AI Scientist

Mistral
Warsaw
Workplace: OnsiteFull timeFunction: Research & Scientific (R&D)Skills: ["Self-starting","Autonomy","Teamwork","Engineering competence"]

Develop and scale cutting-edge AI models, researching novel approaches for large language models and multimodal use cases like text, image, speech, and agents. Build and maintain tooling and infrastructure for training, evaluation, and analysis at scale. Collaborate across a global team of scientists, engineers, and product teams to ship AI systems with real-world impact, supported by strong software engineering practices.

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FursaFursa
Mistral
Mistral
2 months ago

AI Scientist

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 11 hours agoStatus: Live
Reposted: similar role first listed 1 month ago

Job Summary

Develop and scale cutting-edge AI models, researching novel approaches for large language models and multimodal use cases like text, image, speech, and agents. Build and maintain tooling and infrastructure for training, evaluation, and analysis at scale. Collaborate across a global team of scientists, engineers, and product teams to ship AI systems with real-world impact, supported by strong software engineering practices.
Location: Warsaw
Workplace: Onsite
Employment Type: Full time
Job Function: Research & Scientific (R&D)

Key Responsibilities

  • •Research and develop novel methods to push the frontier of large language models.
  • •Work across use cases (reasoning, code, agents) and modalities (text, image, speech).
  • •Build tooling and infrastructure for training, evaluation, and analysis of AI models at scale.
  • •Collaborate cross-functionally with scientists, engineers, and product teams to ship AI systems with real-world impact.

Key Requirements

  • •Highly proficient software engineer in at least one programming language (Python or Rust, Go, Java).
  • •Hands-on experience with AI frameworks (PyTorch, JAX) or distributed systems (Ray, Kubernetes).
  • •Ability to design complex software and make it usable in production.
  • •Self-starter who is autonomous and a team player.
  • •Ideal: experience training large transformer models in a distributed fashion and navigating the MLOps stack (fine-tuning, evaluation, deployment).
Experience:AIMachine learningDistributed systemsMLOps
Skills:Self-startingAutonomyTeamworkEngineering competence
Tech Stack:PythonRustGoJavaPyTorchJAXRayKubernetesLarge language modelsTransformer modelsMLOpsFine-tuningEvaluationDeployment

Company Brief

Mistral
Develops state-of-the-art large language models and AI systems, offering models and developer tools for natural language understanding, generation, and enterprise AI integrations. Focuses on open research and production-ready model deployments.
Industry: AI & Machine Learning
Company Size: Medium (51 to 250 employees)
Growth: Early Stage Startup
Funding: Seed
Headquarters: Paris, France
Founded: 2023
WebsiteLinkedIn