About Mistral
- At Mistral AI, we are a tight-knit, nimble team dedicated to bringing our cutting-edge AI technology to the world. Our mission is to make AI ubiquitous and open
- We are creative, low-ego, team-spirited, and have been passionate about AI for years
- We hire people that foster in competitive environments, because they find them more fun to work in
- We hire passionate women and men from all over the world
- Our teams are distributed between France, UK and USA
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 our Bay area offices
- Internship duration : 3 to 6 months. We will prioritize candidates looking for end of studies internships
Key Responsibilities
- 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
Qualifications & Profile
- Currently doing a Master's or Phd from tier 1 engineering schools / Universities
- 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
Attractive cash compensation