Research Engineer, Machine Learning - Paris/London/Zurich/Warsaw

Build and optimize large-scale learning systems that power open-weight models

technical

Enhance the shared training framework used across teams

technical

Improve and maintain data pipelines for training and evaluation

technical

Develop and maintain cluster tooling for large-scale training

technical

Implement and maintain large-scale ML pipeline components to accelerate researchers

technical

Build robust tooling for large-scale ML pipelines

technical

Integrate model checkpoints into training and production workflows

technical

Streamline evaluation pipelines for model assessment

technical

Expose APIs that connect research models to production systems

technical

Conduct large-scale experiments using advanced deep-learning techniques (e.g., sparsified 70B+ runs, distributed training across thousands of GPUs)

technical

Implement ML algorithms in code

technical

Benchmark ML algorithms and training runs

analytical

Write clear, efficient Python code for ML systems

technical

Deliver prototypes and convert them into production-grade components for Le Chat and the enterprise API

technical

Design ML algorithms

analytical

Collaborate with Research Scientists to translate research ideas into repeatable, scalable code

communication

Sit inside research squads and turn fresh ideas into repeatable, scalable code

operational