Posting record
Open 7+ days
- AMI's site dates the posting
- Ghostless first sees this listing
- Last checked: still up
How we know
It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.
Ghostless records the day it first sees a posting, so a repost can't reset its age. This one was already up when Ghostless started tracking AMI, so its true age is longer.
Last checked Nov 4, 2026.
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Upload your resumeWhat it asks of you
- Equivalent experience accepted instead of a degree
What the posting discloses
Not stated: Pay, real vacancy, AI screening.
Why these three
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Skills mentioned
About the role
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 of scientists and engineers, including
- Implementing and optimizing robust and scalable self-supervised learning methods to efficiently learn from video and other continuous, high-dimensional signals
- Develop and scale new architectures that efficiently learn to predict world dynamics from video and other high-dimensional signals, focusing on performance and efficiency
- Scalable infrastructure and algorithms for pre-processing and curating video data
- 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
- Strong track record of building and deploying high-performance ML models
- Experience developing, testing, and maintaining large-scale distributed systems
- Experience releasing and maintaining open-source projects
- Proficiency in a deep learning framework (PyTorch or JAX), especially for distributed training and efficient inference
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