We are building a new breed of AI systems that (1) understand the real world, (2) have persistent memory, (3) can reason and plan, and (4) are controllable and safe.
We are a team of scientists and engineers building frontier world model-based AI. We combine the scientific rigor of a top-tier research institute with focus on engineering excellence and execution.
We are a global company, with offices in Paris, Montreal, New York, and Singapore. Come build the future of AI with us!
You will work with a team on world model research efforts, with a specific focus on 3D geometry of the real world, including::
•
Self-supervised learning methods to efficiently learn from video and other continuous, high-dimensional signals
•
New architectures that efficiently learn to predict world dynamics from video and other high-dimensional signals
•
Scalable algorithms for pre-processing and curating video data
•
Evaluations for benchmarking world model understanding, prediction, and planning
•
Efficient algorithms for model-based planning and reasoning
Minimum Qualifications:
•
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
Preferred Qualifications:
•
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)