Research Scientist in Language Model; Seed-LLM

Research Scientist in Large Language Model(Seed-LLM)

Location:

San Jose

Team:

Algorithm

Employment Type:

Regular

Job Code:

A154704

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Team Info:
Established in 2023, the Byte Dance Seed team is dedicated to discovering new approaches to general intelligence, and pursuing the edge of intelligence. Our research spans large language models, Gen Media, AI for Science, Robotics and more. With a long-term vision and determination in AI, the Byte Dance Seed team remains committed to foundational research. We aim to become a world-class AI research team that drives real technological progress and delivers societal benefits.

With labs across China, Singapore, and the U.S., our team has already released industry-leading general‑purpose large models and advanced multimodal capabilities, powering over 50 real‑world applications — including Doubao, Coze, and Jimeng.

The main job directions include:

• 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

• 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;
• 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.

The base salary range for this position in the selected city is $136,800 - $359,720 annually.

Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.

Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short‑term and long‑term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).

The Company reserves the right to modify or change these benefits programs at any time, with or without notice.

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:

• Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
• Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
• Exercising sound judgment.

Founded in 2023, the Byte Dance Doubao (Seed) Team, is dedicated to pioneering advanced AI foundation models. Our goal is to lead in cutting‑edge research and drive technological and societal advancements.

With a strong commitment to AI, our research areas span deep learning, reinforcement…