AMI Scientist - Geometry and 3D Vision
This listing is for an AMI Scientist - Geometry and 3D Vision role at Ami, in Paris, France. It is listed as a full-time position.
DGJ summary of this job
Our own short read of this listing, built only from the facts it gives. The employer’s original text follows further down.
This listing is for an AMI Scientist - Geometry and 3D Vision role at Ami, in Paris, France. It is listed as a full-time position.
Skills and tools named in the text include Python, machine learning, deep learning, PyTorch and research.
No salary is given in this listing, so check the official pay figures in the DGJ Insight section below where they exist.
The advert does not mention visa sponsorship. If you would move to France for this job, check the official work permit route first (DGJ Insight lists it where we have it).
Dev Global Jobs found this job on Arbeitnow on Nov 10, 2026.
- Employer
- Ami
- Location
- Paris, France
- Job type
- Full-time
- Pay
- Not stated by the employer
- Found
- Nov 10, 2026 on Arbeitnow
- Employer text
- 400 words, about 2 min to read
- Apply only on the official page (arbeitnow.fr). Dev Global Jobs is not the employer and never asks for a fee.
- Mirror the skills the advert names (Python, machine learning, deep learning and PyTorch) in your CV where you really have them; applicant tracking systems look for these words.
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DGJ Insight
Our own data about this role and place, from official statistics and our live job index.
Source: OECD Average annual wages, 2025
UN living-cost index for Paris (ICSC post adjustment 50.5), as of 1 Oct 2026.
Source: ICSC post adjustment classifications (icsc.un.org)
- Talent Passport: Qualified employees, researchers, artists, investors; multi-year permit
- Employee (salarié) visa: Employer work authorisation from the labour office
- Temporary worker visa: Contracts under 12 months
About the role
Full text from the employer, as published on Arbeitnow, arranged into sections. Nothing added or removed.
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 RoleAMI 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
01Minimum 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
02Preferred 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)
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