Research Scientist in Large Language Model (LLM)-Seed
Listed on 2026-08-05
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Research/Development
Data Scientist
Research Scientist in Large Language Model (LLM)-Seed
Location:
San Jose
Team:
Algorithm
Employment Type:
Regular
Job Code: A154704
ResponsibilitiesTeam Info:
The Seed LLM team is dedicated to advancing the next generation of LLMs and solving fundamental challenges in LLM development. Our areas of focus include model pre-training, post-training, inference, memory capabilities, learning, interpretability and other related directions. We dive deep into the latest technologies and create comprehensive solutions from concept to completion. In our endeavor to adopt LLMs in real-life scenarios, we explore methods to enhance applications through technological innovation.
The main job directions include:
- Explore large-scale models and optimize systems;
- Data construction, instruction tuning, preference alignment, and model optimization;
- Improving relevant model capabilities, such as reasoning, code, math etc;
- In-depth research and exploration of future use cases;
Minimum Qualifications - Excellent coding ability, data structures, and fundamental algorithm skills, proficient in C/C++ or Python;
- Excellent problem analysis and solving skills, able to 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.
Preferred Qualifications:
- Experience with large-scale model training, deep learning and machine learning algorithms are preferred;
- Candidates who have led influential projects or papers in the field of large-scale models are preferred;
For Pay Transparency Compensation Description (Annually) The base salary range for this position in the selected city is $244800 - $450000 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. For Los Angeles County (unincorporated) Candidates:
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:
1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and 3. Exercising sound judgment.
Established in 2023, the Byte Dance Seed team is dedicated to pioneering new paths toward artificial general intelligence. We aspire to advance the frontier of intelligence to drive progress for both technology and society. With a long-term vision for the AI sector, the Seed team's research spans MLLM, Gen Media, AI for Science, and Robotics. We maintain a global presence with laboratories and career opportunities across China, Singapore, and the United States.
To date, we have launched industry-leading general foundation models and cutting-edge multimodal capabilities. Our technology powers…
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