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Research Scientist in Language Model

Job in Seattle, King County, Washington, 98113, USA
Listing for: ByteDance
Full Time position
Listed on 2026-02-17
Job specializations:
  • Engineering
    Artificial Intelligence, Research Scientist
  • Research/Development
    Artificial Intelligence, Research Scientist
Job Description & How to Apply Below
Position: Research Scientist in Large Language Model
With a long-term vision and a strong commitment to the AI field, the Team conducts research in a range of areas including natural language processing (NLP), computer vision (CV), and speech recognition and generation. It boasts a robust international presence with labs and research facilities in China, Singapore, and the US. Leveraging substantial data and computing resources and through continued investment in these domains, our team has built a proprietary general-purpose model with multimodal capabilities.

This model supports over 50 downstream business services including Doubao, Coze, and Dreamina, which are available to enterprise customers via the Volcano Engine. Currently, the Doubao App is the most used AIGC application in the China market. The main job directions include:
1. Explore large-scale models and optimize systems to the extreme;
2. Data construction, instruction tuning, preference alignment, and model optimization;
3. Implementation of relevant applications, including content generation, reasoning, code generation, etc.; 4. In-depth research and exploration of more usage scenarios in future life;

Minimum Qualifications:

1. 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;
2. Familiar with NLP, CV-related algorithms, technologies, and familiar with large-scale model training and RL algorithms are preferred;
3. Candidates who have led influential projects or papers in the field of large-scale models are preferred;
4. 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.
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