Training • Warfighting Team Optimization • User Interface Design and Usability • Performance Measurement • Systems Analysis
December 10, 2024
Training • Warfighting Team Optimization • User Interface Design and Usability • Performance Measurement • Systems Analysis
• Developing and applying novel AI/ML technologies • Working with a team of AI Engineers, Data Scientists, and Software Engineers • Conducting state-of-the-art research and development of next generation AI applications • Researching the latest generation of AI models • Obtaining and cleaning training data sets • Developing feature encodings • Coding and implementation of machine learning methods • Analyzing and validating models with statistical techniques • Developing interfaces for exploring and utilizing AI • Mentored by senior scientist and engineers to expand your career knowledge and gain valuable experience solving complex AI/ML problems
• Strong coding skills in Python, R, MATLAB, or similar data science coding languages • Familiarity with machine learning libraries such as Scikit-learn, TensorFlow, NumPy, Pandas, PyTorch, or Keras • Familiarity with generative models, such as GPT, DALL-E, Stable Diffusion • Strong understanding of data analytic techniques and the ability to implement these approaches • Experience in obtaining, cleaning, and structuring data for model training and testing • Minimum Requirements US Citizen and/or the ability to obtain and maintain a Security Clearance • B.A./B.S. degree in a relevant engineering discipline (e.g., Mathematics, Artificial Intelligence, Computer Science, Computer Engineering, Data Science). • Current enrollment in an accredited graduate program working towards a Master's Degree or Ph.D. in a similar or related discipline is a plus, but not required • 2 years of relevant experience (including undergraduate school) developing and applying AI/ML technologies
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