Batvoice is a voice technology company with a strong focus on research and development.

The core technology is built internally: speech recognition, NLU, social signal processing, affective computing and predictive modeling.

As an intern, you will get to work on large, real-world datasets widely varying in content and structure: audio recordings, semi-structured text corpora and tabular data.
You will survey primary literature, build and run models, and collaborate with fellow engineers and data scientists in a friendly atmosphere.

Batvoice provides the necessary appropriate and flexible infrastructure for computing.

You will be encouraged to propose solutions and work autonomously.
This internship could lead to a publication and/or deployment in production.
Satisfactory completion of the internship will lead to a permanent hire.

Required skills:

• Master student or equivalent in scientific, mathematical or engineering domain.
• Strong knowledge in machine learning and statistics.
• Some programming experience (Python, C, C++, etc.).
• Working proficiency in English.
• Curiosity and motivation.
• Autonomy and initiative

Optional skills:

• Experience with a deep learning framework (Caffe, Tensorflow)
• Experience in applied machine learning techniques for natural language processing or speech processing.

• 1. Online quizz.
• 1. 45” meeting to dive into technical topics throughout discussions.
• 1. 45” HR meeting.

Note: the process takes from 15 to 30 days.