Research Intern H/F Mirakl

They also address the issues faced by our customers and users, responding to various challenges related to new features, scalability, security, and usability.

About the internship

As part of our Data department and within the R&D team, you'll have the opportunity to work on innovative research projects and contribute to the development of machine learning and artificial intelligence algorithms. You'll work closely with experienced research engineers and data scientists to explore new models, analyze complex datasets, and create solutions that will have a direct impact on our products.

We're recruiting for a 6-month end-of-studies internship starting between January and May 2026.

You'll be supervised by a senior AI Research Engineer throughout your internship to guide you through your research, hypothesis validation, implementation of innovative solutions, and refinement of your technical skills.

See what we're building in the Data team:

Our stack and tools

Python, Hugging Face, Databricks, AWS, Spark, Airflow, SQL, AnyScale, vLLM, KServe, Galileo, OpenAI, Mistral, ...

On a daily basis, you will:

- Translate and adapt ideas from research papers into code using machine learning frameworks, delivering outputs such as models, embeddings, code, etc.
- Actively monitor and stay informed of the latest academic advances and practices in Machine Learning / Artificial Intelligence models and share them with the team
- Collaborate closely with other teams to identify new opportunities for innovation aimed at improving AI-related products and features

Here are some projects for the internship:

- Out of domain detection for LLMs: detect automatically out-of-domain queries in order to avoid hallucinations, inappropriate answers or silent bugs.
- Modeling user behavior user behaviors using Graph Neural Networks to predict links (user-product, product-product view or order, etc.) to boost click-through-rate of our recommender systems
- Design and implement a large-scale, qualitycontrolled evaluation framework across retail oriented models; publish findings through an academic publication

You will be a strong fit for this role if:

- You're in your final year of a Master's degree (Bac +5) from an engineering school or university in applied mathematics
- You're fluent in French; English is a plus
- You know Python and its data science modules (pandas, sklearn, pytorch, tensorflow, transformers...)
- You're familiar with data preparation techniques and feature engineering
- You know statistics, machine learning, and deep learning algorithms
- You enjoy research monitoring, reading research papers, and following SOTA models
- You can clearly explain technical topics to a non-expert audience
- You enjoy working in a team
- You're responsive, service-oriented, with good listening skills, strong interpersonal abilities, and stress management
- You're curious, autonomous, and proactive

Interview Process:

- 30-minute phone call with the recruitment team
- Take-home practical case study
- 1-hour Zoom meeting with the internship supervisor + 45-minute Zoom on our values

What we offer you:

- Internship allowance: €1,600 per month (end-of-studies internship)
- The possibility of being offered a permanent contract at the end of the internship
- A workplace in the 16th arrondissement that promotes well-being and balance: breakfasts, sports and yoga classes, after-work drinks, game nights, CSE benefits...
- A tailored onboarding journey to quickly build your skills
- A unique opportunity to discover a French unicorn in full expansion and work with international teams
- A healthy mind in a healthy body, thanks to Gymlib pass-take time for yourself!
- Swile meal voucher card
- Transportation coverage (50% Navigo pass, bike, etc.)

We welcome collaborators with their diverse perspectives and experiences to power us forward. These often far exceed conventional job requirements and help us create a culture of continuous learning. If you're ready to join a global leader powering digital transformation for 450+ of the world's most innovative retailers and B2B organizations, we strongly encourage you to apply to any of our roles, even if you think you're not an exact match.
We may use Artificial Intelligence (AI) solutions to help streamline our hiring process, including screening applications, analyzing resumes, and assessing responses. While AI helps us work efficiently, all final hiring decisions are made by humans. For more information, visit our .