Research Scientist Graduate (Multimodal Interaction and World Model) - 2026 Start (PhD)

ByteDance

$254K — $480K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • PhD in Software Development, Computer Science, Computer Engineering, or related field.
  • Publications in leading AI and ML conferences (e.g., CVPR, NeurIPS).
  • Strong research experience in reinforcement learning, multimodal learning, or vision-language modeling.
  • Expertise in Transformers and experience with GPUs or TPUs.
  • Hands-on experience with PyTorch/JAX and distributed training frameworks.

Responsibilities

  • Drive research and engineering to enhance multimodal understanding.
  • Explore ideas to optimize model performance and efficiency.
  • Establish scaling laws for multimodal models.
  • Conduct systematic ablations for meaningful conclusions.
  • Contribute to the development of multimodal assistant products.

Benefits

  • Medical, dental, and vision insurance from day one.
  • 401(k) savings plan with company match.
  • Paid parental leave and disability coverage.
  • Life insurance and well-being benefits.
  • 10 paid holidays, 10 sick days, and 17 days of Paid Personal Time.
Full Job Description
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 is working also aspires to advance the exploration and development of multimodal assistant products Responsibilities - Drive research and engineering to advance models that enhance understanding of multimodal data and enlarge reasoning capabilities. - Explore research ideas that optimize both the model's performance and efficiency. - Establish scaling laws, design and conduct systematic ablations that result in transferrable conclusions. Qualification Minimum Qualifications - Individuals who are completing or have recently completed a PhD degree in Software Development, Computer Science, Computer Engineering, or a related technical discipline - Publications in accredited 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 Preferred Qualifications - Expertise in Transformers (Dense and MoE) and familiar with how to scale Transformers on GPUs or TPUs. - Rich hands-on experience in PyTorch/JAX and distributed training framework. - Familiar with state-of-the-art techniques for preparing multimodal training data. As a condition of employment, all successful candidates must be able to establish authorization to work in the United States. For this position, the Company does not provide sponsorship or any immigration-related benefits. Job Information 【For Pay Transparency】Compensation Description (Annually) The base salary range for this position in the selected city is $254400 - $480000 annually. Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units. Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure). 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: 1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; 2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and 3. Exercising sound judgment.

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