Research Scientist (LLM) - 2026 Start (PhD

Join us as we work together to inspire creativity and enrich life around the globe.

Location:

San Jose

Team:

Technology

Employment Type:

Regular

Job Code:

A191140A

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About The Team:

LLM team is dedicated to advancing the next generation of LLMs and solving, fundamental challenges in LLM development. Our areas of focus include model pretraining, posttraining, 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.

We are looking for talented individuals to join our team. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth.

Successful candidates must be able to commit to an onboarding date by the end of the year. Please state your availability and graduation date clearly in your resume.

• 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

Qualifications

Minimum Qualifications
- Individuals who are completing or have recently completed a PhD degree in Computer Science, Electrical Engineering, Electrical and Computer Engineering, Physics, Mathematics, or a related discipline.

- Excellent coding ability, data structures, and fundamental algorithm skills, proficient in C/C++ or Python, etc.

Individuals who are completing or have recently completed a PhD degree in Computer Science, Electrical Engineering, Electrical and Computer Engineering, Physics, Mathematics, or a related discipline.

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;

- 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.

As a condition of employment, all successful candidates must be able to establish authorization to work in the United States. For this position, the Company does not provide sponsorship or any immigration-related benefits.

Job Information

About Doubao (Seed)

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 over 50 application scenarios — including Doubao, Jimeng, TRAE, Dola and Dreamnia — and serves enterprise customers through Volcano Engine and Byte Plus.

Third-party data shows that the Doubao App ranks first in user volume in the Chinese market, while Doubao foundation models lead the industry in average daily token consumption.

Why Join Byte Dance

Inspiring creativity is at the core of Byte Dance's mission. Our innovative products are built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and enrich life - a mission we work towards every day.

As Byte Dancers, we strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. By constantly iterating and fostering a "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves,…