Demo

Student Researcher [Seed LLM Horizon – Multi-turn Tool Use] - 2026 Start (PhD)

ByteDance
San Jose, CA Intern
POSTED ON 12/28/2025
AVAILABLE BEFORE 3/19/2026
Responsibilities

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 ByteDance 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).

Responsibilities

  • Enable models to perform deep usage of professional tools (e.g., search, code-interpreter) to solve complex problems.
  • Develop approaches to generalize model abilities to millions of out-of-distribution (OOD) tools and scenarios.
  • Scale up multi-turn tool-use training tasks and explore effective training methods.
  • Address challenges of long-horizon, multi-turn tasks in reinforcement learning.


Qualifications

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.


Job Information

【For Pay Transparency】Compensation Description (Hourly) - Campus Intern

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.

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:

  • 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.


About Doubao (Seed)

Founded in 2023, the ByteDance 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.

Why Join ByteDance

Inspiring creativity is at the core of ByteDance'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 ByteDancers, 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 an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our Company, and our users. When we create and grow together, the possibilities are limitless. Join us.

Diversity & Inclusion

ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

Reasonable Accommodation

ByteDance is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://tinyurl.com/RA-request

Hourly Wage Estimation for Student Researcher [Seed LLM Horizon – Multi-turn Tool Use] - 2026 Start (PhD) in San Jose, CA
$43.00 to $54.00
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