Job Description
Model Architecture:
- Invent and prototype innovative model architectures.
- Optimize inference speed for edge devices.
- Design and train multimodal language models.
Evaluation and Maintenance:
- Build and maintain evaluation suites.
- Assess multimodal performance.
- Debug large-scale training experiments on distributed GPU clusters.
Collaboration and Optimization:
- Collaborate with data and infrastructure teams.
- Build scalable pipelines for audio datasets.
- Optimize model training across large-scale GPU clusters.
About Liquid AI
Liquid AI, spun out of MIT, aims to build efficient AI systems at every scale, creating Liquid Foundation Models that operate on-device and under real-time constraints.