AMI Scientist/Interns - Geometry and 3D Vision

Job summary

You will conduct research on world models with a focus on 3D geometry, including self-supervised learning and dynamic prediction. You will also develop evaluation frameworks and scalable algorithms for processing high-dimensional sensor data.

Job details

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)

What you’ll do

You will conduct research on world models with a focus on 3D geometry, including self-supervised learning and dynamic prediction. You will also develop evaluation frameworks and scalable algorithms for processing high-dimensional sensor data.

Requirements

Candidates must have a bachelor's degree in Computer Science or a related field and proficiency in Python. Strong expertise in 3D vision techniques and experience with deep learning frameworks like PyTorch or JAX are preferred.

Listed skills

• Machine learning · Preferred
• Python · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Python
• Machine Learning
• 3D Reconstruction
• SLAM
• SfM
• Depth Estimation
• Pose Estimation
• Point Tracking
• Blender
• Isaac Sim
• PyTorch
• JAX
• World Modeling
• Computer Vision
• Self-supervised Learning
• Pipelines
• Sensors
• Planning
• AI Agents
• C (Programming Language)
• Research
• Artificial Intelligence
• Algorithms
• Benchmarking
• Computer Science
• Data Warehousing
• Forecasting
• Geometry
• Scalability
• Python (Programming Language)
• Persistent Memory
• Supervised Learning
• SLAM Algorithms (Simultaneous Localization And Mapping)
• Deep Learning
• PyTorch (Machine Learning Library)
• Artificial Intelligence Infrastructure

Job areas

• Technology
• Science & Research
• Software
• Engineering
• Data & Analytics
• Lead 3D Artist
• Computer Vision Engineer
• Software Developers

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