Full-Time

Research Engineer

Confirmed live in the last 24 hours

Mistral AI

Mistral AI

201-500 employees

Develops and deploys large language models

AI & Machine Learning

Mid, Senior

Palo Alto, CA, USA

Hybrid position requires in-office presence.

Category
Applied Machine Learning
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

Debt Financing

Total Funding

$1B

Headquarters

Paris, France

Founded

2023

Growth & Insights
Headcount

6 month growth

73%

1 year growth

313%

2 year growth

18500%
Simplify Jobs

Simplify's Take

What believers are saying

  • €600 million funding in 2024 boosts R&D and expansion efforts.
  • Strategic U.S. expansion taps into Silicon Valley talent and market.
  • Open-source approach encourages community contributions and innovation.

What critics are saying

  • U.S. expansion may strain resources and lead to operational challenges.
  • Free advanced features could lead to unsustainable financial models.
  • High valuation creates pressure for rapid growth and returns.

What makes Mistral AI unique

  • Mistral AI offers both API access and open-source models, enhancing flexibility.
  • Pixtral Large model outperforms GPT-4 and Google's Gemini 1.5 Pro.
  • Le Chat platform integrates Flux Pro, surpassing DALL-E in image generation.

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