Foundation Model Engineer
Tasks
- Conduct reinforcement learning from human feedback training
- Construct training datasets
- Design fine tuning workflows
- Evaluate model performance with benchmarks
- Execute large language model training pipelines
- Implement preference optimization techniques
- Mentor junior engineers
- Operationalize model training jobs
- Recover from GPU training failures
- Review code and design
Perks/Benefits
- N/A
Skills/Tech-stack
DPO | Data Generation | Dataset Distillation | Distributed Training | Evaluation methodology | FSDP | GPU Cluster | Language Models | Large Language Models | Pipeline parallelism | PyTorch | Python | RLHF | Synthetic Data Generation | Synthetic data | Transformer | Zero
Education
N/A
Roles
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