What you do at AMD changes everything
At AMD, we push the boundaries of what is possible. We believe in changing the world for the better by driving innovation in high-performance computing, graphics, and visualization technologies building blocks for gaming, immersive platforms, and the data center.
Developing great technology takes more than talent : it takes amazing people who understand collaboration, respect, and who will go the extra mile to achieve unthinkable results.
It takes people who have the passion and desire to disrupt the status quo, push boundaries, deliver innovation, and change the world.
If you have this type of passion, we invite you to take a look at the opportunities available to come join our team.
Machine Learning / Data Science Engineer
Come help us develop and finetune our product development and engineering pipeline solution that makes sure AMD's platforms crush the competition!
Our team writes large scale infrastructure software and tools using C#, Ruby and C++ for Windows and Linux environments.
Our software is utilized during all stages of product development across multiple AMD sites and includes distributed automation processes, web applications and databases to track millions of records generated by thousands of systems.
We are constantly adapting our software development processes to manage the challenges we accept.
Join us, if you are passionate about solving problems and working with the latest technologies, both hardware and software! We are looking for a Data Scientist who will support our engineering, validation, QA, release management and leadership teams with insights gained from analyzing data generated across the whole product development pipeline.
Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products.
Your Key Responsibilities
Preferred Experience and Skills
The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action.
They must have strong experience using a variety of data mining / data analysis methods, using a variety of data tools, building and implementing models, using / creating algorithms and creating / running simulations.
They must have a proven ability to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams.
The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.
and experience with applications.