AMI Engineer

Highlights

• Build frontier world-model AI that understands and predicts the real world.
• Advance self-supervised learning from video and high-dimensional sensor signals.
• Develop efficient algorithms for model-based planning in dynamic environments.

Ideal candidate

Independent, research-driven ML builder excited by world models, prediction and planning who thrives turning scientific ideas into robust, scalable systems.

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 compute environments
• Strong track record of building and deploying high-performance ML models
• Experience developing, testing, and maintaining large-scale distributed systems
• Experience releasing and maintaining open-source projects
• Proficiency in a deep learning framework (PyTorch or JAX), especially for distributed training and efficient inference