ByteDance
Student Researcher [Seed LLM - Code Generation] – 2026 Start (PhD)
ByteDance, San Jose, California, United States, 95199
Student Researcher [Seed LLM - Code Generation] – 2026 Start (PhD)
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Student Researcher [Seed LLM - Code Generation] – 2026 Start (PhD)
role at
ByteDance .
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Overview The Seed LLM Code Generation Team is dedicated to comprehensively enhancing the model's coding capabilities and building a bridge for AI to interact with the digital world. Currently, the team focuses on technologies such as large-scale automated synthesis of coding competitions/engineering problems, reinforcement learning for code agents, and construction of high-quality code pre-training datasets.
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 internship experience blends hands-on learning, community-building and development events, and collaboration with industry experts.
Applications will be reviewed on a rolling basis. We encourage you to apply early and please state your availability clearly in your resume (Start date, End date).
Responsibilities
Develop methods for code generation and editing using large language models, including improving performance on tasks such as synthesis, repair, documentation, and test generation.
Conduct research on self-evolving agents that can learn to write, edit, and optimize code over time with minimal supervision.
Explore multi-agent reinforcement learning settings where agents collaborate, compete, or communicate to solve complex programming tasks.
Investigate instruction tuning, multi-turn prompting, retrieval-augmented generation, and RL for program synthesis.
Build benchmarks and tools for evaluating model performance in code understanding, collaborative reasoning, and long-horizon programming scenarios.
Qualifications Minimum Qualifications
Currently pursuing a PhD in Computer Science, Machine Learning, Programming Systems, or a related field.
Research experience in code generation, program synthesis, or LLMs for software engineering.
First-author publications in top venues such as NeurIPS, ICLR, ICML, PLDI, or OOPSLA.
Familiarity with LLM toolchains (e.g., HuggingFace, PyTorch) and structured code/data handling.
Preferred Qualifications
Experience with reinforcement learning or agent-based learning in structured environments.
Background in multi-agent coordination, curriculum learning, or self-improving systems.
Understanding of software reasoning tasks such as static analysis, refactoring, or automated debugging.
Familiarity with open code benchmarks (e.g., HumanEval, MBPP, CodeContests, SWE-bench).
Job Information For Pay Transparency: Compensation Description (Hourly) - Campus Intern.
The hourly rate range for this position in the selected city is $65.
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.
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 tinyurl.com/RA-request
Equal Employment Opportunity and Accessibility 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;
Apropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
Exercising sound judgment.
About Seed (Doubao) Founded in 2023, the ByteDance Doubao (Seed) Team is dedicated to pioneering advanced AI foundation models and driving technological and societal advancements. Our research areas span deep learning, reinforcement learning, Language, Vision, Audio, AI Infra and AI Safety, with labs and research positions across China, Singapore, and the US.
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Student Researcher [Seed LLM - Code Generation] – 2026 Start (PhD)
role at
ByteDance .
Get AI-powered advice on this job and more exclusive features.
Overview The Seed LLM Code Generation Team is dedicated to comprehensively enhancing the model's coding capabilities and building a bridge for AI to interact with the digital world. Currently, the team focuses on technologies such as large-scale automated synthesis of coding competitions/engineering problems, reinforcement learning for code agents, and construction of high-quality code pre-training datasets.
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 internship experience blends hands-on learning, community-building and development events, and collaboration with industry experts.
Applications will be reviewed on a rolling basis. We encourage you to apply early and please state your availability clearly in your resume (Start date, End date).
Responsibilities
Develop methods for code generation and editing using large language models, including improving performance on tasks such as synthesis, repair, documentation, and test generation.
Conduct research on self-evolving agents that can learn to write, edit, and optimize code over time with minimal supervision.
Explore multi-agent reinforcement learning settings where agents collaborate, compete, or communicate to solve complex programming tasks.
Investigate instruction tuning, multi-turn prompting, retrieval-augmented generation, and RL for program synthesis.
Build benchmarks and tools for evaluating model performance in code understanding, collaborative reasoning, and long-horizon programming scenarios.
Qualifications Minimum Qualifications
Currently pursuing a PhD in Computer Science, Machine Learning, Programming Systems, or a related field.
Research experience in code generation, program synthesis, or LLMs for software engineering.
First-author publications in top venues such as NeurIPS, ICLR, ICML, PLDI, or OOPSLA.
Familiarity with LLM toolchains (e.g., HuggingFace, PyTorch) and structured code/data handling.
Preferred Qualifications
Experience with reinforcement learning or agent-based learning in structured environments.
Background in multi-agent coordination, curriculum learning, or self-improving systems.
Understanding of software reasoning tasks such as static analysis, refactoring, or automated debugging.
Familiarity with open code benchmarks (e.g., HumanEval, MBPP, CodeContests, SWE-bench).
Job Information For Pay Transparency: Compensation Description (Hourly) - Campus Intern.
The hourly rate range for this position in the selected city is $65.
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.
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 tinyurl.com/RA-request
Equal Employment Opportunity and Accessibility 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;
Apropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
Exercising sound judgment.
About Seed (Doubao) Founded in 2023, the ByteDance Doubao (Seed) Team is dedicated to pioneering advanced AI foundation models and driving technological and societal advancements. Our research areas span deep learning, reinforcement learning, Language, Vision, Audio, AI Infra and AI Safety, with labs and research positions across China, Singapore, and the US.
#J-18808-Ljbffr