Machine Learning: Foundation Models
Train and scale the foundation models at the core of our robotic intelligence stack.
What you'll do
- Develop and train large-scale multimodal models for robotics
- Design pretraining and fine-tuning strategies for embodied AI
- Build scalable training infrastructure and experiment pipelines
- Research novel architectures for action prediction and world modeling
- Evaluate and improve model performance across diverse robotic tasks
What we're looking for
- Experience training large-scale neural networks
- Strong background in deep learning, NLP, or computer vision
- Proficiency in PyTorch and distributed training frameworks
- Publications in top ML/AI conferences preferred
- PhD in Machine Learning, Computer Science, or related field preferred