Senior GenAI Model Research Architect
7 days ago
We are seeking a highly skilled Senior GenAI Model Research Architect/Engineer to join our team at Tykhe Inc in Palo Alto, CA. As a key member of our research team, you will be responsible for architecting and implementing scalable training methodologies for our Frontier and Foundational LLMs.
Key Responsibilities:- Architect Distributed Training Systems: Design and implement highly scalable distributed training pipelines for LLMs and frontier models, leveraging model parallelism (tensor, pipeline, expert) and data parallelism techniques.
- Optimize Performance: Utilize deep knowledge of CUDA, C++, and low-level optimizations to enhance model training speed and efficiency across diverse hardware configurations.
- Implement Novel Techniques: Research and apply cutting-edge parallelism techniques like Flash Attention to accelerate model training and reduce computational costs.
- Framework Expertise: Demonstrate proficiency in deep learning frameworks such as PyTorch, TensorFlow, and JAX, and tailor them for distributed training scenarios.
- Scale to Hundreds of Billions of Parameters: Work with massive models, ensuring stable and efficient training across distributed resources.
- Evaluate Scaling Laws: Design and conduct experiments to analyze the impact of model size, data, and computational resources on model performance.
- Collaborate: Partner closely with research scientists and engineers to integrate research findings into production-ready training systems.
Please contact Jia for more information about the role and our company.
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