Machine Learning Engineer : 6 employeurs, un intitulé

- Concevoir, builder et optimiser le stack agentique qui fait tourner nos agents conversationnels et autonomes — avec un vrai souci de fiabilité, de scalabilité et de faible latence en prod. - Architecturer et maintenir nos features LLM de bout en bout : orchestration de modèles, routing, monitoring, logging et évaluation. - Développer et améliorer l'infrastructure ML : observabilité, load balancing, patterns de scaling, workflows de déploiement. - Construire des datasets et pipelines d'évaluation robustes pour des systèmes déterministes (ASR) et non-déterministes (LLMs et agents), pour améliorer en continu la qualité. [...]

Data isn't a support function at Vibe — it's the fuel. Every decision about which ad reaches which household, and when, runs on it. You'll join the Data Platform team and specialize in identity: turning billions of raw events into coherent, usable entities that power targeting, measurement, and the training sets our models learn from. You'll report to [Manager Name], [Manager Title]. This role exists because identity resolution at our scale is a hard, unsolved problem, and we need someone who can build models that catch the right signal across petabytes of events. [...]

As part of the Machine Learning team, you will play a crucial role in developing, refining, and scaling our AI Agent, which automatically addresses and resolves shopper requests for our merchants. You will optimize and implement solutions that enhance the efficiency, accuracy, and functionality of our AI-driven customer support and marketing solutions. - Machine learning: - Own feedback loops, observability, and continuous training for deployed systems and models (Hugging Face, Vertex AI, multiple LLM providers) - Work on agentic LLM systems, retrieval-augmented generation (RAG), and NLP classifiers. - Solve product-facing problems using classical NLP and/or LLMs. [...]

- Build and own Doctolib's Medical Knowledge Platform, designing the systems that ground clinical AI decisions in validated medical sources (HAS guidelines, learned society recommendations, clinical studies) - Design and maintain both indexing pipelines and retrieval systems, ensuring end-to-end ownership across the full retrieval stack - Operate at scale: architect and optimize systems handling 100M+ documents, 50+ req/s, and sub-300ms latency requirements - Build custom re-rankers, optimize query processing pipelines, and design robust retrieval evaluation frameworks [...]

Harmattan AI is heavily pushing the boundaries of autonomous systems, where the perception of the surrounding world through visual cues is a vital component. To make sense of incoming visual data and enable mission-critical downstream decisions, we have developed custom detection models. As our product and project portfolio expands, we are diversifying our efforts in this space across multiple embedded platforms. As an ML Research Engineer in the Detect&Track Distillation team, you will join us at a very early stage, giving you a unique opportunity to heavily influence the technical direction of the team. [...]

We are seeking a Foundational Machine Learning Engineer for a high-impact greenfield opportunity to build our MLOps infrastructure from the ground up at Vestiaire Collective. While driving our AI authentication initiatives (deploying multi-model approaches including computer vision for luxury product authentication and counterfeit detection) will be your immediate focus, your long-term mission will be to scale foundational architecture across the entire marketplace. You will expand our ML capabilities to power broader domains, primarily focusing on search and recommendation systems, with future expansions into dynamic pricing and marketing technologies. [...]