World-Model Scientist Intern - 3D Vision & Geometry

AMI Labs

Paris

Sur place

EUR 80 000 - 140 000

Plein temps

Il y a 5 jours
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Résumé du poste

AMI Labs in Paris is seeking a world-model research scientist focused on 3D geometry. You will collaborate with a team of scientists and engineers to push the state-of-the-art in world models derived from video and sensor data.

Responsibilities include designing self-supervised learning methods, developing architectures that predict world dynamics from high-dimensional signals, and building scalable data processing and evaluation pipelines for planning and reasoning.

Qualifications

  • Bachelor’s degree or equivalent experience 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 focusing on 3D geometry of the real world.
  • Design self-supervised learning methods to learn from video and high-dimensional signals.
  • Develop architectures that predict world dynamics from video and other signals.
  • Create scalable algorithms for pre-processing and curating video data.
  • Build evaluations for benchmarking world model understanding, prediction, and planning.
  • Develop efficient algorithms for model-based planning and reasoning.

Connaissances

Python
Experimentation
Independent work
Machine learning fundamentals

Formation

Bachelor’s degree or equivalent in CS or related field

Outils

PyTorch
JAX
Blender

Description du poste

AMI Labs in Paris is seeking a world-model research scientist focused on 3D geometry. You will collaborate with a team of scientists and engineers to push the state-of-the-art in world models derived from video and sensor data.

Responsibilities include designing self-supervised learning methods, developing architectures that predict world dynamics from high-dimensional signals, and building scalable data processing and evaluation pipelines for planning and reasoning.

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