Python Job: Machine Learning Engineer (f-m-d)

Intel oneAPI Data Analytics Library (oneDAL) team is looking for a Machine Learning Engineer. oneDAL is a powerful library for data scientists that turns large data clusters into meaningful information with advanced analytics algorithms.

You will have a unique opportunity to work in the most promising and rapidly developing area of artificial intelligence and big data analytics and be one of the first who can observe how new technologies change the world around us. In this role you will be responsible for development and integration Machine Learning algorithms into Frameworks, collection and analysis of trends in machine learning, participate in communication with customers. The team of professionals will be glad to bring you onboard and help you to learn new technologies, gain programming skills in the area of machine learning and data analytics.

You will become part of a company which continues to change the world through its brilliant people. To reward the amazing contributions of our people we offer a market competitive compensation and benefits package including plenty of family and flexible work benefits (i.e. the opportunity for part time home office work), programs that focus on your health and wellbeing, many development opportunities and enough time to relax, re-charge and retreat.

We believe in flexible working models. Intel is an equal opportunity employer.

Qualifications

Minimum qualifications are required to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.

Minimum Qualifications:
Experience in C++(main language)/Python languages
Major in mathematics, statistics, or data science
Basic practical experience in machine learning/data science

The following qualifications would be an added advantage:
Knowledge of Windows and Linux development environment
Knowledge of Intel development tools and libraries
Knowledge of development on GPU

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.