Ricerca Ingegnere, Data Infrastructure — Mistral AI
NuovoCHF 73'500 - 111'500
Mistral AI · Zurich (ZH)
- Località
- Zurich
- Contratto
- full-time
- Pubblicato
- 5 giorni fa
SalarioCHF 73'500 - 111'500
Panoramica
About Mistral
This role focuses on building and operating the next generation of data infrastructure at Mistral AI.
You will be a core contributor to our evolution, helping us design and scale massive compute fleets and storage systems designed for high performance and scalability.
- About Mistral
- This role focuses on building and operating the next generation of data infrastructure at Mistral AI.
- vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
- For the most up-to-date details on benefits available in your location, please refer to our Benefits page . Privacy Policy
Cosa offre l’azienda
- vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
- For the most up-to-date details on benefits available in your location, please refer to our Benefits page . Privacy Policy
- Your privacy matters to us.
- You can learn more about how we handle your personal data in our Applicant Privacy Policy .
Processo di candidatura
- Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute.
- We partner with enterprises tackling the hardest problems—across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector—co-creating customized AI systems that they can run on their terms.
- 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 Europe, North America, Asia and the Middle East.
- We are creative, low-ego and team-spirited. Role Summary
- The Data Infrastructure team at Mistral AI is architecting the backbone of our frontier model training and fine-tuning ecosystem.
- We are building the specialized compute and data fabrics required to power the development of world-class AI.
Dettagli ulteriori
- We are creative, low-ego and team-spirited.
- You will take full lifecycle ownership: from architecting the migration away from legacy orchestrators to implementing production-grade pipelines and participating in on-call rotations for critical training jobs. In this role, you will:
- Operational Excellence: Use modern deployment workflows to manage cloud-native deployments, ensuring our data platform can scale by orders of magnitude while remaining reliable and efficient. You might thrive in this role if you:
- Are comfortable with ambiguity and the challenges of building high-scale infrastructure in a rapid-growth AI environment. Location and Remote
- for the first week of their onboarding (accommodation and travelling covered) then at least 3 days per month
- Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
- For the most up-to-date details on benefits available in your location, please refer to our Benefits page .
Note e contenuto originale
- Role Summary
- About the Role
- You will take full lifecycle ownership: from architecting the migration away from legacy orchestrators to implementing production-grade pipelines and participating in on-call rotations for critical training jobs.
- In this role, you will:
- Operational Excellence: Use modern deployment workflows to manage cloud-native deployments, ensuring our data platform can scale by orders of magnitude while remaining reliable and efficient.
- You might thrive in this role if you:
- Are comfortable with ambiguity and the challenges of building high-scale infrastructure in a rapid-growth AI environment.
- Location and Remote
- for the first week of their onboarding (accommodation and travelling covered)
- then at least 3 days per month
