AI Scientist, Mistral AI
Generative AI model developers
Be an early applicant
Generative AI model developers
501-1000 employees
Be an early applicant
501-1000 employees
Company mission
To make frontier AI ubiquitous, and to provide tailor-made AI to all the builders.
Role
Who you are
- A strong publication record in a relevant scientific domain, such as machine learning or natural language processing
- High proficiency as a software engineer in at least one programming language, such as Python, Rust, Go, or Java
- Hands-on experience with AI frameworks like PyTorch or JAX, or distributed systems such as Ray or Kubernetes
- A self-starter mindset, with the autonomy to drive projects forward and the ability to work effectively in a team
- Experience with training large transformer models in a distributed manner
- Familiarity with the full MLOps stack, including fine-tuning, evaluation, and deployment
- Experience with audio or speech processing, including input/output and NLP
What the job involves
- As an AI Scientist, you will research and develop novel methods to advance the capabilities of large language models
- This role exists to push the boundaries of what AI can achieve, enabling Mistral to deliver systems that transform how businesses operate and integrate into daily life
- You will join a team of engineers and scientists focused on building tooling and infrastructure to train, evaluate, and analyse AI models at scale. Your work will span multiple use cases and modalities, from reasoning and code generation to text, image, and speech processing
- The impact of this role is far-reaching, as you will collaborate cross-functionally to ship AI systems that have real-world applications and open-source frontier models for global benefit
- Research and develop innovative methods to advance the frontier of large language models
- Build tooling and infrastructure to enable large-scale training, evaluation, and analysis of AI models
- Collaborate with scientists, engineers, and product teams to deploy AI systems with tangible real-world impact
- Design and implement solutions that address complex challenges in AI model development and deployment
- Contribute to the open-source community by releasing cutting-edge models and tools
Our take
Founded by Facebook AI researchers, Mistral AI focuses on developing open-source generative AI models to "make AI useful." It emerged in early 2023, quickly achieving a $260 million valuation.
Mistral features up to 176 billion parameters, and its open-source nature has sparked concerns about potential misuse. However, Mistral remains a formidable competitor in the AI landscape, challenging models from Google and Meta.
In 2025, Mistral secured a massive €1.7 billion funding round, raising its valuation to €11.7 billion. This Series B funding, led by European chip firm ASML, underscores significant interest in alternatives to ChatGPT and a push away from Silicon Valley dependence by European AI competitors.
Freddie
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 5 rounds)
Sep 2025
$2.0bn
SERIES C
Jun 2024
$543.1m
SERIES B
Total funding: $3.1bn
Company benefits
- Competitive bonus structure
- Equity
- Opportunities for professional growth and development
Company HQ
Villette, Paris, France
Leadership
Timothee Lacroix
(Co-Founder & CTO)Previously PhD and Software Engineer Intern at Facebook and Visiting Undergraduate at CAlab UCSD
Guillaume Lample
(Co-Founder & Chief Scientist)Research Student and Scientist at Facebook AI and Research Intern at Jane Street Capital
Arthur Mensch
(Co-Founder & CEO)Previously Staff Research Scientist at DeepMind, Post-doc researcher at École normale supérieure, Visiting Researcher at NYU Courant Institute of Mathematical Sciences and PhD Student at Inria
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