AMI Scientist
New York, NYFull-timePosted 5mo agoStill listed 3w ago
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Job overview
Advanced Machine Intelligence is hiring an AMI Scientist. AMI is seeking a Scientist to advance the state-of-the-art in world modeling for AI systems. The role involves developing AI agents that understand the real world, possess persistent memory, can reason and plan, and are controllable and safe. This position focuses on using video and other continuous, high-dimensional data to predict and plan using internal world models.
Key focus areas include Advance self-supervised learning methods from video and high-dimensional signals, Develop new architectures for predicting world dynamics from video and high-dimensional signals, and Create scalable algorithms for pre-processing and curating video data.
Successful candidates bring Bachelor’s Degree In Computer Science Or Equivalent Experience, Ability To Design, Run, And Analyze Experiments Independently, and Understanding Of Machine Learning Fundamentals, Large‑Scale Training, And Accelerator‑Based Compute Environments. Important skills include Python, Design Experiments, Run Experiments, Analyze Experiments, Machine Learning Fundamentals, and Large-Scale Training. Preferred (not required): Self-Supervised Learning, Video Model Architectures, Multimodal Model Architectures, and Planning Algorithms.
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Full job description
About AMI 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!
About this Role AMI believes AI agents should predict and plan using an internal model of the world — their world model. We’re looking for new team members to advance the state-of-the-art in world modeling. We believe that video is a rich and abundant source of data reflecting how the world works, and that in general models need to be able to process continuous, high-dimensional data from a variety of sensors to: (a) understand context about the current state of the physical world, (b) make predictions about how the world will evolve, possibly as a result of actions taken, and (c) plan and adapt sequences of actions to complete complex tasks, possibly in dynamic, complex environments.
You will work with a team on world model research efforts, including:
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Self-supervised learning methods to efficiently learn from video and other continuous, high-dimensional signals
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New architectures that efficiently learn to predict world dynamics from video and other high-dimensional signals
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Scalable algorithms for pre-processing and curating video data
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Evaluations for benchmarking world model understanding, prediction, and planning
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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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Deep expertise in at least one of the following: self-supervised learning, video and multimodal model architectures, planning algorithms
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Demonstrated record of contributing to advanced research projects via publications and/or major model releases
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Experience developing evaluation frameworks for world models
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Experience releasing and maintaining open-source projects
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Proficiency in a deep learning framework (PyTorch or JAX)
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