RF Machine Learning Internship, Dedrone

Dedrone-posted 7 months ago
Intern
Sterling, VA
51-100 employees
Transportation Equipment Manufacturing
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We are seeking a motivated intern with a foundational understanding of digital signal processing (DSP) and machine learning (ML) to assist in developing innovative solutions across various applications. In this role, you will collaborate with experienced engineers to research, develop, and implement algorithms that tackle real-world challenges, enhance our systems, and integrate new capabilities into our products.

  • Assist in developing and optimizing DSP algorithms (e.g., filtering, modulation, frequency domain analysis).
  • Support research and implementation of ML models for tasks such as signal classification and anomaly detection.
  • Help implement AI solutions using frameworks like PyTorch, TensorFlow, or Keras.
  • Participate in managing ML pipelines for model development and tracking.
  • Aid in optimizing algorithms for GPU-accelerated computing using CUDA.
  • Contribute to software development using Python and C++.
  • Conduct research on new techniques in DSP and ML, applying findings to support ongoing projects.
  • Collaborate with multidisciplinary teams to develop robust solutions.
  • 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.
  • Willingness to learn and adapt to new technologies and methodologies.
  • Familiarity with RF signal processing is a plus.
  • Experience with data analysis techniques and statistical modeling.
  • Interest in neural architectures relevant to signal processing tasks.
  • Hands-on experience working on innovative projects in DSP and AI technologies.
  • A culture of continuous learning where research and exploration are encouraged.
  • Competitive compensation and professional development opportunities.
  • A collaborative environment where your contributions will help shape the future of DSP and ML.
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