Mistral AIApplied AI, Forward Deployed Machine Learning Engineer - (Internship)
Mistral AI is hiring an Applied AI, Forward Deployed Machine Learning Engineer - (Internship) in Paris, France. Level rates it ; you can apply on Mistral AI.
Level's read on this job
- Builds AI ●●●● is how Level rates this machine learning engineer role: the job is building AI systems.
- The posting mentions PyTorch, Python and MLOps among its tools and skills.
- Level classes it as an internship.
- Mistral AI has 234 other open roles on Level.
AI in this role
Contribute to the deployment of state-of-the-art generative AI applications and collaborate with customers on machine learning challenges.
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.
The Role
As an Applied Engineering Intern, you will work closely with our Applied AI Engineering team to facilitate the adoption of Mistral AI products among customers and collaborate with them to address complex technical challenges. This role is based in Paris, with an internship duration of 6 months. We are open to CIFRE programs as a continuation after the internship.
What you will do
• Contribute to the deployment of state-of-the-art GenAI applications, driving technological transformation with our customers.
• Collaborate with researchers, AI engineers, and product engineers on complex customer projects.
• Work with the product and science team to continuously improve our product and model capabilities based on customer feedback.
How We Work in Applied AI
- We care about people and outputs.
- What matters is what you ship, not the time you spend on it
- Bureaucracy is where urgency goes to vanish. You talk to whoever you need to talk to. The best idea wins, whether it comes from a principal engineer or someone in their first week.
- Always ask why. The best solutions come from deep understanding, not from copying what worked before
- We say what we mean. Feedback is direct, timely, and given because we care.
- No politics. Low ego, high standards.
- We embrace an unstructured environment and find joy in it.
About you
• You are currently pursuing a degree in AI, data science, or a related field from a tier 1 engineering school or university.
• You have strong programming skills in Python.
• You are familiar with machine learning algorithms and natural language processing techniques.
• You hold basic understanding of MLOps and deploying machine learning use cases.
• You have good communication skills with the ability to explain technical concepts to both technical and non-technical audiences.
Ideally you have:
• Experience with deep learning frameworks such as PyTorch.
• Familiarity with version control systems (e.g., Git) and Linux shell environment.
• Experience working in HPC Environments
• Publication record in AI or a related field
Location & work authorization: This internship is available only in France. Please apply only if you have the required work authorization to complete the internship in the relevant country for its full duration.
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 AI, Forward Deployed Machine Learning Engineer - (Internship) at Mistral AI rates 90 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 machine learning engineer jobs at this level
Pay
- Typical machine learning engineer job
- $197k
This posting doesn't list pay. Use the typical machine learning engineer figure when pay comes up. See machine learning engineer jobs
Questions you could be asked
- How do you monitor a model once it's live, and how do you know it needs retraining?
- What NLP problem have you worked on, and how did you measure whether it actually worked?
- Tell me about a project where machine learning was part of your work. What did you do?
- Tell me about a project where natural language processing was part of your work. What did you do?
- Tell me about a project where mlops was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: ML Ops, NLP, Machine learning, Natural Language Processing, and MLOps. 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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