Job Application for LLM Algorithm Engineer at NetEase Games

About NetEase Games:

As a leading internet technology company based in China, NetEase, Inc. (NASDAQ: NTES and HKEX:9999, “NetEase”) provides premium online services centered around content creation. With extensive offerings across its expanding gaming ecosystem, the Company develops and operates some of China’s most popular and longest-running mobile and PC games. Powered by industry-leading in-house R&D capabilities in China and globally, NetEase creates superior gaming experiences, inspires players, and passionately delivers value for its thriving community worldwide. By infusing play with culture and education with technology, NetEase transforms gaming into a meaningful vehicle to build a more entertaining and enlightened world.

NetEase’s ESG initiatives are among the best in the global media and entertainment industry, earning it a distinction as one of the S&P Global Industry Movers and an “A” rating from MSCI. For more information, please visit: http://ir.netease.com/

Responsibilities:

Responsible for the algorithm research, application development, and deployment of large NLP models.
Design and develop application architectures based on specific gaming + AI requirements.
Application scenarios include text retrieval, text generation, generative Q&A, etc.
Stay updated on cutting-edge LLM technologies, including RAG, CoT, reinforcement learning, etc.

Qualifications:

Master’s degree or higher in computer science or a related field.
Familiarity with LLM-related training and fine-tuning algorithms.
Experience in LLM inference deployment, with a preference for candidates with deployment and optimization experience.
Familiarity with algorithms such as CoT and reinforcement learning; relevant experience is preferred.
Proficiency in deep learning tools like PyTorch and DeepSpeed, as well as Python programming and Linux development environments.
Skilled in deployment frameworks such as Flask and FastAPI, with the ability to write efficient Dockerfiles and deploy applications quickly.

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LLM Algorithm Engineer

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