Research Engineer / Scientist, Post-training - Paris

Job summary

Responsibilities

About the Team: The Models team builds the foundational models that power our cutting-edge agentic technology. We focus on training techniques to optimize model capabilities specifically for agent applications. This allows us to achieve the best performance at a given inference cost.

• Develop and train advanced LLMs and VLMs, including multimodal architectures
• Research and implement training methods for enhanced capabilities like instruction following and tool use
• Design and optimize data pipelines and training systems for large-scale distributed training
• Collaborate with cross-functional teams to integrate models into agentic AI systems
• Evaluate model performance and communicate findings to stakeholders

What they're looking for

• Technical skills:
• Strong programming skills (Python, Git)
• Expertise in deep learning frameworks (PyTorch, JAX, TensorFlow)
• Experience with large-scale distributed training of LLMs and VLMs
• Hands-on experience with LLM training, alignment, and reinforcement learning

Tech stack

• Python
• PyTorch
• JAX
• TensorFlow