Artificial Intelligence / Machine Learning Internship, Dedrone

Summary

Dedrone is the world’s most trusted smart airspace security company. They are seeking motivated interns passionate about Artificial Intelligence and Machine Learning to develop and implement innovative solutions that enhance drone detection capabilities.

Responsibilities

• 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

Skills

• 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
• 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

Qualifications

Must Haves

• 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

Nice to Haves

• 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

Benefits

• 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.