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Research Scientist Intern; Seed- AI PhD

Job in San Jose, Santa Clara County, California, 95111, USA
Listing for: ByteDance
Apprenticeship/Internship position
Listed on 2026-02-17
Job specializations:
  • Research/Development
    Data Scientist, Research Scientist
Job Description & How to Apply Below
Position: Research Scientist Intern (Seed-Responsible AI) - 2026 Start (PhD)
Our Seed-Responsible AI team is dedicated to building a technology center to provide technical support for all Byte Dance products from the perspective of making AI models responsible, trustworthy, and aligned with human values. We are looking for research scientist interns who have solid technical skills while passionate about pursuing excellence in responsible AI and related areas. We are looking for talented individuals to join us for an internship in 2026.

PhD Internships at Byte Dance aim to provide students with the opportunity to actively contribute to our products and research, and to the organization's future plans and emerging technologies. 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). Responsibilities:

- Research and development of technologies on responsible AI, particularly with a focus on large language models, including but not limited to safety, reasoning, alignment, privacy, robustness;

- Perform research on responsible AI and collaborate with experts from both academia and industry;

- Design and perform theoretical analysis of AI algorithms.

Minimum Qualifications:

- Researchers or PhD students in Machine Learning and other related fields;

- In-depth understanding of machine learning with rich experiences in relevant fields;

- Background in large language models, especially post-training or alignment, is preferable;

- Familiar with at least one popular machine learning framework (e.g., Pytorch, Tensor Flow, JAX etc);

- Good at communications and prioritizing teamwork;

- Solid mathematical background and coding ability;

- Publication at the top conferences (NeurIPS, ICML, ICLR, FAccT, AAAI, CVPR, ICCV, ACL, WWW etc) is a big plus;
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