Principal/Staff/Senior Machine Learning Engineer – Remote US (9278) at Extreme Networks Full Time

Responsibilities:

• Developing innovative machine learning models for network optimization, prediction, and troubleshooting.
• Applying expertise in Graph ML, Classic ML (regression/classification), Deep Learning, Causality, and Optimization techniques.
• Developing and utilizing mathematical models to solve complex network problems.
• Conducting research to develop models and validate their feasibility, performance, and relevance.
• Ensuring interpretability and usability of the models for network optimization and troubleshooting.
• Transforming validated models into modular features, ensuring they meet the set engineering criteria.
• Participating in the iterative process of model development, including framing problems, developing hypotheses, designing and conducting experiments, and synthesizing findings.
• Developing and executing automated tests to ensure the quality, functionality, and compatibility of new features.
• Working closely with the Engineering Team to address any issues or concerns during the integration process.
• Communicating the progress, challenges, and needs during the model development process to the Engineering Program Manager.

Requirements:

• 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, data modeling.
• Excellent problem-solving skills, attention to detail, and ability to work in a team-oriented environment.
• Strong communication skills to effectively collaborate with team members and report to management.

Desired Qualities:

• Experience with networks is a significant asset.
• Experience with graph databases, specifically Neo4j, for network topology and service modeling is a significant asset.
• Demonstrates a ‘can-do’ attitude, always seeking innovative solutions, and pushing boundaries.
• Maintains a startup mindset, thriving in a dynamic, fast-paced environment, and contributing positively to team energy.
• Understands that the goal is not to use the most complex algorithm but to bring real value to our users.