Research Engineer / Scientist, Post-training - Paris

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

Stay current with advancements in LLMs, VLMs, and related fields

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

• Knowledge of multimodal architectures and applications

Research skills:

• Publications in top-tier AI conferences (e.g., NeurIPS, ICML, CVPR, ACL, ICCV)

• Advanced degree (PhD or MSc) in a relevant field (e.g., ML, DL, NLP, CV)

Soft skills:

• Excellent communication and presentation skills

• Strong collaboration and teamwork skills

• Passion for AI and problem-solving

Bonuses:

• Industry experience

• Experience in LLM training with RL

• Experience with data processing techniques

Paris or London.

This role is hybrid, and you are expected to be in the office 3 days a week on average.

Please expect some travel between offices on a reasonable cadence (e.g., every 4-6 weeks).