Junior Foundation AI Engineer
Tasks
- Collect operational feedback from delivery teams
- Conduct ablation studies
- Curate training datasets
- Design and iterate model architectures
- Develop train and monitor training pipelines
- Evaluate model performance
- Monitor research state of the art and integrate innovations
- Optimize model serving modes
- Support delivery teams in model integration
Perks/Benefits
Skills/Tech-stack
AWS | Accelerate | Azure | CUDA | Cloud Computing | Cloud platform | Data Curation | Data Processing | DeepSpeed | Direct Preference Optimization | Distributed Training | Fine Tuning | Git | Google Cloud | Google Cloud Platform | HPC | Hugging Face | Human Feedback | IaaS | LLM Training | LLM serving | LLMOps | Large Scale Data | Large-scale | Learning from Human Feedback | Megatron | Model Merging | Model Pruning | NCCL | PEFT | Pachyderm | Preference optimization | Pretraining | PyTorch | Python | Reinforcement Learning | Reinforcement Learning from Human Feedback | Reinforcement Learning from Verifiable Rewards | Slurm | Supervised Fine Tuning | TRL | Triton | VLLM | Verifiable rewards
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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