Description:
We are seeking a highly motivated Artificial Intelligence Intern with expertise in Python/C/C++, compiler construction, and Classical machine learning algorithms.This internship provides an exciting opportunity to contribute to cutting-edge machine learning research while gaining hands-on experience in algorithm development, optimization, and implementation.
Responsibilities:
- Develop and optimize classical machine learning algorithms using Python/ C/C++.
- Work on compiler construction and optimization for ML workloads.
- Implement, test, and evaluate machine learning models for various applications.
- Collaborate with cross-functional teams on algorithm design and system integration.
- Analyze and optimize computational performance, ensuring efficiency and scalability.
- Document research findings, implementation details, and experimental results.
Required Qualifications:
- Pursuing or recently completed a Bachelor’s, Master’s, or Ph.D. in Computer Science, Electrical Engineering, Mathematics, or a related field.
- Strong programming skills in C/C++ and experience with compiler construction.
- Solid understanding of classical machine learning algorithms (e.g., decision trees, SVMs, clustering, PCA).
- Experience with Government or DoD projects will be a plus.
- Knowledge of numerical optimization and high-performance computing techniques.
- Familiarity with parallel computing, LLVM, or other compiler frameworks is a plus.
- Strong problem-solving skills and ability to work independently or in a team environment.