Top Software Engineer Jobs in Lyon

The role involves deploying new Synthetics locations, developing management tools, automating migrations, shaping infrastructure technologies, and assisting developers with architectural decisions.

As a Software Engineer, AI, you'll train large-language models by comparing, ranking, and refining AI-coded snippets, while providing feedback for reinforcement learning.

Train large-language models (LLMs) by evaluating, ranking, repairing, and refactoring code. Provide detailed feedback and maintain the RLHF pipeline.

The Software Engineer will analyze, rank, and improve AI-generated code, providing feedback for reinforcement learning in a remote role.

The role involves training large-language models to improve code generation, reviewing and editing AI-generated code, and providing feedback for reinforcement learning refinement.

As a Senior Software Engineer, you will develop observability features for macOS, tackle system telemetry challenges, and lead product decisions while mentoring peers.

As a Software Engineer, you will help train large-language models in code evaluation and training, focusing on Ruby, with an emphasis on code review and improvement.

Responsible for training large-language models by reviewing, ranking, and improving AI-generated code. Requires strong software engineering skills.

Train large-language models to improve code quality by comparing snippets, providing feedback, and refining AI-generated code. Requires strong communication skills and attention to detail.

Develop and release new functionalities for Granular's Energy Platform, improve team culture, and define new product features.

Design, build, and maintain scalable features for an AI workspace platform, ensuring quality and performance while collaborating across teams.

As a Back End Software Engineer, you will write maintainable code, collaborate on features from design to production, and engage with Customer Success to enhance user experience.

As a Software Engineer at Razer, you will implement C++ modules for data processing, video dataset generation, and model deployment automation, while supporting CV/audio pipeline development and ensuring code integration stability.

Lead the development of decentralized applications in a blockchain environment, collaborating across teams to create intuitive user experiences and maintain blockchain integrations.

As a Software Engineer, you'll enhance billing and invoicing systems, lead feature implementation, engage with stakeholders, and mentor junior engineers.

As a Software Engineer in Business Systems, you will design, implement, and improve billing systems, engage stakeholders to solve challenges, and mentor junior engineers.

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.

This role involves developing Python software for High Performance Computing (HPC) environments, collaborating with global teams, and delivering HPC solutions.

The Staff/Lead Engineer role involves maintaining and enhancing video generation infrastructure, building monitoring tools, and ensuring scalable solutions while evaluating commercial impacts and guiding team direction.

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.

As a Fullstack Software Engineer, design and optimize performance-critical systems, manage backend services using C#, and collaborate with frontend teams to enhance product features.

The AI Software Engineer will train large-language models, compare code snippets, and provide feedback to improve AI-generated code. Requires strong C++ skills and attention to detail.

Help train large-language models to write production-grade code by ranking, repairing, and providing feedback on AI-generated code snippets, with a focus on logical correctness and performance.

Help train large-language models to write production-grade code by comparing, ranking, repairing, and refactoring AI-generated code, while providing feedback for reinforcement learning.