ByteDance
Research Scientist, Foundation Model (LLM) Technology - Algorithm San Jose Regul
ByteDance, San Jose, California, United States, 95199
Research Scientist, Foundation Model (LLM)
Location: San Jose
Team: Algorithm
Employment Type: Regular
Job Code: A110702
Responsibilities 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.
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.
Qualifications 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 large‑scale model training and RL algorithms.
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.
Job Information The base salary range for this position in the selected city is $136,800 - $359,720 annually.
Benefits 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 (pro‑rated upon hire with increasing accruals by tenure).
EEO Statement
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;
Exercising sound judgment.
#J-18808-Ljbffr
Team: Algorithm
Employment Type: Regular
Job Code: A110702
Responsibilities 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.
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.
Qualifications 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 large‑scale model training and RL algorithms.
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.
Job Information The base salary range for this position in the selected city is $136,800 - $359,720 annually.
Benefits 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 (pro‑rated upon hire with increasing accruals by tenure).
EEO Statement
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;
Exercising sound judgment.
#J-18808-Ljbffr