Key Responsibilities:

• Research and Development: Collaborate with our research team to design, implement state-of-the-art speech recognition and speaker diarization algorithms and models.
• Algorithm Optimization: Work on optimizing existing speech recognition algorithms for enhanced accuracy, speed, and efficiency.
• Production Ready API: Work towards real-time development of speech algorithms and models.
• Stay Current: Stay updated of the latest developments in the field of speech recognition and contribute insights to enhance the team's knowledge base.

Work Location:

• Remote

Duration of the paid Internship:

• This paid internship will be for a period of 6 months starting January first week of 2026.
• 9:00 to 18:00 (Monday to Friday).

Qualification:

• Currently pursuing/completed Master's (Research) or Ph.D. in deep learning/machine learning with hands-on experience on Transformer and models with an applications audio/speech.

Must Have Skills:

• Strong programming skills in Python, shell scripting, PERL
• Hands-on deep learning, machine learning (Pytorch, Tensorflow)
• Sound knowledge of speech technologies, libraries and toolkits like ESPNET, SpeechBrain, etc.

Good to have skills:

• Expertise in PyTorch and Shell Scripting.
• Prior experience in the development of Indian Languages ASR and Speaker diarization systems
• Prior experience at publishing paper to top conferences like, ICML, AAAI, Interspeech, ICASSP.