Description

Who We Are

For more than 25 years, Aptima's mission has been to improve and optimize performance in mission-critical, technology-intensive environments. We apply deep expertise in how humans think, learn, and perform to today's challenges. Whether for fighter pilots functioning in the cockpit, medical staff in the ICU, or teams collaborating across distributed networks, we are working to ensure synergy, enhance productivity, and accelerate learning, training, and readiness.

Our culture is rooted in our core values, which have evolved over time and our employees have embraced – Integrity, Ingenuity, Excellence, Respect, Inclusion, Teamwork. At our core, Aptima researches, develops, and innovates within an area that engineering firms largely ignore, the human component. To impact the world in meaningful ways, you must bring those innovations to light, and that is precisely what we do.

How You’ll Make An Impact

Aptima is seeking an AI Engineer Summer Intern responsible for developing and applying novel AI/ML technologies. This opportunity will involve working with a team of AI Engineers, Data Scientists, and Software Engineers to conduct state-of-the-art research and development of next generation AI applications. Responsibilities include 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, and developing interfaces for exploring and utilizing AI.

Artificial Intelligence and Machine Learning (AI/ML) methods are powerful tools for gaining insight in these settings but require careful analysis and understanding of how and when to apply them. This position will be mentored by senior scientist and engineers and offers an excellent opportunity to expand your career knowledge and gain valuable experience solving complex AI/ML problems while working in a leading-edge Research and Development environment.

Requirements

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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