Foundation Model Engineer
Tasks
- Conduct code review and design review
- Construct training datasets
- Design fine tuning workflows for large language models
- Develop evaluation methodology for language models
- Execute supervised learning pipelines for transformers
- Implement preference optimization techniques
- Implement reinforcement learning from human feedback
- Mentor junior engineers
- Operate distributed training pipelines
- Recover from training job failures
- Run training jobs on GPU clusters
- Translate ambiguous requirements into solutions
Perks/Benefits
- N/A
Skills/Tech-stack
DPO | Dataset Construction | Distributed Training | FSDP | Fine Tuning | GPU Cluster | Human evaluation | Language Models | Large Language Models | Model Evaluation | Pipeline parallelism | Preference optimization | PyTorch | Python | RLHF | Red Teaming | Reinforcement Learning | Responsible AI | Supervised Learning | Transformer Models | Zero
Education
N/A
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