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Applied Scientist​/Research Engineer - Multimodal - EMEA

Job in 1001, Lausanne, Canton de Vaud, Switzerland
Listing for: Mistral AI
Full Time position
Listed on 2025-12-07
Job specializations:
  • Software Development
    AI Engineer
Salary/Wage Range or Industry Benchmark: 30000 - 80000 CHF Yearly CHF 30000.00 80000.00 YEAR
Job Description & How to Apply Below
Position: Applied Scientist / Research Engineer - Multimodal - EMEA

Applied Scientist / Research Engineer - Multimodal - EMEA

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About Mistral

At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life.

We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation.

Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low‑ego and team‑spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on (Use the "Apply for this Job" box below)..

About The Job

Mistral AI is seeking Applied Scientists and Research Engineers focused on multimodal learning (text, image, audio, video) to drive innovative research and collaborate with clients on complex projects. You will design, train, and deploy state‑of‑the‑art multimodal models (e.g., Omni‑models, VLMs, Audio, Image generation, Robotics and much more) and apply them to diverse use cases: enterprise search, agents grounded in images and documents, video understanding, and speech interfaces.

You’ll work cross‑functionally with internal and external science, engineering, and product teams to deliver high‑impact AI solutions.

What you will do
  • Run pre‑training, post‑training and deploy state of the art models on clusters with thousands of GPUs. You don’t panic when you see OOM errors or when NCCL feels like not wanting to talk.
  • Generate and curate multimodal datasets (web‑scale image‑text, document‑image, audio‑text, video‑text), and build robust evaluators/benchmarks for perception, grounding, OCR, and captioning.
  • Develop the necessary tools and frameworks to facilitate data generation, model training, evaluation and deployment.
  • Collaborate with cross‑functional teams to tackle complex use cases using agents and RAG pipelines.
  • Manage research projects and communications with client research teams.
About You
  • You are fluent in English and have excellent communication skills. You are at ease explaining complex technical concepts to both technical and non‑technical audiences.
  • You’re an expert with PyTorch or JAX.
  • You’re not afraid of contributing to a big codebase and can find yourself around independently with little guidance.
  • You have experience in one of the following: VLMs, diffusion for image/video, audio processing (ASR/TTS), image processing, robotics.
  • You write clean, readable, high‑performance, fault‑tolerant Python code.
  • You don’t need roadmaps: you just do. You don’t need a manager: you just ship.
  • Low‑ego, collaborative and eager to learn.
  • You have a track record of success through personal projects, professional projects or in academia.
It would be great if
  • Hold a PhD / master in a relevant field (e.g., Mathematics, Physics, Machine Learning), but if you’re an exceptional candidate from a different background, you should apply.
  • Can bring a variety of research experience (agents, multi‑modality, robotics, diffusion, time‑series).
  • Have contributed to a large codebase used by many (open source or in the industry).
  • Have a track record of publications in top academic journals or conferences.
  • Love improving existing code by fixing typing issues, adding tests and improving CI pipelines.
Benefits

We have local offices in Paris, London, Marseille, Singapore and Palo Alto.

France

💰 Competitive cash salary and equity

🥕 Food:
Daily lunch vouchers

🥎 Sport:
Monthly contribution to a Gympass subscription

🚴 Transportation:
Monthly contribution to a mobility pass

🧑⚕️ Health:
Full health insurance for you and your family

🍼 Parental:
Generous parental leave policy

🌎 Visa sponsorship

UK

💰 Competitive cash salary…

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