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 Paris
-Internship duration : 3 to 6 months
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 Phd from tier 1 engineering schools / Universities. We will prioritize candidates who are about to finalize their Phd.
-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
-Daily lunch vouchers
-Attractive cash compensation
Related Jobs
Meta
Research Scientist, Generative AI (PhD)
Bellevue, WA, Menlo Park, CA, Seattle, WA, New York, NY, San Francisco, CA, Remote, US
Meta
Research Scientist Intern, Embodied AI (PhD)
Redmond, WA, Menlo Park, CA, Seattle, WA, San Francisco, CA