
Artificial Intelligence / Machine Learning Internship, Dedrone
DedroneSterling, VA
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Job Description
Dedrone is seeking motivated interns passionate about Artificial Intelligence and Machine Learning. In this role, you'll collaborate closely with experienced engineers and data scientists to develop and implement innovative solutions, enhancing drone detection capabilities and integrating advanced analytics into our products.
What You'll Do
- Assist in research, development, and implementation of AI/ML algorithms for tasks such as classification, object detection, anomaly detection, and predictive analytics.
- Help build, train, and deploy machine learning models using frameworks like PyTorch, TensorFlow, or Keras.
- Support the management and improvement of ML pipelines for efficient model training and evaluation.
- Collaborate in optimizing algorithms and models for GPU acceleration using CUDA.
- Contribute to software development primarily in Python, with opportunities to utilize C++.
- Engage in exploratory research to identify new AI/ML techniques applicable to Dedrone's product suite.
- Work within multidisciplinary teams to deliver robust and innovative AI-driven solutions.
Qualifications
- Currently pursuing a degree in Computer Science, Electrical Engineering, Data Science, or related fields.
- Proficiency in Python and familiarity with AI/ML libraries (e.g., NumPy, SciPy, PyTorch, TensorFlow, or Keras).
- Basic understanding of machine learning principles and practices, including neural networks and deep learning.
- Enthusiasm and willingness to learn and apply new AI/ML technologies and methodologies.
Preferred Qualifications (Bonus)
- Familiarity with Digital Signal Processing (DSP), RF signal processing, or related areas.
- Experience with statistical modeling, data analysis techniques, or predictive analytics.
- Interest or experience in neural network architectures specifically relevant to signal processing tasks.
What We Offer
- Hands-on experience in cutting-edge AI/ML projects impacting global security.
- A collaborative, innovation-focused environment encouraging continuous learning and growth.
- Competitive compensation and dedicated professional development opportunities.
- The opportunity to contribute meaningfully and shape the future of smart airspace security solutions.
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