Top Machine Learning Jobs in Paris

As a Senior Research Engineer, you will work on applying generative AI models for video production and improving model performance in avatar rendering, utilizing your expertise in post-training techniques.

As a Solutions Architect at NVIDIA, you will provide technical guidance, develop AI solutions for financial services, and support stakeholders.

The Director of Strategic Solutions will engage with global customers to develop AI use cases, manage relationships, and drive digital transformation sales through collaboration with engineering and marketing teams.

As an ML Engineer, you'll build, deploy, and maintain real-time recommendation models, develop APIs and MLOps pipelines, and work on infrastructure improvements.

As a Senior Test Engineer, you'll lead the redesign of testing infrastructure for Hugging Face's Transformers team, ensuring it scales with growing demands. You will also establish best practices and collaborate with cross-functional teams to embed testing in project development.

As a Machine Learning Engineer, you'll optimize monetization using ML models, drive initiatives from ideation to deployment, and collaborate on model development.

As a Software Engineer on the Applied ML team, you will design and implement solutions for customers, utilizing AI and ML technologies throughout the product lifecycle.

As a Software Engineer in Applied ML, you'll design solutions for enterprise AI, focusing on product lifecycle and large language models.

The Applied AI Engineer will onboard clients on Mistral AI products, manage complex integrations, and drive technological transformations through collaboration with stakeholders.

As a Research Engineer in ML, you'll optimize large-scale ML systems, collaborate with Research Scientists, enhance models, and implement algorithms in Python.

Drive independent, high-impact research on frontier AI topics, publish findings, collaborate widely, and mentor new researchers in the field.

The Applied Scientist will solve impactful problems using deep learning models and statistical analysis, translating commercial goals into technical solutions.

As a Senior Research Engineer, you will manage data lifecycle for researchers, build a human-centric data lake, and enhance model performance through high-quality datasets in an AI-driven environment.

Design machine learning algorithms and build scalable model-serving infrastructure. Collaborate effectively with core teams on ML solutions and lead discussions.

The Senior Quality Operations Engineer will manage quality systems, ensure compliance with regulations, oversee audits, and optimize workflows in medical technology.

Lead and develop the AI/ML Engineering team for Terabase's software product. Oversee AI/ML initiatives, collaboration across teams, and ensure product quality.

The AI/ML & Computer Vision Engineer will develop intelligent workflows using AI and ML to enhance product design processes and simulate scenarios.

The AI Solutions Engineer will collaborate with sales teams to address client needs, provide technical solutions, and support integration while showcasing Gladia's speech AI tools.

Join the Data Lab team at Coface to design, develop, and deploy Machine Learning solutions, contributing to innovative projects and knowledge sharing.

As a Data Science Graduate Student Intern, you will research solutions to scientific problems, collaborate with academia, and deploy findings in production with engineers.

Nebius seeks a Senior ML Engineer for AI R&D focusing on applied research in reinforcement learning and agent training, requiring deep expertise in machine learning and software engineering.

Lead the AI/ML team to develop innovative solutions for environmental challenges, emphasizing strategic guidance, collaboration, and team empowerment.

Design and maintain ML code for LLM safety, implement techniques for robust evaluation, and collaborate with product and engineering teams.

The role involves owning an LLM safety domain, generating synthetic data, training LLMs, conducting benchmarking, and developing techniques for safer models. Co-author research papers with the team.

The ML Engineer will develop AI-based interactions for voice control, focusing on machine learning lifecycle tasks including data generation and model training while collaborating with other teams.