Description
Silvus Technologies is hiring a Machine Learning Engineer to report to the R&D Director, Machine Learning, and apply machine learning and data-driven techniques to improve MIMO radios and wireless networking systems. The role involves developing algorithms for link adaptation, interference mitigation, anomaly detection, and spectrum sensing; analyzing RF datasets; integrating models with radio firmware and networking stacks; building data pipelines; and benchmarking performance. The position is based in West Los Angeles, California, on a hybrid schedule requiring at least three onsite days per week, and offers a CA pay range of $100,000 to $140,000 USD.
