AMI Scientist
AMI Labs · Paris · Singapore · New York · Montreal
CHECKED 1H AGO
Frontier labonsite
At a glance
Highlights
- Build frontier world-model AI that predicts, reasons and plans.
- Advance self-supervised learning from video and sensor data.
- Research model-based planning for dynamic, complex environments.
Ideal candidate
A research-driven scientist excited by world models and video understanding who thrives running independent experiments and pushing frontier AI from idea to execution.
Requirements
- 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
- Deep expertise in at least one of the following: self-supervised learning, video and multimodal model architectures, planning algorithms
- 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)
Lab profile
About AMI Labs
Building frontier world model-based AI systems that understand the real world, reason, and plan safely.
What they build
- World model-based AI systems
Known for
- Frontier world models
- Real-world understanding
- Persistent memory
- Reasoning and planning
Key facts
- Offices in Paris, Montreal, New York, Singapore