Deep Learning Solution Architect - RL and Post-training
Tasks
- Collaborate with research and engineering teams to adapt and validate RL methods
- Create and maintain technical documentation
- Develop and maintain reusable toolchains and experiment management workflows
- Develop prompt open source model support
- Drive Reinforcement Learning algorithm development and optimization
- Provide technical guidance for integrating NVIDIA RL technologies into AI workflows
Perks/Benefits
- N/A
Skills/Tech-stack
Agentic AI | CUDA | Cloud Architecture | DPO | Distributed Training | Evaluation Pipelines | Experiment Management | GPU Performance | GPU performance tuning | GRPO | HPC | Language Models | Large Language Models | Model Training | Multimodal Learning | NLP | Performance Tuning | Prompt Tuning | Prompt engineering | PyTorch | RLHF | Reinforcement Learning | Task Orchestration
Education
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