AMI Scientist
Core
Researching world model-based AI systems that understand, predict, and plan using video and high-dimensional sensor data.
Role type
Research Scientist (World Models / AI Agents)
Builds
Frontier world model-based AI systems
Domain
Artificial Intelligence, Computer Vision, Reinforcement Learning
Deliverable
production ML models
Required skills
Self-supervised learning, video processing, machine learning fundamentals, large-scale training, accelerator-based compute (GPU/TPU), Python, experimental design, model evaluation, planning algorithms
Preferred skills
Multimodal model architectures, open-source project development, deep learning frameworks (PyTorch/JAX), research publications
Technologies
Python, PyTorch, JAX, GPU, TPU
Responsibilities
Design self-supervised learning methods for video and continuous signals, develop new architectures for predicting world dynamics, build scalable algorithms for video data curation, create evaluation frameworks for benchmarking, implement efficient algorithms for model-based planning and reasoning
Seniority
Mid-Senior, hands-on IC
