AI Scientist, Robotics

Mistral
Paris
Workplace: OnsiteFull timeFunction: Research & Scientific (R&D)Skills: ["Problem-solving","Proactive","Collaborative","Self-driven"]

Develop next-generation AI systems for general-purpose mobile manipulation robots, helping robots perceive, reason, and interact in real-world environments. Collaborate with researchers, software engineers, and product teams to build scalable training/evaluation infrastructure and deploy AI on physical robotic platforms. Advance vision-language and robot learning capabilities while optimizing models for reliable real-world performance, bridging frontier research and production-grade engineering.

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FursaFursa
Mistral
Mistral
2 months ago

AI Scientist, Robotics

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 16 hours agoStatus: Live
Reposted: similar role first listed 1 month ago

Job Summary

Develop next-generation AI systems for general-purpose mobile manipulation robots, helping robots perceive, reason, and interact in real-world environments. Collaborate with researchers, software engineers, and product teams to build scalable training/evaluation infrastructure and deploy AI on physical robotic platforms. Advance vision-language and robot learning capabilities while optimizing models for reliable real-world performance, bridging frontier research and production-grade engineering.
Location: Paris
Workplace: Onsite
Employment Type: Full time
Job Function: Research & Scientific (R&D)

Key Responsibilities

  • •Develop novel AI methods for mobile manipulation and embodied intelligence.
  • •Build scalable infrastructure for training, evaluating, and analyzing AI models.
  • •Deploy AI systems on real-world robotic platforms.
  • •Advance vision-language and robot learning capabilities.
  • •Optimize AI models for reliable real-world robotic performance.

Key Requirements

  • •Hands-on experience building AI systems for robotics or developing large vision-language models.
  • •Strong software engineering skills, preferably in Python.
  • •Experience with deep learning frameworks such as PyTorch.
  • •Ability to design scalable, production-ready AI software and infrastructure.
  • •Familiarity with the end-to-end MLOps lifecycle, including training, fine-tuning, evaluation, and deployment.
Skills:Problem-solvingProactiveCollaborativeSelf-driven
Tech Stack:PythonPyTorchDeep learningVision-languageMLOpsTrainingEvaluationDeployment

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