Full-Time

Research Engineer

Posted on 11/29/2024

Mistral AI

Mistral AI

51-200 employees

Develops and deploys large language models

AI & Machine Learning

Junior, Mid

London, UK

Onsite presence required in Paris and London.

Category
Deep Learning
Natural Language Processing (NLP)
AI & Machine Learning
Required Skills
Tensorflow
Pytorch
Natural Language Processing (NLP)
Requirements
  • Master’s in computer science (or equivalent) or ideally a Phd
  • Background in research and have a previous experience working in a lab
  • Experience with deep learning, natural language processing, LLMs
  • 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
Responsibilities
  • Help accelerate researchers by taking on more complex part of pipelines and building appropriate tools.
  • Help interface our research with the products we build.
  • Conduct research on the latest AI and machine learning technologies.
  • Develop and implement AI models and algorithms, designing and executing the required experimental protocols.
  • Write simple and efficient machine learning code.
  • Develop prototypes and proof-of-concept models for AI applications.

Mistral AI develops and deploys Large Language Models (LLMs) that can understand and generate human-like text. Their main products include an API that allows clients to access these models on a pay-as-you-go basis, making it easy for businesses of all sizes to integrate advanced AI capabilities without large upfront costs. Additionally, Mistral AI offers open-source models that can be accessed through platforms like Hugging Face, encouraging community involvement and continuous improvement of the models. Unlike many competitors, Mistral AI combines a flexible API with an open-source approach, allowing for scalable solutions and fostering innovation through community contributions. The company's goal is to provide accessible and effective AI solutions that cater to a diverse range of clients, ensuring they can leverage the power of AI in their operations.

Company Stage

Growth Equity (Venture Capital)

Total Funding

$1B

Headquarters

Paris, France

Founded

N/A

Growth & Insights
Headcount

6 month growth

71%

1 year growth

292%

2 year growth

16000%
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Simplify's Take

What believers are saying

  • Mistral AI's valuation at $2 billion and backing from investors like Databricks highlight its strong market position and growth potential.
  • The company's innovative offerings, such as the Pixtral Large model and Le Chat, position it as a formidable competitor to established players like OpenAI.
  • Mistral AI's free beta offerings and pay-as-you-go API model provide accessible entry points for businesses, fostering widespread adoption.

What critics are saying

  • The competitive landscape with giants like OpenAI and Anthropic could challenge Mistral AI's market penetration and sustainability.
  • Reliance on community contributions for open-source models may lead to inconsistent quality and slower innovation cycles.

What makes Mistral AI unique

  • Mistral AI's open-source approach and community-driven model development set it apart from competitors like OpenAI, fostering innovation and adaptability.
  • The company's focus on multilingual capabilities, including support for languages like Arabic, Chinese, and Japanese, provides a competitive edge in global markets.
  • Mistral AI's strategic partnerships, such as with Databricks, enhance its integration capabilities and broaden its reach in the AI ecosystem.

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