Mistral AI
Mistral AI
Mistral AI интеллектуалды қолданбалар мен жасанды интеллект агенттерін әзірлейтін ұйымдарға арналған озық үлкен тілдік модельдер мен генеративті жасанды интеллект жүйелерін жасайды. Оның өнімдер портфеліне жасанды интеллект көмегімен ұзақ мерзімді жұмыстар мен код жазуға арналған Vibe, агенттер мен қолданбаларды жасау және басқаруға арналған Studio, арнайы модельдерді оқыту мен бағалауға арналған Forge, сондай-ақ модельдерді оқыту мен іске қосуға арналған инфрақұрылымды ұсынатын Compute кіреді. Компания сонымен қатар API интерфейстерін, мамандандырылған модельдерді, кәсіпорындарға арналған бейімдеуді, енгізу қызметтерін және қаржы, мемлекеттік сектор, өндіріс, энергетика мен коммуналдық қызметтер, көлік сияқты салаларға арналған шешімдерді ұсынады. Mistral AI құпиялылықты ескеретін корпоративтік пайдалануға және арнайы бейімделген жасанды интеллект шешімдеріне басымдық бере отырып, бұлтта орналастырылатын және ұйымның өз инфрақұрылымында орналастырылатын шешімдерді қолдайды.

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.

Сипаттама

  • 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

Талаптар

  • 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

Артықшылықтар

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

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