• Internship duration : 3 to 6 months. We will prioritize candidates looking for end of studies internships
• 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

Desirable

• 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
• 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