Top Software Engineer Jobs in Lyon

Train large language models to improve code quality by ranking, repairing, and refactoring code snippets while providing detailed explanations for feedback.

The Software Engineer will train large language models to generate and improve code through ranking and editing. Responsibilities include repairing AI-generated code and providing detailed feedback for model refinement.

This role involves training large language models to write code, ranking code snippets, and ensuring AI-generated code is correct and efficient. Strong communication skills are essential for explaining code improvements.

The Software Engineer, AI will train large language models by ranking and repairing AI-generated code while providing feedback into the RLHF pipeline.

As a Software Engineer, you will train large language models by reviewing code snippets, injecting feedback into the RLHF pipeline, and improving AI-generated code.

The Software Engineer will design, develop, and maintain backend APIs, enhance backend architecture, and collaborate on B2B solutions while ensuring performance and scalability.

The role involves training large language models to write production-grade code, comparing snippets, refactoring code, and providing feedback for reinforcement learning processes.

The role involves training large language models to write production-grade code using Java, performing code reviews, refactoring, and providing detailed explanations for coding decisions.

Train large language models to write production-grade code across languages, review and improve AI-generated code, and maintain the RLHF feedback pipeline.

As a Rust Software Engineer, you'll train large language models to generate and refine code, compare snippets, and ensure quality through detailed code reviews.

The Software Engineer will train large language models by reviewing code snippets, improving AI-generated code, and providing detailed feedback, ensuring efficiency and correctness.

As a Software Engineer in AI, you will train large language models, rank and review code snippets, and provide feedback for improvements.

Train large language models to write code by reviewing code snippets and providing feedback for improvements. Requires 3+ years of Ruby experience.

Develop and implement AI agents, design systems, integrate solutions, monitor performance, collaborate with teams, create documentation, and ensure quality through monitoring and optimization of AI products.

As a Senior Software Engineer at Razer, you will develop high-performance C++ systems for real-time game data acquisition, event tracking, and video generation, while optimizing engine performance and ensuring system reliability.

As a Front End Web Developer, you'll create and maintain web applications for the CAE product suite, collaborate with engineers, and ensure code quality in an Agile environment.

As a Java Developer, you will contribute to the development of high-value projects using Java and SpringBoot, while working in an Agile environment and enhancing your technical skills.

The role involves building self-service platform services using Go, automating operational workflows, scaling Kubernetes, and ensuring reliability in cloud environments.

As a Software Engineer, you'll develop software for Ceph and distributed storage, collaborating with a global team to enhance cloud solutions.

Canonical is hiring a Software Engineer to develop features for Kubernetes, focusing on operators and integrations while collaborating in a distributed team.

The Software Engineer will develop high-performance, real-time haptic systems, designing and optimizing engine components, and collaborating across teams for integration.

As a Fullstack Engineer, you will build core features of Dataiku DSS, focusing on data preparation, AI features, visualization, MLOps, and platform scalability while utilizing various technologies.

Build and maintain high-performance, production-grade UIs using React and TypeScript. Collaborate with backend engineers and product managers to design APIs, implement AI-driven features, and develop advanced, real-time data visualizations while contributing to the internal design system and optimizing performance.

As a Mid-Level Backend Engineer, you'll enhance the reliability, observability, and scalability of the EVC platform by building API integrations, improving system performance, and strengthening infrastructure.

Design, develop, and deploy AI-driven applications, collaborating with data scientists while ensuring scalable and reliable products that address customer needs.