Machine Learning Scientist
TLDR
Tackle real-time multi-microphone speech separation and attribution to crack the cocktail-party problem, advancing live-captioning technology.
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.
Benefits
Equity Compensation
equity opportunity
Ava is dedicated to transforming communication for the 450 million deaf and hard-of-hearing individuals by providing AI-driven live captioning solutions. Our technology dismantles barriers to conversation, making it as easy as turning on captions—thereby fostering more effective, authentic connections among all people. With a team deeply rooted in personal experience, we are committed to creating a fully accessible world where everyone can participate in dialogue.