Machine Learning Engineer
2 days ago
Extreme Networks, Inc. is seeking a talented Machine Learning Scientist to join our Core Modelling Team. As a key member of our team, you will work on cutting-edge projects to optimize network planning, design, security, operations, and support through real-time event detection, future occurrence prediction, scenario planning, and configuration optimization.
Key Responsibilities:- Develop innovative machine learning models for network optimization, prediction, and troubleshooting.
- Apply expertise in Graph ML, Classic ML (regression/classification), Deep Learning, Causality, and Optimization techniques.
- Develop and utilize mathematical models to solve complex network problems.
- Conduct research to develop models and validate their feasibility, performance, and relevance.
- Ensure interpretability and usability of the models for network optimization and troubleshooting.
- Transform validated models into modular features, ensuring they meet the set engineering criteria.
- Participate in the iterative process of model development, including framing problems, developing hypotheses, designing and conducting experiments, and synthesizing findings.
- Develop and execute automated tests to ensure the quality, functionality, and compatibility of new features.
- Work closely with the Engineering Team to address any issues or concerns during the integration process.
- Communicate the progress, challenges, and needs during the model development process to the Engineering Program Manager.
- 5+ years of proven 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.
- Solid understanding of machine learning principles, algorithms, and applications.
- Expertise in Graph ML, Classic ML (regression/classification), Deep Learning, Causality, and Optimization techniques.
- Proficiency in Python and experience with libraries such as TensorFlow, PyTorch, Scikit-learn, and Dask.
- Experience with distributed machine learning and proficiency in using Dask for parallel computing.
- Excellent understanding of data structures and data modeling.
- Experience with networks is a significant asset.
- Experience with graph databases, specifically Neo4j, for network topology and service modelling is a significant asset.
- Maintains a startup mindset, thriving in a dynamic, fast-paced environment, and contributing positively to team energy.
We are looking for a Machine Learning Scientist who is passionate about pushing the boundaries of what is 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.
Extreme Networks, Inc. creates effortless networking experiences that enable all of us to advance. We push the boundaries of technology leveraging the powers of machine learning, artificial intelligence, analytics, and automation. Over 50,000 customers globally trust our end-to-end, cloud-driven networking solutions and rely on our top-rated services and support to accelerate their digital transformation efforts and deliver progress like never before. For more information, visit Extreme's website or follow us on Twitter, LinkedIn, and Facebook.
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