Join our Team
About This Opportunity
You will apply cutting-edge machine learning techniques to real-world problems in wireless communication and intelligent networks. This internship offers practical experience in model development, experimentation, and deployment within a collaborative engineering team.
What You Will Do
- Design, develop, and optimize AI/ML models for communication and network applications.
- Collect, preprocess, and analyze datasets for model training and evaluation.
- Conduct experiments, validate model performance, and visualize results.
- Implement and test algorithms in areas such as deep learning, reinforcement learning, and data-driven optimization.
- Collaborate with cross-functional teams to integrate AI solutions into existing systems.
- Document progress and contribute to internal knowledge sharing.
- Continuously improve model performance and development efficiency.
The Skills You Bring
- Master's degree (or above) in Computer Science, Data Science, Electronic Engineering, or a related field.
- Knowledge of heterogeneous computing, FPGA design, or hardware acceleration techniques.
- Proficiency in Python and ML libraries such as NumPy, pandas, and scikit-learn.
- Experience with deep learning frameworks (e.g., PyTorch, TensorFlow).
- Strong grasp of ML principles: data preprocessing, model evaluation, hyperparameter tuning.
- Solid foundation in statistics, linear algebra, and probability.
- Familiarity with version control tools (e.g., Git) and clean coding practices.
- Strong analytical, problem-solving, and teamwork skills.
- Clear communication and documentation abilities.