Large Language Model Specialist
Tasks
- Build dataset construction curation and quality assurance processes
- Build distributed training pipelines
- Collaborate with product and research teams on fine tuning roadmaps
- Design evaluation suites with automated and human evaluation
- Design fine tuning experiments for large language models
- Document training methodology and results
- Implement parameter efficient fine tuning
- Implement safety refusal and policy evaluations
- Manage model artifacts lineage tracking and reproducibility
- Mentor engineers on fine tuning and evaluation best practices
- Operate training jobs on GPU clusters and recover from failures
- Optimize training throughput with mixed precision and efficient attention
- Translate LLM research into production fine tuning recipes
- Tune hyperparameters and training stability strategies
Perks/Benefits
- N/A
Skills/Tech-stack
Adapter | Attention | Benchmarking | DPO | Data Curation | Deep learning | Distributed Training | Evaluation | FSDP | GPU clusters | Human evaluation | LoRA | Machine Learning | Mixed Precision | Pipeline parallelism | Preference optimization | PyTorch | Python | QLoRA | RLHF | Red Teaming | Reinforcement Learning | Safety evaluation | Sequence Packing | Supervised Learning | Transformer | Zero
Education
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