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Machine Learning Scientist

2 months ago


Toronto, Ontario, Canada Extreme Networks Full time
Unlock the Power of Machine Learning with Extreme Networks

At Extreme Networks, we're pushing the boundaries of technology to create revolutionary networking experiences. We're seeking a talented Machine Learning Scientist to join our Core Modelling Team and contribute to our mission of accelerating digital transformation efforts.

Key Responsibilities:
  • Develop innovative machine learning models for network optimization, prediction, and troubleshooting
  • Apply expertise in Graph ML, Classic ML, Deep Learning, Causality, and Optimization techniques
  • Conduct research to develop models and validate their feasibility, performance, and relevance
  • Ensure interpretability and usability of models for network optimization and troubleshooting
Requirements:
  • 5+ years of experience as a Data Scientist, Machine Learning Developer, or similar role
  • At least 2 years of experience building ML Systems
  • PhD or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field
  • Expertise in Graph ML, Classic ML, Deep Learning, Causality, and Optimization techniques
  • Proficiency in Python and experience with libraries such as TensorFlow, PyTorch, Scikit-learn, and Dask
Desired Qualities:
  • Experience with networks is a significant asset
  • Experience with graph databases, specifically Neo4j, for network topology and service modelling is a significant asset

We're looking for a Machine Learning Scientist who is passionate about pushing the boundaries of what's possible. If you're driven by curiosity, love problem-solving, and want to make a significant impact on a revolutionary project, we'd love to hear from you.