World-Model AI Engineer

Ami; Paris; Sur place; EUR 70 000 - 110 000; Plein temps

Résumé du poste

AMI is building next-generation AI systems with persistent memory, world-model understanding, and safe controllability. You will join a world-model research team in Paris to push state-of-the-art in video-based prediction and planning, working on scalable data pipelines, new architectures, and rigorous evaluations.

The role emphasizes experimentation, deep ML fundamentals, and collaboration with scientists and engineers across disciplines to advance frontier AI research in dynamic environments.

Qualifications

• Bachelor's degree or equivalent in Computer Science or related field.
• Proficiency in Python.
• Ability to design, run, and analyze experiments independently.
• Understanding of machine learning fundamentals, large-scale training, and accelerator-based compute environments.

Responsabilités

• Work on world model research efforts as part of a team.
• Develop self-supervised learning methods from video and high-dimensional signals.
• Explore architectures that predict world dynamics from video data.
• Create scalable pipelines for pre-processing and curating video datasets.
• Develop evaluation frameworks for world models and planning algorithms.

Connaissances

Python

Experiment design

ML fundamentals

Large-scale training

GPU/TPU compute

Formation

Bachelor's degree in Computer Science or related field

Outils

PyTorch

JAX

Description du poste

AMI is building next-generation AI systems with persistent memory, world-model understanding, and safe controllability. You will join a world-model research team in Paris to push state-of-the-art in video-based prediction and planning, working on scalable data pipelines, new architectures, and rigorous evaluations.

The role emphasizes experimentation, deep ML fundamentals, and collaboration with scientists and engineers across disciplines to advance frontier AI research in dynamic environments.