Research Scientist - Seed Multimodal Interaction and World Model

ByteDance

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

Qualifications

  • Master's or PhD in Software Development, Computer Science, or related field
  • Publications in leading technical conferences like NeurIPS or CVPR
  • Strong research background in reinforcement learning or multimodal learning
  • Experience in video understanding or vision-language modeling is advantageous
  • Solid programming skills, particularly in machine learning pipeline construction

Responsibilities

  • Research and develop large-scale multimodal foundation models
  • Create unified modeling frameworks that integrate video, audio, and language
  • Explore reinforcement learning approaches for multimodal visual reasoning
  • Collaborate with researchers to evaluate models on complex reasoning tasks

Benefits

  • Day one access to medical, dental, and vision insurance
  • 401(k) savings plan with company match
  • Paid parental leave and disability coverage
  • Life insurance and wellbeing benefits
  • 10 paid holidays and 10 paid sick days per year
  • 17 days of Paid Personal Time with increases by tenure
Full Job Description
Responsibilities - Research and development large-scale multimodal foundation models - Develop unified modeling frameworks that integrate video, audio, and language, with a focus on visual latent reasoning - Explore Reinforcement Learning-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 Qualification Minimum Qualifications - Master's or PhD 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 - Strong research background in at least one of the following: reinforcement learning, multimodal learning, video understanding, or vision-language modeling 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 - Solid programming and engineering skills, with experience building training or evaluation pipelines for ML model 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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