Research Scientist in Language Model, Doubao-PhD Graduates

Position: Research Scientist in Large Language Model, Doubao-PhD Graduates- 2025 Start
About The Team:
Founded in 2023, Byte Dance Doubao Team is dedicated to crafting the industry's most advanced LLMs. We aim to lead global research and foster both technological and social progress. 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. We are looking for talented individuals to join our team in 2025. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with Bytedance. Successful candidates must be able to commit to an onboarding date by end of year 2025.

We will prioritize candidates who are able to commit to these start dates. Please state your availability and graduation date clearly in your resume. Applications will be reviewed on a rolling basis. We encourage you to apply early. Candidates can apply for a maximum of TWO positions and will be considered for jobs in the order you applied for. The application limit is applicable to Byte Dance and its affiliates' jobs globally.

Responsibilities
· Explore large-scale models and optimize systems to the extreme;
· Data construction, instruction tuning, preference alignment, and model optimization;
· Implementation of relevant applications, including content generation, reasoning, code generation, etc.;
· In-depth research and exploration of more usage scenarios in future life.

Minimum Qualifications:

• Currently pursuing a PhD in in computer science, mathematics, engineering, or a related field
• 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;
• Familiar with NLP, CV-related algorithms, technologies, and familiar with large-scale model training and RL algorithms are preferred;
• Candidates who have led influential projects or papers in the field of large-scale models are preferred;

Preferred Qualifications:

• 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. #LI-Onsite