LLM Fine-Tuning Engineer
United States - Remote
R
USD 150K-270K (estimate) Mid-level Full Time
Tasks
- Build dataset construction and curation pipelines
- Build scalable distributed training pipelines
- Design and execute fine tuning experiments for large language models
- Design evaluation suites with automated benchmarks and human evaluation
- Implement parameter-efficient fine-tuning methods
- Implement safety refusal and policy evaluations
- Manage model artifacts and experiment reproducibility
- Mentor engineers on fine tuning and evaluation best practices
- Operate GPU cluster training jobs and recover from failures
- Optimize training throughput with mixed precision and efficient attention
- Translate LLM research into production fine tuning workflows
- Tune hyperparameters and optimizer configurations
Perks/Benefits
Skills/Tech-stack
Adapter based methods | Attention Optimization | Benchmarking | DPO | DeepSpeed ZeRO | Distributed Training | FSDP | Fine Tuning | GPU clusters | Human evaluation | LoRA | Mixed Precision | Pipeline parallelism | PyTorch | Python | QLoRA | RLHF | Sequence Packing | Supervised Fine Tuning | Transformers
Education
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