Future AI Global Leaders, Mistral AI
Applied Science
🌎 Visa sponsorship available
Generative AI model developers
Open for applications
Generative AI model developers
501-1000 employees
Open for applications
🌎 Visa sponsorship available
501-1000 employees
Company mission
To make frontier AI ubiquitous, and to provide tailor-made AI to all the builders.
Role
Who you are
- You hold a PhD in a relevant field and have less than 2 years of professional experience
- You have experience in one or more of the following specialized fields: time series, edge devices, quantization, cybersecurity, multimodal, robotics
- You are proficient in Python and have experience with large codebases
- You have strong communication skills and the ability to work effectively in a team environment
- You are fluent in English
- You have signs of exceptional value work such as Olympiad medals, papers published at conferences, open-source contributions, or merit-based scholarships
What the job involves
- Over one year, you’ll rotate through hands-on projects to develop SOTA models across different modalities such as text, image, and speech in our different offices
- You will apply these models across a diverse set of use cases and domains to tackle cutting-edge challenges in physical AI, time series analysis, materials science, cybersecurity and many more
- This program, built for ambitious Phd and aspiring entrepreneurs is offering mentorship, diverse rotations, and the opportunity to collaborate with a global cohort of innovators to solve frontier challenges
- We’re looking for exceptional talent from top universities to join our cohort
- As part of the program, you’ll receive mentorship from industry leaders and contribute to projects that redefine what’s possible in AI
- Run pre-training, post-training and deploy state of the art models on clusters with thousands of GPUs
- Design, train, and deploy state-of-the-art models in specialized fields like time series, edge devices, quantization, cybersecurity, multimodal or robotics
- Generate and curate data for pre-training and post-training, working on evaluations and making sure the model’s performance beats expectations
- Develop the necessary tools and frameworks to facilitate data generation, model training, evaluation and deployment
- Collaborate with cross-functional teams to tackle complex use cases using agents and foundational models
- Manage research projects and communications with client research teams
- 1-year program starting in Spring 2026
- Built unique technical expertise on Applied Science and foundational models
- Developed and deployed performant models on highly complex use cases for global leaders
- Shipped entire projects owning a massive scope and exposition
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
$544.5m
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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