Role: Research Scientist (VoiceAI)

Location: Toulouse, Paris, Remote

Job type: Full-time

Work setup: On-Site, Hybrid, Remote

Start: ASAP

Job offer

About pyannoteAI

pyannoteAI is pioneering Speaker Intelligence AI, transforming how AI processes and understands spoken language. Our speaker diarization technology distinguishes speakers with unmatched precision, regardless of the spoken language, making AI understand not just what is said, but who said it and when.

Founded by voice AI experts with 10+ years in the industry (ex-CNRS research scientists), we've built the 9th most downloaded open-source model on HuggingFace with 52 million monthly downloads and over 140,000 users worldwide. After raising €8M from leading international VCs (Crane Venture Partners, Serena, and angels from HuggingFace and OpenAI), we're now scaling our enterprise platform.

From meeting transcription and call center analytics to video dubbing and voice agents, pyannoteAI powers the next generation of voice-enabled applications across industries that depend on understanding who speaks and when.

🧵  Your role

As a Research Scientist at pyannoteAI, you'll push the boundaries of multi-talker conversational speech processing, conducting both applied and moonshot research that gets published at top-tier conferences and deployed to production. Working alongside the creators of pyannote.audio, you'll train state-of-the-art models at scale and collaborate with engineering to bring breakthrough research to 140K+ developers and large Enterprise customers worldwide.

You'll:

• Conduct cutting-edge research - Explore batch and streaming approaches to multi-talker speech processing including speaker diarization, speaker separation, multi-talker transcription, speaker identification, and speaker profiling
• Train models at scale - Design, implement, and train neural network architectures using PyTorch
• Publish at top-tier venues - Contribute original research to leading speech and machine learning conferences
• Bridge research and production - Collaborate with our tech team to optimize and deploy models that serve millions of API calls
• Contribute to our codebase - Develop and maintain both our proprietary and open-source libraries