Research Internship - Speech LLM Post-training

Ensimag Alumni; Annecy; Presencial; EUR 10 000 - 15 000; Tempo integral

Resumo da oferta

Blynt is building the interface of the future for real-time voice-enabled experiences. As a Research Intern in the Audio & Speech Research team, you will design, train and evaluate real-time audio models that translate cutting-edge ideas into production-ready systems.

You will work at the intersection of research and engineering, ensuring deployments are reliable in the real world and communicating across teams. Fluency in English and a strong ML background are essential.

Qualificações

• Final-year MSc student in ML.
• Proficient in PyTorch (or equivalent).
• Comfortable writing production Python code, not just prototypes.
• Deep knowledge of ML fundamentals; knowledge of Transformer architectures.
• Strong communication skills, fluent in English.

Responsabilidades

• Design, train and evaluate real-time audio models.
• Bridge research and engineering to deploy models.
• Work on production-ready systems for real-world use.

Conhecimentos

PyTorch

Production Python

ML fundamentals

Transformer

Formação académica

Final-year MSc in Machine Learning

Descrição da oferta de emprego

At Blynt, we are building the interface of the future: voice that works. Our team previously built Sonos Voice Control, delivering a production-grade voice experience to millions of users worldwide while pushing the technical boundaries, with a fraction of the resources of Big Tech and running the entire AI stack directly on Sonos speakers under extreme runtime and optimization constraints.

We focus on everything that happens between the microphone and the AI agent: turning raw, continuous audio into structured, real-time events that downstream systems can act on. Our model stack spans real-time transcription and turn-taking, with environmental and paralinguistic understanding on the roadmap. Powering the next generation of real-world agentic interactions, from robots to wearables and beyond, requires a step change in the underlying technology. That's what we're building.

As a Research Intern in our Audio & Speech Research team, you will explore state-of-the-art audio architectures and study how to apply them to our production . This is not a pure research role where papers are the output. You will design, train and evaluate models that run in real-time. You'll work at the intersection of research and engineering, translating state-of-the-art ideas into systems that work reliably in the real world.

First and foremost, we're looking for kind and curious people who are genuinely excited about what we're trying to do: make a real dent in the conversational AI landscape. The list below isn't a checklist. Few candidates will meet every criterion, and we'd rather hear from people with a wide range of backgrounds and experience.

• Final-year MSc student in Machine Learning
• Proficient in PyTorch (or an equivalent deep learning framework)
• Comfortable writing production Python code, not just research prototypes
• Deep knowledge of Machine Learning fundamentals. Plus knowledge of recent architectures like the Transformer.
• Strong communication skills, fluent in English