Mistral AI
Mistral AI
Mistral AI संगठनों के लिए उन्नत बुद्धिमत्ता वाले एप्लिकेशन और एजेंट बनाने हेतु अत्याधुनिक बड़े भाषा मॉडल और जनरेटिव AI प्रणालियाँ विकसित करता है। इसके उत्पाद पोर्टफोलियो में AI-सहायता प्राप्त दीर्घकालिक कार्य और कोडिंग के लिए Vibe, एजेंट और एप्लिकेशन बनाने व संचालित करने के लिए Studio, कस्टम मॉडल के प्रशिक्षण और मूल्यांकन के लिए Forge, तथा मॉडल प्रशिक्षण और अनुमान के लिए Compute अवसंरचना शामिल हैं। कंपनी API, विशेषज्ञ मॉडल, एंटरप्राइज़ अनुकूलन, परिनियोजन सेवाएँ और वित्त, सार्वजनिक क्षेत्र, विनिर्माण, ऊर्जा व उपयोगिताओं तथा परिवहन जैसे क्षेत्रों के लिए उद्योग-विशिष्ट समाधान भी प्रदान करती है। Mistral AI क्लाउड-होस्टेड और स्व-होस्टेड, दोनों प्रकार के परिनियोजन का समर्थन करता है और गोपनीयता-सचेत एंटरप्राइज़ उपयोग तथा अनुकूलित AI समाधानों पर ध्यान केंद्रित करता है।

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.

विवरण

  • 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

आवश्यकताएँ

  • 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

लाभ

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

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