Machine Learning Engineer -Large Language Model & Reinforcement Learning

The main job directions include:Exploring and developing large-scale language models and optimizing enterprise applications to the extreme;Data construction, instruction tuning, preference alignment, and model optimization;Implementation of relevant applications, including content generation, reasoning, code generation, etc.;Collaborating with cross-functional teams to produce and apply new science to more responsibly develop and deploy large language models;In-depth research and exploration of more usage scenarios in future life.The qualifications required for this position include:Excellent coding ability, data structures, and fundamental algorithm skills, proficient in C/C++ or Python. Winners of competitions such as ACM/ICPC, NOI/IOI, Top Coder, Kaggle, etc. are preferred;Experience in one or more of the following areas: NLP, Ranking, Ads, search engine, recommender system, distributed system, and machine learning;Familiarity with NLP, CV-related algorithms and technologies, and large-scale model training and RL algorithms is preferred;Excellent problem analysis and solving skills, able to deeply solve problems in large-scale model training and application;Good communication and collaboration skills, able to explore new technologies with the team and promote technological progress;Prefer Mandarin.

#J-18808-Ljbffr