Machine Learning Engineer -Large Language Model & Reinforcement Learning
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San Jose, CA
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Entry level
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.
- 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.
- Familiar with NLP, RESUME-related algorithms, technologies, and familiar with large-scale model training and RL algorithms are preferred;
- Excellent problem analysis and solving skills, able to deeply solve problems in large-scale model training and application; 5. Good communication and collaboration skills, able to explore new technologies with the team and promote technological progress.
- Prefer Mandarin.