Machine Learning Scientist
At a glance
Mid-level AI Research role at Ava. Paris · full-time.
Pay not stated AI Research salary
aimlroles summary, based on the employer's posting.
What you'll do
- Develop real-time voice recognition that can distinguish speakers and their words in busy conversations
- Work with microphone-array signals to identify sound sources, separate voices and recognize speech
- Use microphone calibration and speaker recognition techniques to make conversation audio easier to interpret
What you bring
- You have more than three years of machine learning research experience, including deep learning
- Experience in speaker identification, speech recognition, NLP, acoustic or language modeling, or source separation is a plus
Who this fits
This role suits a machine learning researcher who is persistent, open-minded and collaborative, and wants to tackle speech recognition in real-world conditions. The job is based onsite at the Paris office.
From the employer
We want to radically improve how we humans communicate with each other. Our first step at Ava is to empower 450M deaf and hard-of-hearing people to live in a fully accessible world.
Every day, millions of people are excluded from conversations because they cannot hear what others say well. Our CEO Thibault grew up in a Deaf family & witnessed firsthand how the world was not accessible for them. Together with our CTO Skinner — deaf since age 2 — Thibault co-founded Ava to make live captioning of conversations as easy as turning on captions on TV.
Our small but fast-growing team has reinvented AI-based speech recognition technology to be in service of people who need it the most. We dream of a 24/7 accessible world, without any communication barrier.
In this pursuit, we're seeing how critical communication skills are, yet very far from ideal, to unleash our collective potential. This is for us the last barrier to be lifted.
Our belief is that well-designed technology can help everyone communicate and connect better — much more effectively and authentically — so humanity can achieve the greatest things together.
We want to make the seemingly impossible equation of collaboration 1 + 1 = 3, work every time. In other words, make 1 & 1 = 3 a reality.
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.