About the role

Applied Scientist / Research Engineer focusing on multimodal learning at Mistral AI, designing and deploying state-of-the-art multimodal models for diverse AI use cases.

Responsibilities

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.

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 you 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.

💰 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
💰 Competitive cash salary and equity
🚑 Insurance
🚴 Transportation: Reimburse office parking charges, or 90GBP/month for public transport
🥎 Sport: 90GBP/month reimbursement for gym membership
🥕 Meal voucher: £200 monthly allowance for its meals
💰 Pension plan: SmartPension (percentages are 5% Employee & 3% Employer)