About Mirakl:

Mirakl is the leading provider of eCommerce software solutions. Mirakl's suite of solutions provides enterprises with a transformative way to drive significant growth and efficiency in their online business.

Since 2012, Mirakl has been pioneering the platform economy, empowering retail and b2b enterprises with the most advanced, secure and scalable technology to digitize and expand product assortment through marketplace and dropship, improve efficiency in supplier catalog management and payments, personalize shopping experiences, and boost profits through retail media.

In July 2025, Mirakl launched Mirakl Nexus, the first neutral infrastructure designed for agentic commerce. Built on Mirakl’s 13 years of expertise and innovation, and powered by an ecosystem of more than 100,000 sellers, Mirakl Nexus connects merchants and AI agents to automate product discovery, payments, and after-sales service.

For more information: www.mirakl.com.

→ Our teams work together daily to develop the roadmap for our SaaS solutions while addressing the issues faced by our customers and users, tackling a range of challenges related to new features, scalability, security, and usability.

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

- 💰 Series E funding: $555M | Valuation: $3.5B+

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

About the job

You’ll join our Data Science team, where your main mission will be to prototype, iterate, and ship algorithms to production in close collaboration with Product, Data Engineering, and Software teams. Your projects will focus on Marketplace catalog challenges, including NLP, Computer Vision, and large-scale Generative AI (custom LLMs). The topics you’ll tackle will have a real impact on our customers: we aim to make the most of our rich, diverse data to grow their revenue, streamline marketplace operations, and ensure user and transaction safety.

We’re hiring on a permanent contract (CDI), based in Paris, Bordeaux, or fully remote. As part of our Data team (60+ people), you will work on:

Catalog topics:

• Automatic rewriting of marketing content based on business needs
• Extracting product attributes from images and free text
• Detecting product variants
• Product categorization
• Automated onboarding of sellers’ products
• Merging product pages from multiple sources
• Predicting trending products
  
  

What’s in it for you:

• Build algorithms that visibly impact 500+ e-commerce/marketplace sites in 40 countries, including some with very high volumes (millions of products, customers, and orders per year)
• Work with cutting-edge techniques (multimodal models, LLM fine-tuning, etc.). Mirakl is one of the few French players with fine-tuned LLMs in large-scale production. Join us and keep pushing that pioneer spirit
• Real autonomy and ownership over your projects

Our stack and tools:
Python, Tensorflow, Pytorch, Hugging Face, Databricks, Spark, AWS (Amazon Redshift, s3, etc.), SQL, Airflow, Delta Lake. Spécifiques LLM : Autotrain, Unsloth, Galileo, LangChain, Anyscale.

Day to day, you will:

• Analyze and prepare data, prototype algorithms
• Put them into production with Data Engineers and dev teams
• Build dashboards to demonstrate algorithm performance and monitor production
• Present results at the weekly data science meeting and join team brainstorms
• Partner with other teams to refine use cases, user experience, and integration paths

You’ll love this job if:

• You have at least 4 years’ experience as a Data Scientist, with strong hands-on NLP and applied ML in industry
• You’ve deployed Machine Learning algorithms to production
• You know NLP and Computer Vision algorithms and state-of-the-art architectures (e.g., Transformers). Knowledge of the latest LLMs is a plus
• You’re fluent in Python and TensorFlow and/or PyTorch
• You have experience with Spark development
• You’re pragmatic, data-driven, and business-oriented
• You take full ownership of your topics, work autonomously, and are a great team player
• You bring a positive mindset: respect and kindness are core to your values
• You enjoy sharing your work through internal talks, conferences, or writing

Meet Arthur Delaitre, Data Science Manager for the team:

Wants to join us ? ⭐

• A 30-minute phone call with one of our Tech recruiters. We’ll discuss your background, expectations, and what Mirakl can offer you
• A 30-minute technical Zoom with someone from the Data Science team to dive into concrete aspects of your expertise and how it fits our projects
• A take-home assignment
• A 75-minute technical debrief and discussion with the Data Science team manager
• A final 1-hour Zoom with future Mirakl colleagues about our values and culture

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 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.