Role overview
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.
- 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
Nous recrutons des collaborateurs aux parcours et expériences très différentes pour nous aider à grandir. Ceux-ci dépassent souvent les exigences professionnelles conventionnelles et nous aident à créer une culture d'apprentissage continu. Si vous êtes prêt à rejoindre un leader mondial qui soutient la transformation e-commerce de plus de 450 reatilers et organisations B2B parmi les plus innovants au monde. Nous pouvons utiliser des solutions d'intelligence artificielle (IA) pour rationaliser notre processus de recrutement, notamment pour présélectionner les candidatures, analyser les CV et évaluer les réponses. Si l'IA nous aide à travailler efficacement, toutes les décisions finales en matière de recrutement sont prises par des humains. Pour plus d'information, consultez notre AI Guidelines for Candidates and Interviews.