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Student Researcher [Seed – Multimodal Interaction & World Model - RL Focused] – 2026 Start (PhD)

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Machine Learning Engineer Graduate (E-Commerce Recommendation/Search Alliance)- 2026 Start (PhD)

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Researcher Graduate (Applied Machine Learning - Enterprise) - 2026 Start (PhD)

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10 days ago
ByteDance
10,001+ employees

Student Researcher [Seed – Multimodal Interaction & World Model - RL Focused] – 2026 Start (PhD)

San Jose, CA26 Full TimeFull-time1 day ago

Apply now

About the job

Responsibilities

The Seed Multimodal Interaction and World Model team is dedicated to developing models that boast human-level multimodal understanding and interaction capabilities. The team also aspires to advance the exploration and development of multimodal assistant products.

  • Design and implement reinforcement learning (RL) training systems for large-scale multimodal foundation models
  • Develop unified modeling frameworks that integrate video, audio, and language, with a focus on visual latent reasoning
  • Explore RL-based approaches to bridge understanding and generation for multimodal visual reasoning
  • Collaborate with researchers to evaluate models on tasks involving world modeling, reasoning, and instruction-conditioned generation

Qualifications

Minimum Qualifications:

  • Currently pursuing a PhD in Software Development, Computer Science, Computer Engineering, or a related technical discipline
  • Publications in top-tier venues, such as CVPR, ECCV, ICCV, NeurIPS, ICLR, ICML, or other leading conferences in AI and ML
  • Strong research background in at least one of the following: reinforcement learning, multimodal learning, video understanding, or vision-language modeling
  • Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment

Preferred Qualifications

  • Experience with reinforcement learning in multimodal or interactive environments
  • Familiarity with video generation or diffusion-based generative models
  • Experience with large-scale model training (e.g., distributed training, curriculum learning, or memory-augmented transformers)
  • Solid programming and engineering skills, with experience building training or evaluation pipelines for ML models

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

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