The role involves optimizing multimodal generative models for realtime applications, designing new algorithms, and developing interactive capabilities.
About the Role
Responsibilities
Experience
Compensation
At Luma, the Realtime Interactive team is responsible for building an entirely new paradigm for generated content, allowing users to interact with a model’s outputs as they are being generated. The team works closely with the Fundamental Research, Data, and Performance Optimization teams to train fast and efficient realtime models as World Simulators and beyond.
- Work on top of pretrained multimodal generative models to fine-tune and optimize them for realtime generation
- Design novel algorithms and techniques to solve problems with autoregressive visual generation, long-range temporal consistency, and long-term memory
- Develop interactive applications with tight latency constraints
- Process data to develop advanced interactive capabilities and controls for World Modeling, such as controlling character and camera movement, audio, and more
- Experience with fine-tuning large-scale generative models
- Proficiency in PyTorch and distributed training frameworks
- (Preferred) Strong background in methods for optimizing model inference (distillation, quantization, sparsity, compression, etc.)
- (Preferred) Experience in gathering, processing, and annotating datasets
The base pay range for this role is $187,500 – $395,000 per year.
Top Skills
Distributed Training Frameworks
PyTorch
Luma AI San Francisco, California, USA Office
San Francisco, CA, United States
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