Applied Scientist / Research Engineer - Multimodal (Come to Singapore)

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 https://mistral.ai/careers.

About The Job

Mistral AI is seeking world class Applied Scientists and Research Engineers who wish to relocate to Singapore.

You will be 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 SOTA 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 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.

Benefits

Singapore

💰 Competitive cash salary and equity

🚑 Health Insurance

🥎 Sport : $90 for gym membership allowance

🥕 Food : $200 monthly allowance for meals (solution might evolve as we grow bigger)

🚴 Transportation : $120/month for public transport or Parking charges reimbursed