大模型训练调优实习生
Tasks
- Analyze training stability and convergence
- Apply PEFT and adapter based finetuning
- Build multimodal model training pipeline
- Collaborate on model architecture system bottleneck analysis
- Coordinate multimodal data loading
- Develop efficient finetuning strategies like LoRA
- Implement DDP distributed training acceleration
- Improve training performance with mixed precision
- Maintain pretraining finetuning evaluation deployment workflow
- Monitor training quality and anomalies
- Optimize resource utilization efficiency
- Optimize training pipeline multi task scheduling
- Schedule multi GPU training resources
- Use heterogeneous acceleration and compiler optimization
Perks/Benefits
- N/A
Skills/Tech-stack
Adapter | CI/CD | DDP | DeepSpeed | FSDP | LoRA | Mixed Precision | Multi-GPU | PEFT | PyTorch | Transformer
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Engineer | Intern | Learning Engineer | Machine Learning Engineer | Research Intern
Regions
Countries
States
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