onsite
Machine Learning Engineer - World Model
Machine Learning Engineer - World Model
As a Machine Learning Engineer focusing on World Models, you will develop the foundational models to simulate the physical world. You will also collaborate with engineering and data teams to train these models on large-scale clusters and optimize inference efficiency.
About the role
Responsibilities
- Develop the foundational world model to accurately simulate the physical world.
- Collaborate with engineering and data teams to tackle key challenges in training the world model on large-scale clusters.
- Develop metrics and evaluation benchmarks to better assess model performance.
- Design and implement a scalable and efficient data annotation pipeline to ensure high-quality labeled data for training and evaluation.
- Optimize inference efficiency to enable real-time interaction.