AMI Engineer
Core
Building frontier world model-based AI systems that understand the real world, have persistent memory, can reason and plan, and are controllable and safe.
Role type
Senior IC machine-learning engineer (world modeling)
Builds
World models that predict and plan using internal representations of the physical world
Domain
Artificial Intelligence / Computer Vision / Robotics
Deliverable
production ML models
Required skills
Self-supervised learning, video processing, high-dimensional signal learning, world dynamics prediction, model-based planning, algorithm design, experiment design and analysis, large-scale training, accelerator-based compute (GPU/TPU), Python
Preferred skills
High-performance ML model deployment, large-scale distributed systems, open-source project maintenance, deep learning frameworks (PyTorch/JAX), distributed training, efficient inference
Technologies
Python, PyTorch, JAX, GPU, TPU
Responsibilities
Implement and optimize robust and scalable self-supervised learning methods for video and continuous signals; Develop and scale new architectures to predict world dynamics from high-dimensional signals; Build scalable infrastructure and algorithms for video data pre-processing and curation; Develop efficient algorithms for model-based planning and reasoning
Seniority
Senior, hands-on IC