AI Scientist – Internship (Bay Area)

Mistral AI
  • Palo Alto
  • Post Date: October 6, 2024
    • 15187
  • Applications 0
  • Views 2
Job Overview

logoAbout 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 openWe are creative, low-ego, team-spirited, and have been passionate about AI for yearsWe hire people that foster in competitive environments, because they find them more fun to work inWe hire passionate women and men from all over the worldOur 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 modelsYou will run autonomous work streams under the supervision of experienced scientistsThe role is based in our Bay area officesInternship 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 scientistsAssist in the design and implementation of machine learning models and algorithmsConduct research on the latest advancements in natural language processing and LLMsContribute to the development and optimization of our LLM systemsCollaborate with cross-functional teams to integrate LLM technologies into various applicationsPerform data analysis and visualization to support research and development effortsDocument research findings and contribute to technical reports and publicationsParticipate 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 / UniversitiesHigh scientific understanding of the field of generative AIBroad knowledge of the field of AI, and specific knowledge or interest in fine-tuning and using language models for applicationsStrong programming skills in Python, with experience in libraries such as TensorFlow, PyTorch, or similarFamiliarity with natural language processing techniques and machine learning algorithmsDesign complex software and make them usable in productionNavigate the full MLOps technical stack, with a focus on architecture development and model evaluation and usagePrevious experience with LLMs or related technologiesKnowledge 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 LLMsHave used complex HPC infrastructure with full autonomy

Benefits

Attractive cash compensation

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