Student Researcher Seed LLM Horizon – Async Agent & Proactive Agent PhD

Student Researcher [Seed LLM Horizon – Async Agent & Proactive Agent] - 2026 Start (PhD)

Location:

San Jose

Team:
Technology

Employment Type:

Intern

Job Code: A144106

About the team The Seed LLM Horizon Team is dedicated to cutting‑edge research, driven by a mission to push the boundaries of model intelligence, and fuelled by a long‑term vision and unwavering commitment. The team is dedicated to developing the next‑generation agent foundation model and building self‑evolving personalized Agent. We are seeking passionate and self‑driven researchers who share our vision to collaborate on agent research.

PhD internships at Byte Dance provide students with the opportunity to actively contribute to our products and research, and to the organization's future plans and emerging technologies. Our dynamic internship experience blends hands‑on learning, enriching community‑building and development events, and collaboration with industry experts. Applications will be reviewed on a rolling basis - we encourage you to apply early. Please state your availability clearly in your resume (Start date, End date).

• Establish effective, robust, and realistic evaluation methods for asynchronous and proactive agents.
• Devise effective architectures for constructing asynchronous and proactive agents.
• Develop training strategies that reliably produce high‑quality asynchronous and proactive behavior.

• Minimum Qualifications:
  
  Currently pursuing a PhD in Computer Science, Software Engineering, Machine Learning, or a related field.
• Research experience in one or more of the following: reinforcement learning, LLM agents, memory systems, tool use, or interactive learning.
• Strong coding skills and proficiency with modern deep learning frameworks.
• Demonstrated ability to conduct independent research, with publications in top‑tier ML/AI conferences such as NeurIPS, ICML, ICLR, ACL, EMNLP etc.
• Preferred Qualifications:
  
  Experience with long‑horizon reasoning, multi‑turn tasks, or asynchronous agent behavior.
• Familiarity with agent evaluation, personalization, or real‑world tool integration.
• Background in building or analyzing large‑scale agent training pipelines.
• Ability to collaborate effectively in a fast‑paced, research‑driven team environment.

The hourly rate range for this position in the selected city is $60- $60.

Benefits may vary depending on the nature of employment and the country work location. Interns have day one access to health insurance, life insurance, wellbeing benefits and more. Interns also receive 10 paid holidays per year and paid sick time (56 hours if hired in first half of year, 40 if hired in second half of year). Interns who are not working 100% remote may also be eligible for housing allowance.

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:

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 learning, Language, Vision, Audio, AI Infra and AI Safety. Our team has labs and research positions across China, Singapore, and the US.

Inspiring creativity is at the core of Byte…