Machine Learning Engineer - Speech

Description:

Job Brief

Kanari AI is a leading provider of end-to-end solutions for dialectal Arabic speech recognition and natural language processing (NLP). We are seeking a highly motivated and talented Machine Learning Engineer to join our team. Our dialectal Arabic speech and natural language processing pipelines are supported by our research in INTERSPEECH, ICASSP, and ACM. Our streaming and offline speech and language applications are currently being used by customers worldwide.

The Role

We are looking for talented speech and machine-learning engineers to work on cutting-edge speech technologies spanning from ideation to productization. Successful candidates are expected to design, experiment, and build model prototypes. Ideal candidates must have excellent programming skills with hands-on experience in machine learning.

Our team conducts leading applied research focused on large-scale speech and language computing challenges. We offer unique opportunities for a strong career spanning various applied research challenges in language technologies. Candidates must be able to work both independently and cooperatively with others and need to have good communication and writing skills. Previous experience with deep learning, unsupervised, and self-supervised techniques are a plus.

Skills Required

• 3+ years of experience working with speech processing pipelines, such as Kaldi, ESPNET, SpeechBrain and Pytorch frameworks
• Excellent experience in python and Shell scripts. Good C++ experience.
• Good understating of speech and signal processing
• Familiarity with large-scale data processing and distributed systems
• Self-directed and likes moving fast
• Ability to get this done