Design and Optimize Large Language Models

1 week ago


jaipur, India beBeeResearch Full time

We are building a future where AI assists and automates most work and business processes for enterprises and professionals.Our company is looking for a Research Engineer to help design, train, and optimize large language models and high-performance inference systems. The ideal candidate will have strong Python skills and solid software engineering practices.The role involves various responsibilities including building and optimizing LLM training and inference pipelines on cloud GPUs, generating, curating, and maintaining datasets for pretraining and finetuning, implementing and improving transformer architectures, and optimizing inference using FlashAttention, PagedAttention, KV caches, and serving frameworks like vLLM / sglang.The successful candidate should be proficient with PyTorch or JAX, have hands-on experience with LLM training and inference, and be familiar with Hugging Face libraries: transformers, trl, accelerate.Nice to have experience with RL for LLMs, CUDA / GPU kernel or systems-level performance work, and training infrastructure: monitoring, checkpointing, networking / distributed systems.This position offers the opportunity to work at the intersection of AI and software engineering, pushing the boundaries of what is possible with Generative AI.



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