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Machine Learning Engineer

2 months ago


Canada Advanced Micro Devices Full time
Unlock the Power of Machine Learning with AMD

We're seeking a highly motivated Machine Learning (ML) / Artificial Intelligence (AI) professional to join our team and contribute to the development of next-generation product differentiation features. As an ML/AI intern/co-op, you'll have the opportunity to work alongside our team of extraordinary engineers and learn innovative new technologies in Machine Learning, AI, and High Performance Compute.

What You'll Be Doing:
  • Participate in research and development of next-generation product differentiation features with our ML/AI team.
  • Learn and implement machine learning techniques to build applications for source code analysis and Image Corruption Detection.
  • Research, develop, and deploy machine learning-based and computer vision products on AMD's current and future products.
  • Support AI software teams with roadmap planning, collateral development, and customer engagements.
What We're Looking For:
  • 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.
  • Deep learning/AI framework like PyTorch, TensorFlow, Caffe, etc.
Why Join AMD?

At AMD, we're passionate about transforming lives with our technology. Our mission is to build great products that accelerate next-generation computing experiences. We're a diverse and inclusive team that values collaboration, execution excellence, and innovation. As an intern/co-op, you'll have the opportunity to work on cutting-edge projects, receive one-on-one mentorship, and attend amazing networking events.

We're an equal opportunity employer and welcome applications from all qualified candidates. We're committed to creating an inclusive and diverse work environment that reflects the communities we serve.