The Intel AI and Analytics organization has an opportunity for an AI frameworks engineer, who will design, develop, and build tools to ease data scientist workflows. This is an opportunity to create tools to minimize bias and speed up training using transfer learning. Work on end-to-end ML pipelines from data processing, cleaning, labeling, training, optimizing, inferencing, retraining, and serving. Investigate the latest research in these areas and apply it to real world products that benefit our customers. An ideal candidate will have behavioral skills that indicate an analytical approach coupled with solid communication skills and a sense of ownership.

Qualifications

You must possess the below requirements to be initially considered for this position. Preferred qualifications are in addition to the requirements and are considered a plus factor in identifying top candidates.

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 + 8years of experience OR Master's + 5 years of experience OR Ph.D. + 2 years of experience 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)

Experience should be 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.