Lead AI Scientist, Finance

About Mistral 
At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life.
We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise as well as personal needs. Our offerings include Le Chat, La Plateforme, Mistral Code and Mistral Compute - a suite that brings frontier intelligence to end-users.
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 France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited.
Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on
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Role Summary 
We are building a team of exceptional lead researchers who can identify and solve key problems in their respective fields—such as finance, material physics, biology, and more—leveraging the cutting-edge capabilities of our Core Science organization. You will be able to shape the mission and:
- Accelerate scientific discovery and innovation - Be empowered with autonomy, advanced tools, and the freedom to explore high-impact projects at the intersection of your domain and AI.
What you will do

• Identify and Define Impactful Problems: Proactively identify critical challenges in your field (e.g., finance, material physics, biology) where AI/ML can drive breakthroughs.
• End-to-End Research Ownership: Lead independent research projects from ideation to implementation, including literature review, hypothesis formulation, experimentation, and validation.
• Develop and Apply AI/ML Solutions: Design, implement, and refine advanced algorithms, models, and frameworks (e.g., deep learning, LLMs, agentic AI) to address domain-specific problems.
• Collaborate and Innovate: Work with a multidisciplinary team of scientists, engineers, and domain experts (including customers) to push the boundaries of what's possible with AI in science.
• Autonomy and Initiative: Operate with high autonomy, setting your own research agenda and driving projects to completion with minimal oversight.

About you

• Domain Knowledge: Strong understanding of at least one scientific or industrial domain (e.g., finance, material physics, biology) and the ability to translate domain challenges into AI research questions.
• Proven track record of innovation in AI/ML applied to hard, real-life problems, demonstrated by first-author publications, open-source contributions, or impactful projects.
• Expertise in machine learning, deep learning, and/or large language models: Hands-on experience using frameworks like PyTorch or TensorFlow.
• Customer Collaboration Experience: Experience working with customers or end-users to refine requirements, iterate on solutions, and ensure successful deployment and adoption of AI projects at scale.
• Low ego and team spirit mindset
• Embraces hands-on, operational work

Benefits
Competitive cash salary and equity Daily lunch vouchers : Swile meal vouchers with 10,83€ per worked day, incl 60% offered by company Sport : Enjoy discounted access to gyms and fitness studios through our Wellpass partnership Transportation : Monthly contribution to a mobility pass via Betterway Health : Full health insurance for you and your family Parental : Generous parental leave policy Visa sponsorship Coaching: we offer BetterUp coaching on a voluntary basis

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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