Posted 2 hours ago
AMI Scientist - Geometry and 3D Vision
@ AMI
Montréal, Quebec
Overview
AMI is hiring a full-time AI scientist to work on world model research with a focus on 3D geometry of the real world. The role centers on self-supervised learning from video, new architectures for predicting world dynamics, and evaluation and planning methods. Candidates need a Bachelor's degree or equivalent experience, Python proficiency and GPU or TPU experience.
Responsibilities:
- Research self-supervised learning from video and high-dimensional signals
- Design architectures predicting world dynamics
- Build scalable video data curation pipelines
- Develop evaluations for world model understanding and planning
- Design, run and analyze experiments independently
Requirements summary:
- Bachelor's degree or equivalent in computer science or related field
- Proficiency in Python
- Understanding of machine learning and large-scale training
- GPU or TPU compute experience
- Preferred: 3D reconstruction, SLAM, depth or pose estimation expertise
Tools & skills
Source and dates
Employer career site / ATS feed · ashby
- Employer posting date
- 2026-11-09
- First seen by our source
- 2026-10-08
- Source record updated
- 2026-11-09
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Department | Data & analytics |
| Hours per week | 40 (estimated) |
| Work setting | Office |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
| Education | Bachelor’s degree (required) |
| Fields of study | Computer Science |
Summary and details written by AI from the posting; the employer’s posting is the authority.
AMI
| Field | Value |
|---|---|
| Headquarters | Paris |
| Open jobs on Jobsy | 4 |
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, 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)
Journal
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