
Senior Model Architect
7 days ago
Drive the implementation and refinement of distributed training strategies across multi-GPU and multi-node environments.
- Lead initiatives in model compression, pruning, and quantization techniques to reduce model footprint and enhance computational efficiency.
- Innovate in knowledge distillation methodologies to transfer learning from larger teacher models to more efficient student models.
- Optimize micro-tuning strategies, such as prompt-based tuning or parameter-efficient tuning methods, to minimize resource requirements.
- Explore and implement mixed precision training and hardware-specific optimizations (e.g., CUDA, Tensor Cores) to leverage hardware acceleration fully.
- Manage hyperparameter tuning processes using automated tools and algorithms to achieve optimal model configurations.
- Design and optimize large language models, devise fine-tuning strategies, and streamline the training process.
- Explore deep learning architectures like Seq2Seq, Transformer, and advanced techniques including Fine-tuning, Prompt Engineering, and Soft Prompting (SFT).
- Develop systems for efficient model training and deployment, involving data preprocessing, parallel training, and resource management.
- Establish performance evaluation systems and monitor training metrics to ensure model quality and iteration efficiency.
**Requirements**:
- Bachelor degree or higher in Computer Science, Artificial Intelligence, Mathematics, or related fields.
- At least 5 years of experience in AI, with 3 years focused on large-scale language model development and optimization, preferably with successful projects.
- Proficient in deep learning theories, experienced with PyTorch, TensorFlow, and skilled in model fine-tuning and SFT.
- Strong algorithm design and optimization skills, familiar with large-scale data processing and high-performance computing.
- Demonstrated leadership, teamwork, communication, and project management skills, with the ability to track international research trends and innovate.
**Job Type**: Permanent
Pay: Up to $15,000.00 per month
**Benefits**:
- Food provided
- Health insurance
- Work from home
Schedule:
- Monday to Friday
Supplemental pay types:
- Performance bonus
- Yearly bonus
**Education**:
- Bachelor's or equivalent (required)
**Experience**:
- AI: 5 years (required)
Work Location: In person
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