AI Scientist Intern - (Internship, Masters or Phd)

Mistral AI is hiring an AI Scientist Intern - (Internship, Masters or Phd) for a remote role open to applicants in France. Level rates it ; you can apply on Mistral AI.

Level's read on this job

Level rates this role Builds AI ●●●●: the job is building AI systems.
The posting lists this role as remote.
Tools and skills the posting cites include PyTorch, TensorFlow and fine tuning.
Level lists 232 other open roles at Mistral AI.
The role was posted in the last few days.

AI in this role

PyTorchTensorFlow

fine-tuningml-opsai-evaluationnlp

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 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.

Mistral AI are hiring experts in the role of pre-training and fine-tuning large language models.

Role Summary

-You will be working with the fine tuning team on making state-of-the-art generative models.

-You will run autonomous work streams under the supervision of experienced scientists.

-The role is based in one of our offices in Paris, London, Zurich or Warsaw.

-Internship duration : 6 months. We will only consider candidates looking for end of studies internships (Master or Phd)

What you will do

-Explore state-of-the-art LLM algorithms for fine tuning LLMs, with the supervision of top level scientists.

-Assist in the design and implementation of machine learning models and algorithms.

-Conduct research on the latest advancements in natural language processing and LLMs.

-Contribute to the development and optimization of our LLM systems.

-Collaborate with cross-functional teams to integrate LLM technologies into various applications.

-Perform data analysis and visualization to support research and development efforts.

-Document research findings and contribute to technical reports and publications.

-Participate in team meetings and brainstorming sessions to share ideas and insights

About you

-Currently doing a Master or PhD at a tier 1 engineering schools / Universities.

-High scientific understanding of the field of generative AI.

-Broad knowledge of the field of AI, and specific knowledge or interest in fine-tuning and using language models for applications.

-Strong programming skills in Python, with experience in libraries such as TensorFlow, PyTorch, or similar.

-Familiarity with natural language processing techniques and machine learning algorithms.

-Design complex software and make them usable in production.

-Navigate the full MLOps technical stack, with a focus on architecture development and model evaluation and usage.

-Previous experience with LLMs or related technologies.

-Knowledge of deep learning frameworks and techniques..Experience with version control systems (e.g., Git) and linux shell environment.

Now, it would be ideal if you :

-Have experience in fine tuning LLMs.

-Have used complex HPC infrastructure with full autonomy.

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

AI Scientist Intern - (Internship, Masters or Phd) at Mistral AI rates 98 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.

Classification

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.

Key facts

AI Scientist Intern - (Internship, Masters or Phd) is an open job at Mistral AI.
Level rates this role AI Level 4 of 4: Builds AI.
The role is based in Paris and is marked remote.
The job was posted on November 6, 2026.
Seniority: intern.
Applications are handled by Mistral AI. Apply on Mistral AI

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Fine-tuningML OpsAI EvaluationNLPPyTorchTensorFlow

Questions you could be asked

Walk me through fine-tuning a model: what data did you use, and how did you check the result?
How do you monitor a model once it's live, and how do you know it needs retraining?
How do you decide that one model's output is better than another's for a given task?
What NLP problem have you worked on, and how did you measure whether it actually worked?
Walk me through how you've used PyTorch in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Fine-tuning, ML Ops, AI Evaluation, NLP, and PyTorch. 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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