About this role
What you'll be doing:
The core of your mission will be to reinvent what voice recognition can do to understand real-world conversations: crack the cocktail-party problem.
The signal is acquired via an array of ad-hoc microphones, and is processed to guess who says what, using a set of techniques: source localization, voice recognition, microphone calibration, speech recognition, source separation… all in real-time.
What we offer:
An opportunity to apply cutting-edge technologies to solve real world problems, right now.Empowering and fast-paced working environment.Competitive salary and equity opportunity.The job will be based in our Paris office.
You have > 3 years of research experience in Machine Learning (including Deep Learning).Experience in Speaker Identification, ASR, NLP, acoustic modeling, language models or source separation is a plus.You ambition to be a pioneer in the field, and do what is necessary to make things work in real world situations.You're of the persistent, yet open-minded and collaborative type: you reason by independent thinking first, but you know that together, we're stronger. All your information will be kept confidential according to EEO guidelines.