Senior Machine Learning Engineer
San DiegoLast seen 4 days ago
Summary
Design and develop advanced machine learning models for automotive radar signal processing, including end-to-end ML pipelines from data preprocessing through model training, validation, and performance optimization. Evaluate novel deep learning architectures (CNNs, RNNs, Transformers) for radar data analysis and optimize models for real-time embedded deployment under latency, memory, and power constraints. Bridge research and production by translating state-of-the-art ML techniques into scalable algorithms for radar-based detection, classification, and tracking, with strong requirements in signal processing, statistical analysis, and Python/PyTorch/TensorFlow proficiency.
Data ScienceDevOps / InfrastructureAWSMachine LearningPythonAIApplied MathematicsCnnData AugmentationData PreprocessingDeep LearningFeature ExtractionFrequency Domain AnalysisGoogle ColabModel TrainingModel ValidationNumpyPandasPerformance OptimizationPyTorchRadar Signal ProcessingRange DopplerRnnScipySensor Data AnalysisSignal ProcessingStatisticsTensorFlowTime Domain AnalysisTransformer