ByteDance

2 days ago

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

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Join the Multimodal Interaction & World Model team to advance multimodal intelligence for virtual/real-world interaction. You’ll explore large-scale multimodal understanding and generation, work on model/data construction, fine-tuning, alignment, and evaluation, and push capabilities like multimodal RAG, visual COT, and agentic systems. Using pre-training and simulation, you’ll develop technologies and AI-powered products that improve interactive exploration and user experiences.

Location: Singapore

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Graduate level

Key Responsibilities

•Research multimodal understanding, generative machine learning, reinforcement learning, AIGC, computer vision, and related AI technologies.
•Develop and optimize large/ultra-large multimodal understanding and generation models, including data construction, instruction fine-tuning, preference alignment, and model optimization.
•Advance multimodal model and world-model capabilities such as multimodal RAG, visual COT, and agent systems.
•Build evaluation systems and improve large-model reasoning and planning abilities.
•Use pre-training and simulation to model virtual/real environments and enable multimodal interactive exploration and application development.

Key Requirements

•Final year Ph.D or recent Ph.D graduate in Computer Science, Software Engineering, Electronics, Mathematics, or related majors.
•In-depth research in areas such as computer vision, multimodal, AIGC, machine learning, or rendering generation.
•Excellent analytical and problem-solving skills, with the ability to solve large-model training and application problems independently.
•Good communication and collaboration skills, with a proactive, cooperative approach to exploring new technologies.
•Ability to explore and improve large-model reasoning/planning and build comprehensive evaluation systems.

Experience:ResearchComputer visionMultimodalAIGCMachine learningReinforcement learningLarge modelsWorld models

Education:PhD / Doctorate

Skills:Analytical problem-solvingCommunicationCollaborationIndependent explorationProactive work

Tech Stack:PythonC/C++

Company Brief

ByteDance

Develops consumer internet and content platforms, including TikTok and other apps for short-form video, news, and entertainment. It also builds advertising, commerce, and creator tools that connect audiences, brands, and publishers across global markets.

Industry: Digital Media

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Established Company

Headquarters: Beijing, China

Founded: 2012

Website LinkedIn

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ByteDance

2 days ago

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

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Location: Singapore

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Graduate level

Key Responsibilities

•Research multimodal understanding, generative machine learning, reinforcement learning, AIGC, computer vision, and related AI technologies.
•Develop and optimize large/ultra-large multimodal understanding and generation models, including data construction, instruction fine-tuning, preference alignment, and model optimization.
•Advance multimodal model and world-model capabilities such as multimodal RAG, visual COT, and agent systems.
•Build evaluation systems and improve large-model reasoning and planning abilities.
•Use pre-training and simulation to model virtual/real environments and enable multimodal interactive exploration and application development.

Key Requirements

•Final year Ph.D or recent Ph.D graduate in Computer Science, Software Engineering, Electronics, Mathematics, or related majors.
•In-depth research in areas such as computer vision, multimodal, AIGC, machine learning, or rendering generation.
•Excellent analytical and problem-solving skills, with the ability to solve large-model training and application problems independently.
•Good communication and collaboration skills, with a proactive, cooperative approach to exploring new technologies.
•Ability to explore and improve large-model reasoning/planning and build comprehensive evaluation systems.

Experience:ResearchComputer visionMultimodalAIGCMachine learningReinforcement learningLarge modelsWorld models

Education:PhD / Doctorate

Skills:Analytical problem-solvingCommunicationCollaborationIndependent explorationProactive work

Tech Stack:PythonC/C++

Company Brief

ByteDance

Industry: Digital Media

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Established Company

Headquarters: Beijing, China

Founded: 2012

Website LinkedIn