Machine Learning Engineer
Tasks
- Analyze radio frequency datasets and develop predictive models
- Benchmark models and perform iterative improvements
- Collaborate to define machine learning use cases and evaluate model impact
- Design data pipelines for training testing and validation
- Develop software prototypes and integrate machine learning with radio firmware
- Research design and implement machine learning algorithms for wireless communication systems
- Stay current with machine learning research for wireless and embedded systems
Perks/Benefits
Skills/Tech-stack
Adaptive modulation | Anomaly Detection | Beamforming | C++ | Cognitive radio | Data Engineering | Data pipeline | GPU Acceleration | MATLAB | MIMO | Machine Learning | Model Optimization | OFDM | PyTorch | Python | SDR | Scikit-learn | Signal Classification | Signal Processing | Spectrum sensing | Statistical modeling | Supervised Learning | TensorFlow | Unsupervised Learning
Education
Regions
Countries
States
Cities
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