Research Engineer, Multimodal AI Models (LLMs/VLMs)

H Company; Paris; Hybrid; EUR 110,000 - 140,000; Full time

Benefits offered by this job

Competitive salary

Hybrid work

Travel between offices

Career growth

Job summary

H is pushing the boundaries of superintelligence with agentic AI, hiring world-class talent to advance disruptive AI responsibly. The Models team builds foundational models for agentic applications, spanning LLMs and VLMs, and translating research into practical solutions that power next-gen AI.

We seek bright, motivated researchers who excel in cross-functional environments, with a track record in ML, DL, NLP or CV, and a passion for safe, impactful AI.

Qualifications

• Strong programming skills in Python and Git.
• Expertise with deep learning frameworks (PyTorch, JAX, TensorFlow).
• Experience with large-scale LLM/VLM training and RL alignment.

Responsibilities

• 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.

Skills

Python

Git

Deep learning

LLM training

Multimodal architectures

Education

PhD or MSc in ML/DL/NLP/CV

Tools

PyTorch

JAX

TensorFlow

reinforcement learning

Job description

H is pushing the boundaries of superintelligence with agentic AI, hiring world-class talent to advance disruptive AI responsibly. The Models team builds foundational models for agentic applications, spanning LLMs and VLMs, and translating research into practical solutions that power next-gen AI.

We seek bright, motivated researchers who excel in cross-functional environments, with a track record in ML, DL, NLP or CV, and a passion for safe, impactful AI.