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.
Mirakl is trusted by Macy’s, Saks, Henry Schein, The Knot, 1800-Flowers, Best Buy, Lowe's, Ulta and 450+ industry-leading businesses worldwide. For more information: www.mirakl.com.
We’re looking for an AI Engineer to join the Post-Processing & Evaluation squad working on Mirakl’s AI Catalog Transformer, a GenAI-native product that powers catalog and content enrichment across Mirakl Connect.
This is a hands-on, growth-oriented role where you’ll contribute to improving the quality, reliability, and trustworthiness of GenAI models and outputs, while learning from experienced AI engineers and data scientists.
About the RoleAs a AI Engineer, you will:
- Contribute to the development and optimization of post-processing pipelines that clean, structure, and validate AI-generated content
- Support the design and execution of model evaluation workflows, including automated metrics and human-in-the-loop assessments
- Help build and maintain internal tools used by business teams (Sales, Customer Success, Support) to monitor and explain AI output quality
- Participate in ground truth data curation, annotation quality control, and preparation of datasets for fine-tuning
- Collaborate with AI Engineers, Data Scientists, and Product Managers to deliver high-quality, production-ready features
- Continuously learn about GenAI models, evaluation techniques, and software/data engineering practices
What We’re Looking For
- Up to 2 years of experience in AI/ML, data science, or software engineering
- Solid Python skills and knowledge of data tools (SQL, pandas, etc.); experience with ML or LLMs is a plus
- Interest in GenAI evaluation, model quality, and post-processing
- Curiosity, attention to detail, and a hands-on mindset
- Strong communication skills in French & English, and ability to work cross-functionally
- Eagerness to learn and grow in a fast-paced AI team
- Work on one of Mirakl’s most strategic GenAI products
- Learn from senior AI engineers and contribute to meaningful production use cases
- Build a foundation in GenAI evaluation, annotation systems, and product-centric AI
- Collaborate with a multidisciplinary team bridging AI, product, and customer impact
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 hyper-growth company at the heart of digital transformation for the world’s most forward-thinking organizations, we strongly encourage you to apply to any of our roles, even if you think you’re not an exact match.
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What We Do
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.
Mirakl is trusted by Macy’s, Saks, Henry Schein, The Knot, 1800-Flowers, Best Buy, Lowe's, Ulta and 450+ industry-leading businesses worldwide.
Why Work With Us
At Mirakl you will have all the advantages of a start-up environment: innovation, adaptability, autonomy, flexible process, and a real involvement in decision making. Each employee contributes to Mirakl’s success, either as a group or individually, by using their unique skills and working in harmony with our corporate values.
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Mirakl Offices
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Employees engage in a combination of remote and on-site work.
