onsite
Machine Learning Engineer
Machine Learning Engineer
This role involves developing a foundational world model for physical simulation, collaborating with engineering and data teams on large-scale training, and optimizing inference efficiency for real-time interaction. Key responsibilities also include designing data annotation pipelines and developing performance evaluation metrics.
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.