Machine Learning Engineer
Tasks
- Analyze RF datasets develop predictive models
- Collaborate define ML use cases and evaluate model impact
- Design data pipelines for training testing validating models
- Develop software prototypes integrate ML with radio firmware and networking stack
- Perform performance benchmarking and iterative improvement
- Research design implement machine learning algorithms for wireless communication systems
- Stay current with machine learning research for wireless embedded systems
Perks/Benefits
- 401k company match
- Employee stock purchase plan
- Medical/Dental/Vision
- Paid Holidays
- Paid parental & family leave
- Paid time off
Skills/Tech-stack
3GPP | Adaptive modulation | Anomaly Detection | Beamforming | C++ | Cognitive radio | Data pipeline | Edge Computing | Embedded Machine Learning | GPU Acceleration | IEEE 80211 | IEEE 80215 | MATLAB | MIMO | Machine Learning | Model Optimization | OFDM | PyTorch | Python | Real Time | Real-time Systems | Scikit-learn | Signal Processing | Spectrum sensing | Statistical modeling | Supervised Learning | TensorFlow | Time Systems | Unsupervised Learning | Wireless Communication
Education
Regions
Countries
States
Cities
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