Mistral AIApplied Scientist, South Korea
Mistral AI is hiring an Applied Scientist, South Korea for a remote role open to applicants in South Korea. Level rates it ; you can apply on Mistral AI.
Level's read on this job
- Level rates this applied scientist role Builds AI ●●●●: the job is building AI systems.
- The posting lists this role as remote.
- Tools and skills the posting cites include PyTorch, JAX and Python.
- Level classifies it as a senior role.
- Level lists 234 other open roles at Mistral AI.
AI in this role
Applied Scientist to train, evaluate, and deploy state-of-the-art multimodal AI models on large-scale GPU clusters.
About Mistral
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.
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 Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
About The Job
Mistral AI is seeking Applied Scientists and Research Engineers to drive innovative research and collaborate with clients on complex research projects.
You will develop SOTA models across different modalities such as text, image, and speech. By developing novel methods and research ideas you will apply these models across a diverse set of use cases and domains. Working cross-functionally with both external and internal science, engineering, and product teams you will deliver high-impact AI solutions that turn the needle.
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 data for pre-training and post-training, working on evaluations and making sure the model’s performance beats expectations.
• 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 Korean, 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 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.
What We Offer
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page.
Privacy Policy
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy.
How we rate this
Applied Scientist, South Korea at Mistral AI rates 95 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in applied scientist jobs at this level
Pay
- Typical applied scientist job
- $167k
This posting doesn't list pay. Use the typical applied scientist figure when pay comes up. See applied scientist jobs
Questions you could be asked
- How would you design a retrieval step so the model answers from real data instead of guessing?
- Tell me about a project where deep learning was part of your work. What did you do?
- Tell me about a project where model training was part of your work. What did you do?
- How do you decide when an AI agent can act on its own versus asking for approval first?
- Tell me about a project where distributed systems was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: RAG, Deep learning, Model Training, AI agents, and Distributed Systems. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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