Expert Language Model Optimizer

2 days ago

Hyderabad City Taluka, Pakistan beBeeQuantization Full time $150,000 - $175,000
Job Overview

As a senior AI model engineer, you will play a key role in enhancing our inference framework to support language models on mobile and integrated GPU acceleration. This involves extending the existing framework to optimize performance and efficiency for various hardware backends.

Responsibilities
  • Implement and optimize custom inference and fine-tuning kernels for small and large language models across multiple hardware backends.
  • Develop and refine full and LoRA fine-tuning capabilities for language models on diverse hardware platforms.
  • Design and implement datatype and precision support (int, float, mixed precision, ternary QTypes, etc.) to ensure optimal performance.
  • Customize and optimize Vulkan compute shaders for quantized operators and fine-tuning workflows.
  • Identify and resolve GPU acceleration issues on Vulkan and integrated/mobile GPUs.
  • Develop strategies to improve memory usage and efficiency through advanced quantization techniques.
  • Debug and optimize GPU operators (e.g., int8, fp16, fp4, ternary).
  • Integrate and validate quantization workflows for training and inference.
  • Conduct evaluation and benchmarking (e.g., perplexity testing, fine-tuned adapter performance).
  • Perform thorough testing across desktop and mobile devices.
  • Collaborate with research and engineering teams to prototype, benchmark, and scale new model optimization methods.
  • Deliver high-performance, efficient language model deployment for edge use cases.

The ideal candidate should possess hands-on experience with C++ and GPU kernel programming, expertise in GPU acceleration with Vulkan, and a strong foundation in quantization and mixed-precision model optimization.

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