Speech Processing (Arabic) (Internship)

Company Description

Aralects is developing a gamified, self-paced app focused on teaching Arabic dialects like Egyptian, Lebanese, and Emirati to enhance real-world conversational skills. Personalized learning pathways powered by AI aim to make language learning more engaging and accessible. The company is committed to creating a culturally immersive platform for mastering Arabic dialects, catering to a wide audience for professional growth or personal interest.

Role Description

This is a part-time (or full-time if possible) remote role for a Speech Processing (NLP) Intern at Aralects, and will give the intern the opportunity to be supervised by field experts, add interesting work experience to their CV, and be part of a wonderful team that is committed to creating a killer product!

We are seeking a highly motivated intern with experience in both Arabic NLP, Deep Learning, and preferably experience developing speech models. In this role, the intern will be supervised by a speech scientist, conduct literature review of the state-of-the-art, conduct small experiments, and generally, help with development of speech (text-to-speech and speech-to-text) models.

The ideal candidate has experience in modern Python (specifically, with the PyTorch library), Arabic NLP,  speech processing, and is passionate about clean and scalable code.

Key Responsibilities

• Be supervised by the lead speech scientist in running experiments, and maintaining a speech processing pipeline.
• Conduct some research to determine deep learning best practices in speech processing.
• Collaborate with the software development team to integrate code into the Aralects codebase.

Qualifications

• 1+ years of experience in Arabic NLP and PyTorch in Python.
• Optimally has some research experience (familiarity with deep learning and/or Arabic NLP research).
• Preferably has speech processing experience.
• Is currently working towards a Bachelors or Masters degree in Computational Linguistics, Machine Learning or AI Engineering, Computer Science, or any related field.

Terms and Compensation

This internship starts as soon as an agreement between the startup and the intern is reached, and it is unpaid for the first two months, pending a satisfying outcome and a smooth relationship, taking into account that we are still an early-stage startup. This is an open internship that is project-based, and if the intern is successful with the first few tasks, then the potential for compensation and even future collaboration will be greatly increased.