Senior Machine Learning Engineer

April 26

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Switching • Wireless • Security • Cloud Management • Network Management

1001 - 5000

Description

• 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. • Develop and utilize 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. • Transform 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. • 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. • Communicating the progress, challenges, and needs during the model development process to the Engineering Program Manager.

Requirements

• PhD or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field. • 5+ years of proven experience as a Data Scientist, Machine Learning Developer or similar role. At least 2 years of experience building ML Systems. • 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.

Benefits

• 11 paid holidays • Generous Accrued Time Off increasing with years of service • Generous paid sick time • Annual day of service