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Mistral.ai

15 days ago

Research Engineer, Inference Foundation

Hybrid · Paris

pythonkubernetesrustpytorch science

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AI TL;DR

Join Mistral's Inference Foundation team in Paris to enhance AI inference systems. You'll work on optimizing performance and capacity for large-scale machine learning services.

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Clear role · 80/100 against the market band on this page.

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  1. What would you ship in the first month as Research Engineer, Inference Foundation at Mistral.ai?
  2. Which tradeoff in the description would you ask about first?
  3. How do you explain a production incident to this team?
  4. What would you measure in the first two weeks?
  5. Which part of your last project maps to this stack?

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Job description

Join Mistral's Inference Foundation team in Paris to enhance AI inference systems. You'll work on optimizing performance and capacity for large-scale machine learning services.

Details

  • Paris, work from office
  • Experience building and running ML/LLM services at scale
  • Skills: python, kubernetes, rust, pytorch

The work

  • Develop and fix the core of the inference stack including feature selection and tuning
  • Own the release process for the serving stack with automated performance gates
  • Optimize serving efficiency across the fleet and maintain optimal serving topology
  • Build the serving infrastructure that powers RL and post-training for frontier models