AI/ML Engineer Student Intern
Role summary
LangPal is seeking a remote AI/ML Engineer Student Intern to assist in developing, testing, and refining machine learning models for its AI-powered language learning platform. The intern will implement neural networks, analyze and improve pattern recognition, and collaborate with the team on scalable solutions for personalization and adaptive learning. This unpaid internship requires a strong understanding of Computer Science principles, Statistics, Algorithms, Pattern Recognition, and Neural Networks, along with familiarity with machine learning tools. The ideal candidate is currently pursuing a degree in a related field and is a fast, adaptable worker with problem-solving skills.
Company Description
LangPal is an AI-powered platform revolutionizing language learning by focusing on real-world communication skills through immersive, conversation-based practice. Utilizing advanced artificial intelligence, LangPal simulates natural conversations across diverse scenarios, providing users with personalized and adaptive learning experiences. The platform delivers instant feedback on pronunciation, grammar, vocabulary, and fluency, enabling users to improve quickly and effectively. Designed to bridge the gap between learning and practical application, LangPal caters to learners of all levels and is poised to make language education globally accessible, engaging, and efficient.
Role Description
This is an unpaid remote internship role for an AI/ML Engineer Student Intern. The selected candidate will assist in developing, testing, and refining machine learning models and algorithms to enhance the platform’s conversation-based language learning experience. Responsibilities include implementing neural networks, analyzing and improving pattern recognition processes, and collaborating with a team of developers and data scientists. The intern will also support the research and development of scalable solutions to improve the platform’s personalization and adaptive learning capabilities.
Qualifications
- Must be a fast worker and adaptable
- Strong understanding of Pattern Recognition and Neural Networks
- Proficiency in Computer Science principles and Statistics
- Familiarity with Algorithms and their applicability to real-world problems
- Demonstrated ability to work with machine learning concepts and tools
- Effective problem-solving skills and attention to detail
- Currently enrolled in a degree program related to Computer Science, Artificial Intelligence, or a similar field
- Previous experience in machine learning projects or coursework is a plus