Why We Exist

The Indian internet has exploded. Over half a billion Indians will be online before the end of this year. Most of these Indians will prefer using their own language online. And next to nobody is building solutions for them. They

are prevented from using the internet to its fullest potential because English forms a language barrier. Whenever they visit a site or app, they are met with a wall of text in a language that they do not understand. We at Reverie believe in language equality on the internet. It’s what drives us and gives what we do meaning. Language equality basically means that every Indian should enjoy the same range of options and experiences online in their own language that an English speaker does online.

What We Do

We take immense pride in the fact that we tackle some of the most complex and impactful problems Indian language users currently face today. We’re working towards our mission of language equality by building a full stack of language technologies and solutions, spanning fonts, font rendering, transliteration, translation, app & website localization in real-time, Indian language input (check out our Swalekh keypad on the App Store here), Indian language voice assistants, and Indic search, to empower the Indian language user and let them tap into the possibilities the internet offers them.

As a Speech Engineer you will be responsible for development of the speech recognition systems.

Responsibilities
• Development of ASR systems using Kaldi, ESPnet and/or using PyTorch or Tensorflow.
• Experimenting with the latest technologies and architectures.
• Work towards improvement of the existing systems.

Requirements
• 2-3 Years of work experience.
• At least 1 years of hands-on experience developing Speech Recognition systems using Kaldi, ESPNET, PyTorch Kaldi, DeepSpeech etc.
• Strong programming experience in Python and/or C/C++.
• Strong analytical skills and problem solving skills.
• Basic understanding of machine learning techniques.

Good To Have
• Understanding of Pandas, Numpy.
• Understanding of NLU systems.
• Understanding of Language modeling techniques