LLM Algorithm Engineer

1 Month ago • All levels

Job Summary

Job Description

The LLM Algorithm Engineer will be responsible for algorithm research, application development, and deployment of large NLP models for gaming applications. The role involves designing and developing application architectures based on specific gaming and AI requirements, including text retrieval, text generation, and generative Q&A. The engineer will need to stay updated on cutting-edge LLM technologies like RAG, CoT, and reinforcement learning. The ideal candidate will have experience in LLM inference deployment and optimization, as well as proficiency in deep learning tools such as PyTorch and DeepSpeed, and deployment frameworks like Flask and FastAPI.

Must have:

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.
Proficiency in deep learning tools like PyTorch and DeepSpeed.
Skilled in deployment frameworks such as Flask and FastAPI.

Good to have:

Experience in LLM inference deployment and optimization.
Familiarity with algorithms such as CoT and reinforcement learning

9 skills required

9 skills required for this role

Add these skills to join the top 1% applicants for this job

algorithms

flask

reinforcement-learning

fastapi

deep-learning

python

pytorch

linux

game-texts

Job Details

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.