Ai Scientist

il y a 1 jour

Paris, France Mistral AI Temps plein

**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.

**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.
- The role is based in Paris
- 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.
- 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**

- High scientific understanding of the field of generative AI.
- 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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