About Mirakl:
Founded in 2012, Mirakl has been at the forefront of marketplace innovation, empowering every business to compete in the platform economy.
Today, Mirakl’s operating system combines an enterprise marketplace solution (Mirakl Platform) that enables retailers and B2B organizations to launch, scale, and operate marketplaces and dropship, AI-powered multichannel selling (Mirakl Connect), retail media (Mirakl Ads) and an agentic commerce infrastructure (Mirakl Nexus).
With dual headquarters in Boston and Paris, Mirakl helps a global ecosystem of 450+ marketplaces (B2C and B2B) and a network of over 100k third-party marketplace sellers. Brands like Macy’s, Decathlon, Carrefour, Asos, and Airbus Helicopters use Mirakl to grow their businesses in new and remarkable ways.
For more information: www.mirakl.com.
Mirakl in Numbers:
- 🗓️ Founded in 2012 | Member of French Tech Next40
- 👥 750+ employees in 9 offices worldwide: Paris, Barcelona, Bordeaux, Boston, London, Munich, New York, Sydney, Tokyo
- 🇫🇷 350+ Mirakl Tech teams members mainly based in France
- ⚙️ 5 Saas Solutions
Our Values:
Working at Mirakl means accelerating your career alongside ambitious, passionate, and supportive colleagues. We're proud of the diversity of backgrounds, perspectives, and experiences that make our teams unique.
Our 5 values guide how we collaborate:
- 💡 Work Hard Together: Teamwork and collaboration are the foundation of our success
- 🏆 Get Things Done: We prioritize action and efficiency for impactful results
- 🚀 Go Above & Beyond: We tackle challenges proactively and always aim for excellence
- 🎓 Succeed Through Expertise: Knowledge sharing and continuous learning are core to our culture
- 🤝 Satisfy & Empower Clients: We're committed to our clients' success
AI Research Intern - 2027
1. The Team You'll Join
You'll be part of our R&D team, led by Robin Vaysse, Senior AI Researcher.The team consists of 5 Research Engineers embedded within a broader Data department of 70 people. Together, you'll be pushing the boundaries of AI and machine learning to build innovative solutions that directly power Mirakl's products.
2. Your Impact
- Conduct a structured literature review of LLM routing approaches (learned classifiers, preference-based routers, cascades) to map the state of the art
- Design and implement a routing method that automatically selects the most suitable language model for a given task
- Evaluate your solution on real product data, measuring performance across quality, cost, and latency dimensions
- Collaborate with experienced Research Engineers and Data Scientists to iterate on hypotheses and refine your approach
- Contribute to the broader R&D roadmap by documenting findings and presenting results to technical and non-technical stakeholders
3. What You'll Bring to the Role
Experience:
- Final year of a Master's degree (Bac+5) in applied mathematics, from an engineering school or university
- Solid grounding in statistics, machine learning, and deep learning
- Familiarity with data preparation techniques and feature engineering
- Demonstrated interest in research: comfortable reading academic papers and tracking state-of-the-art models
Skills:
- Python and core data science libraries (pandas, scikit-learn, PyTorch, TensorFlow, Transformers)
- Machine learning & deep learning
- Data preparation & feature engineering
- Research analysis and synthesis
- Ability to communicate technical concepts clearly to non-expert audiences
4. Tech Stack
Python, Hugging Face, Databricks, AWS, Spark, Airflow, SQL, AnyScale, vLLM, KServe, Galileo, OpenAI, Mistral
5. Languages
- French: Fluent (required)
- English: Professional proficiency - B2/C1
6. Compensation, Perks & Benefits
Pay Range: €1,600/month (end-of-studies internship)
Perks & Benefits:
- Opportunity to be offered a permanent contract at the end of the internship
- A workplace in the 16th arrondissement designed for well-being: breakfasts, sports and yoga classes, after-work drinks, game nights, and CSE benefits
- A tailored onboarding journey to hit the ground running
- Gymlib pass to take care of your health
- Swile meal voucher card
- 50% transport coverage (Navigo pass, bike, etc.)
7. Our Hiring Process
We warmly encourage you to apply to any of our roles, even if you think you're not an exact match.
Please click the "Apply" button to submit your application — this helps us make the best possible assessment and get back to you as quickly as possible.
- Manual screening of your CV by a recruiter, followed by an AI-powered screening conversation (10 min) with Emma, Mirakl's AI Talent Ambassador, to explore your background and motivation for the role. You will need to complete this step within 3 days, otherwise we won't be able to move forward with your application.
- 45-minute phone call with the recruitment team
- Interview with your future manager
- Interview with a future colleague, using structured STAR-method interviews to ensure transparency and fairness.
- Welcome to Mirakl! 🎉
See What We're Building in the Data Team
This is an internship position based in Paris, with up to two days of remote work permitted per month.
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.
As part of our recruitment process, Mirakl processes your personal data to review and manage your application and, where appropriate, to consider your profile for future opportunities. You can exercise your data protection rights at any time, and as further detailed in our policies. For more information about how we process your personal data and your rights, please consult our Recruitment Privacy Notice, here in English and here in French.
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 AI Guidelines for Candidates and Interviews.
