RF Machine Learning Development Engineer
4 days ago
Dedrone is seeking an exceptional intern to join our team as an RF Machine Learning Development Engineer. In this role, you will work closely with experienced engineers to develop innovative solutions for detecting, tracking, identifying, analyzing, and mitigating drone threats.
Job RequirementsThis position requires:
- Pursuing a degree in Electrical Engineering, Computer Science, or a related field.
- Basic proficiency in Python and C++, with familiarity using libraries like NumPy and SciPy.
- Understanding of deep learning frameworks such as PyTorch or TensorFlow is a plus.
- Introductory knowledge of DSP techniques (including frequency domain analysis) and their applications.
Responsibilities will include:
- Developing and optimizing DSP algorithms for tasks such as filtering, modulation, frequency domain analysis.
- Supporting the research and implementation of ML models for signal classification and anomaly detection.
- Helping to implement AI solutions using frameworks like PyTorch, TensorFlow, or Keras.
- Participating in managing ML pipelines for model development and tracking.
As an RF Machine Learning Development Engineer at Dedrone, you can expect:
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