# AMI Scientist/Interns - Geometry and 3D Vision at AMI > Onsite · France · Unspecified · Other · open. Source: https://alderhq.app/jobs/ashby%3Aami%3A0d7332d8-b8e7-40d3-89b6-dfc02b40bfa2 (read 2026-11-05). ## Facts (observed) - Company: [AMI](https://alderhq.app/companies/ami) - Location text: Paris; Singapore; New York; Montreal - Where it can be done from (inferred): Onsite · France (evidence: "Location: Paris; Singapore; New York; Montreal") - Posted: 2026-08-27 (70 days ago) - First seen by alder: 2026-11-02 · last verified: 2026-11-03 - Reposted: 0 times · edited: 0 times - Apply on the employer's site: https://jobs.ashbyhq.com/ami/0d7332d8-b8e7-40d3-89b6-dfc02b40bfa2 - Skills listed (inferred): Python, PyTorch ## Pay and sponsorship - Posted pay: not posted - Market band for similar posted roles (Paris, n 66): p25 €35k, median €57k, p75 €110k ## Description (the employer's text) ### 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) --- Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/ashby%3Aami%3A0d7332d8-b8e7-40d3-89b6-dfc02b40bfa2 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.