Machine Learning Engineer

6 hours ago


Canada Advanced Micro Devices Full time
Transforming Lives with AMD Technology

We are passionate about harnessing the power of Machine Learning to drive innovation and excellence in our industry, communities, and the world.

Our mission is to create cutting-edge products that accelerate next-generation computing experiences, empowering the building blocks for the data center, artificial intelligence, PCs, gaming, and embedded systems.

We push the boundaries of innovation to tackle the world's most pressing challenges, and we're seeking a highly motivated Machine Learning/AI intern/co-op to join our team and contribute to the research and development of next-generation product differentiation features.

As a member of our team, you will have the opportunity to collaborate with AMD leaders, receive one-on-one mentorship, attend networking events, and gain hands-on experience with innovative new technologies in Machine Learning, AI, and High Performance Compute.

Key Responsibilities:

  • Work on machine learning techniques to build applications for source code analysis and Image Corruption Detection.
  • Research, development, and deployment in machine learning-based and computer vision products on AMD's current and future products.
  • Fixing and addressing problems with deployed AI to improve user experience.
  • Support AI software teams with roadmap planning, collateral development, and customer engagements.

Requirements:

  • Currently enrolled in a Canada-based University in a bachelor's degree program majoring in computer science, computer engineering, data science/analytics, or a related field.
  • Knowledge/experience with machine learning, data science, computer vision, statistics, and mathematics.
  • Programming skills in Python, C/C++.
  • Relational (SQL) and no-SQL databases.
  • Machine learning algorithms and frameworks.

We are an equal opportunity, inclusive employer and welcome applications from all qualified candidates. We will accommodate applicants' needs under the respective laws throughout all stages of the recruitment and selection process.



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