Machine Learning: World Models
Tasks
- Architect neural simulators
- Design run debug and iterate training experiments
- Develop controllable video generation
- Diagnose failure modes
- Improve data mixtures
- Own end to end large scale training
- Tighten evaluation
- Train spatiotemporal world models
Perks/Benefits
- N/A
Skills/Tech-stack
C++ | Data Engineering | Deep learning | Distributed Systems | GPU Computing | Large Scale Training | Large-scale | Machine Learning | Model Evaluation | Neural Networks | Python | Rust | Spatiotemporal modeling | Training Pipeline | Video Generation
Education
N/A
Regions
Countries
States
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