Mistral AI
Research Engineer, Data Infrastructure
Palo Alto · Mid
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About the role
- We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions.
Responsibilities
- Take pride in building and operating scalable, reliable, and secure systems from the ground up.
- Are comfortable with ambiguity and the challenges of building high-scale infrastructure in a rapid-growth AI environment.
Requirements
- Have 4+ years of experience in Data Infrastructure, MLOps, or Infrastructure Engineering.
Skills
- About Mistral
- Our offerings include Le Chat, La Plateforme, Mistral Code and Mistral Compute - a suite that brings frontier intelligence to end-users.
- Our diverse workforce thrives in competitive environments and is committed to driving innovation.
- Our teams are distributed between France, USA, UK, Germany and Singapore.
- Role Summary
- You will take full lifecycle ownership:
- What will you do
- Build & Scale:
- Help us reach our goal of operating massive distributed compute and storage systems
- Global Orchestration:
- Design Future-Proof Storage:
- Architect our transition to modern storage formats to handle fine-tuning datasets at a scale that anticipates exabyte growth.
Compensation
- 💰 Competitive salary and equity. 🚑 Healthcare: Medical/Dental/Vision covered for you and your family. 👴🏻 Pension: 401K (6% matching) 🏝️ PTO: 18 days 🚗 Transportation: Reimburse office parking charges, or $120/month for public transpor
Company info
- About Mistral At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity.
- We are a dynamic, collaborative team passionate about AI and its potential to transform society.
- We are creative, low-ego and team-spirited.
Visa & Work Authorization
- 💰 Competitive salary and equity. 🚑 Healthcare: Medical/Dental/Vision covered for you and your family. 👴🏻 Pension: 401K (6% matching) 🏝️ PTO: 18 days 🚗 Transportation: Reimburse office parking charges, or $120/month for public transpor
This listing is sourced directly from Mistral AI's careers page and normalized into a canonical job model.