AI Scientist

The Role

As an AI Scientist, you will push the boundaries of AI by developing and scaling cutting-edge models. This role exists to advance Mistral’s mission of democratizing frontier intelligence, enabling businesses and consumers to benefit from open, high-impact AI systems. You will collaborate with a global, cross-functional team to design, build, and deploy models that solve real-world problems across reasoning, code, and multimodal applications. Your work will directly shape how AI integrates into daily life and enterprise operations.

What You Will Do

• Research and develop novel methods to advance the capabilities of LLMs.

• Design and implement tooling and infrastructure for training, evaluating, and analysing AI models at scale.

• Collaborate with scientists, engineers, and product teams to ship AI systems with tangible impact.

• Explore and innovate across use cases such as reasoning, code generation, and agent-based systems.

• Work with multimodal data, including text, image, and speech, to expand model capabilities.

• Optimise distributed systems to improve the efficiency and scalability of model training.

• Contribute to the open-source community by releasing frontier models for public use.

• A track record of contributing to relevant scientific domains, such as publications or open-source projects.

• Hands-on experience with AI frameworks like PyTorch or JAX, or distributed systems such as Ray or Kubernetes.

• Proficiency in at least one programming language, such as Python, Rust, Go, or Java.

• Ability to design complex software systems and transition them into production environments.

• Experience with training large transformer models in a distributed setting.

• Familiarity with the full MLOps stack, including fine-tuning, evaluation, and deployment.

• A self-starter mindset with the autonomy to drive projects forward and collaborate effectively in a team.

• Strong engineering competence, with a focus on building scalable and reliable systems.