Multimodal Model Training and Inference Optimization Engineer - San Jose, CA
6 days ago

Job summary
We are seeking an experienced Multimodal Model Training and Inference Optimization Engineer with expertise in optimizing AI model training and inference,including distributed training/inference and acceleration.
The ideal candidate will work at the cutting edge of AI efficiency, enhancing the performance,
scalability,
- Optimize large model training pipelines to improve efficiency,speed,and scalability.
- Developand improve distributedtraining strategies such as data parallelism,model parallelism,pipeline parallelism and communication to accelerate modeltraining.
- Benchmarkand profile deep learning models to identify performance bottlenecks and optimize computational resources.
Job description
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