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Applied AI, Forward Deployed Machine Learning Engineer - (Internship)
Paris, Ile-de-France, France
Actively hiring, first seen by us today- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Internship — employment source
Employment type in the employer’s posting: Intern
From the employer’s posting
Before you apply
- New graduates
- For current students
You are currently pursuing a degree in AI, data science, or a related field from a tier 1 engineering school or university
- Work authorization
- Must already have the right to work
Please apply only if you have the required work authorization to complete the internship in the relevant country for its full duration
What you’ll work on
Full postingCollaborate 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.
From the employer’s posting
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.
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
What you’ll bring
All qualificationsCore experience
- You have good communication skills with the ability to explain technical concepts to both technical and non-technical audiences.
- 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
Qualification wording
You have good communication skills with the ability to explain technical concepts to both technical and non-technical audiences.
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
Benefits in the posting
Full benefits wording- 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.
- Privacy Policy
From the employer’s posting.
About mistral.ai
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute.
In the employer’s words · Read in context
Posting record
Report an errorActively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 9, 2026today
- Recorded sightings
- 1
- Employer says posted
- Sep 14, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
mistral.ai is hiring
18 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- Shell
- PyTorch
Where the posting names them
• 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.
• 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
Ideally you have: • Experience with deep learning frameworks such as PyTorch. • Familiarity with version control systems (e.g., Git) and Linux shell environment.
Your next step
Complete your application on jobs.ashbyhq.com. The employer’s form will show what is required.
Applying through Ashby
- No account needed. “Autofill from resume” at the top of the form fills the key fields from your file.
Already applied? Track this application
Demand for ML Engineer roles
New ML Engineer postings at the employers we follow are up 13% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
US government figures for computer and information research scientists
- Median yearly pay, May 2025
- $140,300
- Expected change, 2025 to 2035
- 21.8% more jobsagainst 3.5% for all jobs
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
Job description
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.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Paris, Ile-de-France, France
Working pattern and location restrictions need checking in the full posting.
- Work authorization
• 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