AI Scientist - Paris (Internship, Master's students)
2 Months ago • All levels
Research Development
Job Description
This internship role involves working with the fine-tuning team to develop state-of-the-art generative models. The intern will explore advanced LLM algorithms, assist in designing and implementing machine learning models, and conduct research on NLP and LLM advancements. Responsibilities include contributing to system optimization, collaborating on integration, performing data analysis, documenting findings, and participating in team discussions. The position is based in Paris for a 6-month duration, targeting Master's students nearing graduation.
Good To Have:
- Experience in fine tuning LLMs
- Experience using complex HPC infrastructure with full autonomy
Must Have:
- Work with the fine tuning team on making state-of-the-art generative models
- Run autonomous work streams under the supervision of experienced scientists
- Explore state-of-the-art LLM algorithms for fine tuning LLMs
- Assist in the design and implementation of machine learning models and algorithms
- Conduct research on the latest advancements in natural language processing and LLMs
- Contribute to the development and optimization of LLM systems
- Collaborate with cross-functional teams to integrate LLM technologies
- Perform data analysis and visualization to support research and development
- Document research findings and contribute to technical reports and publications
- Participate in team meetings and brainstorming sessions
- Currently a Master's from tier 1 engineering schools / Universities
- High scientific understanding of the field of generative AI
- Broad knowledge of the field of AI
- Specific knowledge or interest in fine-tuning and using language models for applications
- Strong programming skills in Python
- Experience in libraries such as TensorFlow, PyTorch, or similar
- Familiarity with natural language processing techniques and machine learning algorithms
- Ability to design complex software and make them usable in production
- Ability to navigate the full MLOps technical stack
- Previous experience with LLMs or related technologies
- Knowledge of deep learning frameworks and techniques
- Experience with version control systems (e.g., Git) and linux shell environment
Perks:
- Competitive salary
- Daily lunch vouchers
- Monthly contribution to a Gympass subscription
- Monthly contribution to a mobility pass
About Mistral
At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life.
We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work.
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 France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited.
Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on https://mistral.ai/careers.
Role Summary
- You will be working with the fine tuning team on making state-of-the-art generative models.
- You will run autonomous work streams under the supervision of experienced scientists.
- Internship duration : 6 months. We are only considering candidates looking for end of studies internships
- We are totally open to CIFRE programs as a continuation after the internship
What you will do
- Explore state-of-the-art LLM algorithms for fine tuning LLMs, with the supervision of top level scientists.
- Assist in the design and implementation of machine learning models and algorithms.
- Conduct research on the latest advancements in natural language processing and LLMs.
- Contribute to the development and optimization of our LLM systems.
- Collaborate with cross-functional teams to integrate LLM technologies into various applications.
- Perform data analysis and visualization to support research and development efforts.
- Document research findings and contribute to technical reports and publications.
- Participate in team meetings and brainstorming sessions to share ideas and insights
About you
- Currently a Master's from tier 1 engineering schools / Universities. We will prioritise candidates who are about to finalize their Master.
- High scientific understanding of the field of generative AI.
- Broad knowledge of the field of AI, and specific knowledge or interest in fine-tuning and using language models for applications.
- Strong programming skills in Python, with experience in libraries such as TensorFlow, PyTorch, or similar.
- Familiarity with natural language processing techniques and machine learning algorithms.
- Design complex software and make them usable in production.
- Navigate the full MLOps technical stack, with a focus on architecture development and model evaluation and usage.
- Previous experience with LLMs or related technologies.
- Knowledge of deep learning frameworks and techniques.
- Experience with version control systems (e.g., Git) and linux shell environment.
Now, it would be ideal if you :
- Have experience in fine tuning LLMs.
- Have used complex HPC infrastructure with full autonomy.
Benefits
- 💰 Competitive salary
- 🥕 Food : Daily lunch vouchers
- 🥎 Sport : Monthly contribution to a Gympass subscription
- 🚴 Transportation : Monthly contribution to a mobility pass
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