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 of scientists and engineers, including:
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Implementing and optimizing robust and scalable self-supervised learning methods to efficiently learn from video and other continuous, high-dimensional signals
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Develop and scale new architectures that efficiently learn to predict world dynamics from video and other high-dimensional signals, focusing on performance and efficiency
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Scalable infrastructure and algorithms for pre-processing and curating video data
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Efficient algorithms for model-based planning and reasoning
Minimum Qualifications:
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Bachelor’s degree or equivalent experience in Computer Science or a related field
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Proficiency in Python
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Ability to design, run, and analyze experiments independently
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Understanding of machine learning fundamentals, large-scale training, and accelerator-based (GPU or TPU) compute environments
Preferred Qualifications:
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Strong track record of building and deploying high-performance ML models
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Experience developing, testing, and maintaining large-scale distributed systems
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Experience releasing and maintaining open-source projects
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Proficiency in a deep learning framework (PyTorch or JAX), especially for distributed training and efficient inference