**Qualifications**Experience listed below would be obtained through a combination of your schoolwork and/or classes and/or research and/or relevant previous job and/or internship experiences**Minimum Qualifications**:Bachelor or Master degree in Computer Science, Data Science, Human Factors Engineering, Software Engineering, Mathematics, Computational Science, Cognitive Science or a related technical discipline ("Cedula Profesional" may be required) and be knowledgeable (3+ months of experience) in the below areas:- Machine learning, data mining, and information retrieval or natural language processing- Machine learning and deep learning algorithms- Software tools and libraries design- Algorithms and data structures- Python, C and/or C++- Software development on Linux- Diagnose technical problems, debug code, and automate routine tasks**Preferred qualifications**:- Experience with AI frameworks like TensorFlow and PyTorch- Expertise in probability distributions, hypothesis testing, and regularization- Agile software development- Linux development tools**Inside this Business Group**The Machine Learning Performance (MLP) division is at the leading edge of the AI revolution at Intel, covering the full stack from applied ML to ML / DL and data analytics frameworks, to Intel oneAPI AI libraries, and CPU/GPU HW/SW co-design for AI acceleration. It is an organization with a strong technical atmosphere, innovation, friendly team-work spirit, and engineers with diverse backgrounds. The Deep Learning Frameworks and Libraries (DLFL) department is responsible for optimizing leading DL frameworks on Intel platforms. We also develop the popular oneAPI Deep Neural Network Library (oneDNN), and new oneDNN Graph library. Our goal is to lead in Deep Learning performance for both the CPU and GPU. We work closely with other Intel business units and industrial partners.**Work Model for this Role**This role will require an on-site presence.