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About the Role
AMI is seeking individuals to advance the state-of-the-art in world modeling, focusing on AI agents that predict and plan using an internal model of the world. The role involves working with a team on world model research, with a specific emphasis on the 3D geometry of the real world.
Responsibilities
- Work with a team on world model research efforts, with a specific focus on 3D geometry of the real world.
- Develop self-supervised learning methods to efficiently learn from video and other continuous, high-dimensional signals.
- Create new architectures that efficiently learn to predict world dynamics from video and other high-dimensional signals.
- Develop scalable algorithms for pre-processing and curating video data.
- Design evaluations for benchmarking world model understanding, prediction, and planning.
- Develop efficient algorithms for model-based planning and reasoning.
Requirements
- Bachelor’s degree or equivalent experience in Computer Science or a related field.
- Proficiency in Python.
- Ability to design, run, and analyze experiments independently.
- Understanding of machine learning fundamentals, large-scale training, and accelerator-based (GPU or TPU) compute environments.
- Deep expertise in at least one of the following: 3D/4D reconstruction, SLAM or SfM, depth and pose estimation, point tracking.
- Hands-on proficiency with a rendering or simulation engine (Blender, Isaac Sim, etc.), including scripted scene generation and batch rendering pipelines.
- Demonstrated record of contributing to advanced research projects via publications and/or major model releases.
- Experience developing evaluation frameworks for world models.
- Experience releasing and maintaining open-source projects.
- Proficiency in a deep learning framework (PyTorch or JAX).
Skills
- Python
- Machine learning fundamentals
- Large-scale training
- Accelerator-based compute environments (GPU or TPU)
- 3D/4D reconstruction
- SLAM or SfM
- Depth and pose estimation
- Point tracking
- Rendering or simulation engines (Blender, Isaac Sim)
- Scripted scene generation
- Batch rendering pipelines
- Evaluation frameworks for world models
- Open-source project maintenance
- Deep learning frameworks (PyTorch or JAX)
Education Level
- Bachelor’s degree or equivalent experience in Computer Science or a related field.
About the Company
- AMI is building a new breed of AI systems that understand the real world, have persistent memory, can reason and plan, and are controllable and safe.
- The company combines the scientific rigor of a top-tier research institute with a focus on engineering excellence and execution.
- AMI is a global company with offices in Paris, Montreal, New York, and Singapore.