AI Scientist - Palo Alto

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Mistral AI

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 who thrive 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 Mistral AI is hiring an expert in the role of pre-training and fine-tuning large language models

Key Responsibilities

  • Modifying pre-trained large language models to make them able to interact with humans
  • Equipping large language models with the ability of calling external tools
  • Aligning large language models based on feedback obtained during their deployment, or going through an ad-hoc annotation process
  • Designing ad-hoc annotation processes themselves
  • Participating to the pre-training effort.

Qualifications & Profile

  • High scientific understanding of the field of generative AI. This means a broad knowledge of the field of AI, and specific knowledge or interest in fine-tuning and using language models for applications
  • High technical engineering competence. This means being able to design complex software and make them usable in production
  • Be able to navigate the full MLOps technical stack, with a focus on architecture development and model evaluation and usage
  • Occasionally be able to do front-end development, and have to use complex HPC infrastructure with full autonomy
  • Hands-on experience with AI frameworks and tools (e.g., TensorFlow, PyTorch, Jax)
  • Have experience working with large distributed systems
  • Self-starter and autonomous
  • Low-ego
  • Collaborative and have a real team player mindset

Now, it would be ideal if you have;

  • Audio/Speech experience - audio input/out, NLP etc

Location

    Palo Alto

Job type

  • Fulltime

Role

Engineering

Keywords

  • Fine tuning
  • LLM