Large Language Model Specialist
Tasks
- Build distributed training pipelines for transformer models
- Construct curate and validate datasets for instruction tuning and preference data
- Create evaluation suites with automated and human testing
- Design fine tuning experiments for large language models
- Document training methodology and results
- Implement parameter-efficient fine-tuning methods
- Implement safety refusal and policy evaluations
- Manage model artifacts lineage and reproducibility
- Mentor engineers on fine tuning evaluation and responsible deployment
- Operate GPU cluster training jobs and recover from failures
- Optimize training throughput with mixed precision sequence packing and efficient attention
- Tune hyperparameters and optimize training stability
Perks/Benefits
- N/A
Skills/Tech-stack
Adapter-Tuning | Benchmarking | DPO | Dataset curation | Distributed Training | Efficient Attention | Experiment tracking | FSDP | GPU Cluster | Human evaluation | Hyperparameter Tuning | LoRA | Mixed Precision | Model Reproducibility | Pipeline parallelism | Preference optimization | PyTorch | Python | QLoRA | RLHF | Red Teaming | Reinforcement Learning | Safety evaluation | Sequence Packing | Transformers | Zero
Education
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