Top Machine Learning Jobs in France

Design, build, and operate Doctolib's Medical Knowledge Platform: end-to-end indexing and retrieval for clinical AI. Implement large-scale vector search, embeddings, custom re-rankers, query processing, RAG systems, and retrieval evaluation to ground AI decisions in validated medical sources and meet strict latency and throughput requirements.

Build foundational MLOps infrastructure and deploy multi-model CV and VLM systems for authentication and fraud detection. Design data/feature management, model tracking, serving, monitoring, and automated retraining pipelines. Scale ML capabilities for search, recommendations, pricing, and marketing while ensuring low-latency, high-throughput production services and strong engineering hygiene.

The Senior Machine Learning Engineer will design and implement ML pipelines, optimize LLM performance, and collaborate on AI infrastructure for cost-efficient solutions.

Own and optimize model compilation and delivery for edge accelerators; build compile/delivery pipelines, benchmarking and profiling tools; contribute to inference execution providers and SDK; coordinate with on-board software and runtime teams to meet power, thermal, and performance budgets.

As a Python Developer in the AI & ML team at IDnow, you will design and maintain micro-services for AI-based fraud detection, optimize algorithms, ensure code quality, and collaborate with product owners to meet customer needs.

As an AI/ML Engineer, develop and optimize models for mobile apps, collaborate with teams, and implement AI techniques to enhance user experience.

You will optimize ML infrastructure, automate ML pipelines, manage versioning, and collaborate with engineers to ensure model scalability and reliability.

Design and develop machine learning models for speech recognition at Sonos, focusing on audio-based components and collaborating with teams for performance optimization and mentoring.

Lead research and development of AI accelerator/NPU IPs for embedded products. Architect RTL and hardware to meet power/performance/area targets, collaborate with compiler and software teams, model systems, and mentor cross-functional teams toward chip tape-out.

As a Senior Machine Learning Engineer at Sonos, you will develop and optimize AI models for voice control systems, ensuring efficient performance across various hardware.

Develop and implement 3D geometric ML and classical geometry algorithms to analyze and generate 3D intraoral scans and teeth. Build data pipelines, train/adapt 3D models, optimize test-time performance, validate robustness, and collaborate with clinicians and product teams to ship applied research into products.

The intern will assist the applied machine learning engineering team in developing recommender systems, training models, and enhancing the core recommendation platform.

Conduct R&D on web page understanding to build ML-based security features (autofill, phishing detection). Collect and process large datasets, train and deploy models, maintain pipelines, integrate LLM/RAG systems, and collaborate with engineering and product teams to productionize privacy-preserving AI features.