AI Intern
Content + Source + Freshness • 13 Feb 2026 • 95% confidence
Offer value
This internship offers valuable experience in AI development and a chance to engage in impactful projects while being part of a renowned telecommunications company.
- Internship with real-world applications in AI
- Exposure to multinational corporate environment
- Strict criteria for candidates offer significant learning opportunities
- No defined salary information listed
Pros
- Hands-on experience with cutting-edge AI technologies
- Opportunity to work within a multinational corporation (Ericsson)
- Exposure to real-world AI applications in telecommunications
Cons
- Internship may not offer a defined salary range
- Highly competitive environment may be stressful
- Limited scope for remote work options
Who it's for
Undergraduate or Graduate Student • On-site (Beijing)
Good fit
- Undergraduates or graduate students focusing on AI development
- Individuals passionate about telecommunications technology
- Candidates eager for hands-on practical experience
Not recommended for
- Candidates without relevant technical background
- Those expecting remote work setups
- Individuals uncertain about adapting in a collaborative environment
Motivation fit
Key skills
About the job
Join our Team
Role Overview:
As an AI Development Intern, you will work closely with our Beijing R&D team to support the design, development, and implementation of AI models and algorithms. You will gain hands-on experience with state-of-the-art technologies and have the opportunity to contribute to impactful projects that have real-world applications in telecommunications.
Qualifications:
- Currently pursuing a degree in Computer Science, Engineering, Mathematics, or a related field.
- Basic understanding of machine learning concepts and algorithms.
- Proficiency in programming languages such as Python or R.
- Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch) is a plus.
- Strong analytical and problem-solving skills.
- Excellent communication and teamwork abilities.
- Eagerness to learn and adapt in a fast-paced environment.
Preferred Qualifications:
- Experience with data analysis and visualization tools.
- Knowledge of deep learning techniques and neural networks.
- Previous experience with AI projects or coursework.
