experience working on real-world machine learning and software development projects
  • Engage in employee events, such as team building
  • Build resume and explore career options
  • Apply skills and knowledge to the workplace
  • Upon successful completion of internship, will be provided with letter of recommendation

Rate of Pay:

  • $17.50 per hour
  • Opportunity for follow-on internship based on performance