Speaker Identification Maverick (Applied Research) 

 ASR research is sadly mostly largely done in big companies. Sure, talent is around, but it's really only in a less crowded space that you can really shine and see the impact that you can do. A.K.A. an early-stage startup, when you’re still a group of friends with a crazy ambition to change the world. 
 Here’s what drives us nuts: Products where ASR is really the key component are 99% of the time made for: *answering quick/superficial requests from lazy users (Siri, Google Now, Cortana, Echo) *dealing with angry customers on the phone (all the IVRs) *dictating emails for busy people (Nuance)
 What if you could truly change 400M lives instead? Turn a lifetime of frustration into a deep connection?
 Ava aims at captioning the world to make it fully accessible, 24/7, to deaf & hard-of-hearing people. Mobile-first, the app is the fastest & most advanced captioning system in the world, beating what tech giants have done, by cleverly using speech and speaker identification technologies to make conversations between deaf & hard-of-hearing people and hearing people possible.
 At Ava, the CEO is the only hearing person in a family of deaf people, and the CTO is deaf and non-speaking - both were Forbes 30 under 30 2017. We use our ASR-based product everyday to communicate. Our motivations are aligned with the change we want to make in the world. We care about the millions of people out there who struggle everyday to just have a social & professional life and that YOUR tech will help. If it wasn't for Ava, the next best solution would take 10X time (it's not a solution) or 100X cost (it's not accessible to all). We’re working with companies such as GE, Nike, Salesforce, but also universities, stores, and even churches to fulfill our mission to make the world truly accessible.
 What we need to get to the next level? You - someone with prior research exposure to speaker identification (deep learning interest/experience is a big plus). The core of your mission will be to reinvent what voice recognition can do to understand real world conversations: crack the cocktail-party problem.
 Interested to learn more about it? Let’s chat.
Especially if:

● You just finished a PhD in Machine 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.

What we offer

● Early-stage -> massive equity opportunity.

● An opportunity to apply cutting-edge technologies to solve real world problems, right now

● Competitive salary The job will be based in our Paris office.

Interested? Let us know at alex@ava.me.