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AI Scientist - Audio Team

mistral United Kingdom
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AI Summary

Develop novel methods for training, evaluating, and deploying state-of-the-art speech-language models. Improve speech AI performance across multilingual and multimodal use cases. Build scalable tooling and infrastructure for large transformer models.

Key Highlights
Research and develop novel methods to push frontier of large language models
Improve speech AI performance across multilingual and multimodal use cases
Build tooling and infrastructure for training, evaluation, and analysis at scale
Key Responsibilities
Research and develop novel methods to push the frontier of large language models
Improve speech AI performance across multilingual and multimodal use cases
Build tooling and infrastructure to allow training, evaluation and analysis of AI models at scale
Work cross-functionally with other scientists, engineers and product teams to ship AI systems
Contribute to AI research through publications and open-source innovation
Technical Skills Required
Python PyTorch JAX Ray Kubernetes
Benefits & Perks
comprehensive benefits package
healthcare coverage
parental leave
retirement plans
relocation support
wellness programs
meal and transportation allowances

Job Description


About Mistral

Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems—across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector—co-creating customized AI systems that they can run on their terms.

We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.

The Role

As an AI Scientist on the Audio team, you will help push the frontier of speech-language models by developing novel methods for training, evaluating, and deploying state-of-the-art AI systems. You will work on technologies that make advanced speech capabilities more capable, scalable, and impactful for both enterprise and consumer applications.

What You Will Do

  • Research and develop novel methods to push the frontier of large language models
  • Improve speech AI performance across multilingual and multimodal use cases.
  • Work across use cases (e.g reasoning, code, agents) and modalities (e.g text, image and speech)
  • Build tooling and infrastructure to allow training, evaluation and analysis of AI models at scale
  • Work cross-functionally with other scientists, engineers and product teams to ship AI systems which have a real-world impact
  • Contribute to AI research through publications and open-source innovation.

What We're Looking For

  • Expertise in speech AI, including speech input/output and audio processing.
  • Strong software engineering skills in Python or another modern programming language.
  • Hands-on experience with AI frameworks such as PyTorch or JAX, and distributed systems such as Ray or Kubernetes.
  • Ability to design and build scalable, production-ready machine learning systems.
  • Experience training, fine-tuning, and evaluating large transformer or speech-language models.
  • Strong problem-solving skills with a proactive, self-driven approach to research and engineering.
  • Collaborative mindset with the ability to work effectively across research, engineering, and product teams.
  • Track record of contributing to AI research through publications, open-source projects, or technical innovation.

What we offer

We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.

For the most up-to-date details on benefits available in your location, please refer to our Benefits page.

Privacy Policy

Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy.


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