LLM Fine-Tuning Engineer
United States - Remote
R
USD 150K-270K (estimate) Mid-level Full Time
Tasks
- Build distributed training pipelines
- Collaborate on fine tuning roadmaps
- Construct and curate datasets
- Design evaluation suites
- Design fine tuning experiments
- Document training methodology
- Implement parameter efficient fine tuning
- Implement safety and policy evaluations
- Manage model artifacts and reproducibility
- Mentor engineers
- Operate GPU training jobs
- Optimize training throughput
- Stay current with LLM research
- Tune hyperparameters and training stability
Perks/Benefits
Skills/Tech-stack
Adapter-Tuning | DPO | Dataset curation | Efficient Attention | Evaluation | FSDP | GPU Cluster | Human evaluation | Hyperparameter Tuning | LoRA | Mixed Precision | Pipeline parallelism | Policy Evaluation | PyTorch | Python | QLoRA | RLHF | Reinforcement Learning | Safety evaluation | Sequence Packing | Supervised Learning | Transformer | Zero
Education
Roles
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