Mistral AI
Mistral AI
201 – 500 Xodimlar
KorxonaSaaSSun’iy intellekt
Mistral AI aqlli ilovalar va sun’iy intellekt agentlarini yaratayotgan tashkilotlar uchun ilg‘or katta til modellari hamda generativ sun’iy intellekt tizimlarini ishlab chiqadi. Uning mahsulot portfeliga sun’iy intellekt yordamida uzoq muddatli ishlar va kodlash uchun Vibe, agentlar va ilovalarni yaratish hamda boshqarish uchun Studio, maxsus modellarni o‘qitish va baholash uchun Forge, shuningdek modellarni o‘qitish va ishga tushirish infratuzilmasini taqdim etuvchi Compute kiradi. Kompaniya API’lar, ixtisoslashtirilgan modellar, korporativ moslashtirish, joriy etish xizmatlari hamda moliya, davlat sektori, ishlab chiqarish, energetika va kommunal xizmatlar, transport kabi sohalar uchun yechimlarni ham taqdim etadi. Mistral AI maxfiylikni hisobga oladigan korporativ foydalanish va ehtiyojga moslashtirilgan sun’iy intellekt yechimlariga e’tibor qaratgan holda, bulutda joylashtiriladigan va tashkilotning o‘z infratuzilmasida joylashtiriladigan tizimlarni qo‘llab-quvvatlaydi.

LLM Scientist, AI for Science — Mistral AI, Paris Hybrid

Develop large language models and agentic AI for Mistral AI’s scientific discovery solutions. Partner with experts across biology, chemistry, physics, and materials science to advance practical AI applications.

Tavsif

  • Build and optimize large language models, agentic AI systems, and deep learning frameworks for scientific discovery
  • Advance LLM performance in literature synthesis, autonomous experimentation, and rigorous derivations
  • Support end-to-end training of scalable, generalizable LLM-based solutions for scientific use cases
  • Create scalable workflows for collecting high-quality scientific data through synthetic and crowdsourced pipelines
  • Apply and advance reinforcement learning and agentic systems for challenges in the natural sciences
  • Work with domain experts to identify AI opportunities and refine models using their feedback
  • Help develop infrastructure for scientific model training and open-source AI tools for science
  • Define research priorities for AI in science while investigating high-risk, high-reward ideas
  • Turn advances in AI research into measurable scientific impact

Talablar

  • Strong expertise in large language models, deep learning, or agentic AI
  • Demonstrated success applying AI or machine learning to real-world problems through publications, open-source work, or deployed systems
  • Extensive computer science experience
  • Ideally, experience scaling synthetic data generation
  • Working knowledge of current LLM architectures and post-training methods
  • Hands-on experience with PyTorch, TensorFlow, or JAX
  • Experience with model optimization and scaling methods, including fine-tuning and RLHF
  • Ability to understand at least one natural science domain at a high level
  • Graduate-level specialization and broad undergraduate knowledge in a natural science field
  • Proficiency in scientific computing, numerical methods, and high-performance computing
  • Strong software engineering practices
  • Ability to explain technical AI concepts to non-specialists
  • Collaborative, low-ego approach with a willingness to handle operational challenges
  • Availability to work from the Paris office approximately three days per week

Imtiyozlar

  • Healthcare coverage
  • Parental leave
  • Retirement plans
  • Relocation support
  • Wellness programs
  • Meal allowances
  • Transportation allowances
  • Other location-specific perks

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Ochish