ByteDance

2 days ago

Research Scientist - Model Capability Boundary Exploration and AI Data Flywheel System Development - Global Frontier Tech Recruitment Program - 2027 Start (PhD)

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 33 minutes agoStatus: Live

Job Summary

Work on a next-generation AI system where real-world usage logs and feedback are unified into structured, optimizable objects to power an AI data flywheel. Help build and operate large language model service platforms (MaaS), supporting offline fine-tuning and online inference, while managing GPU resources for efficient compute. The role focuses on agent optimization capabilities that improve efficiency in real business scenarios.

Location: San Jose

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Entry level

Key Responsibilities

•Build a next-generation model-as-a-service platform to serve applications based on hundreds of LLMs.
•Develop and maintain the platform, including offline training/fine-tuning, online inference, model management, and resource orchestration.
•Design an AI data flywheel that unifies logs, cases, feedback, and environmental information into structured, attributable, optimizable objects.
•Integrate AI-assisted tools to guide users in providing efficient feedback for real-world scenario optimization.
•Manage large-scale GPU resources to provide computing power efficiently.

Key Requirements

•Currently pursuing or recently completed a Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, Data Science, or a related field.
•Research experience in one or more areas including LLM post-training and alignment, model evaluation, test-time scaling, agent systems, or large-scale data curation and optimization.
•Demonstrated research ability via publications, substantial research projects, or internships.
•Ability to work independently on open-ended research problems from problem formulation through experimental execution.
•Strong interest in foundation models and data-centric AI, including data flywheels and continual learning, and co-design of algorithms and infrastructure.

Education:PhD / Doctorate

Skills:Independent researchProblem formulationExperimental executionConnecting research with practice

Tech Stack:Large Language Models (LLMs)Model-as-a-Service (MaaS)LLM trainingFine-tuningInferenceModel managementResource orchestrationGPU resourcesLog analyticsPrompt engineeringModel alignmentIntelligent agent systemsTest-time scalingData flywheelsContinual learningHuman-in-the-loop pipelinesVolcano Ark

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 - Model Capability Boundary Exploration and AI Data Flywheel System Development - Global Frontier Tech Recruitment Program - 2027 Start (PhD)

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 33 minutes agoStatus: Live

Job Summary

Location: San Jose

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Entry level

Key Responsibilities

•Build a next-generation model-as-a-service platform to serve applications based on hundreds of LLMs.
•Develop and maintain the platform, including offline training/fine-tuning, online inference, model management, and resource orchestration.
•Design an AI data flywheel that unifies logs, cases, feedback, and environmental information into structured, attributable, optimizable objects.
•Integrate AI-assisted tools to guide users in providing efficient feedback for real-world scenario optimization.
•Manage large-scale GPU resources to provide computing power efficiently.

Key Requirements

•Currently pursuing or recently completed a Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, Data Science, or a related field.
•Research experience in one or more areas including LLM post-training and alignment, model evaluation, test-time scaling, agent systems, or large-scale data curation and optimization.
•Demonstrated research ability via publications, substantial research projects, or internships.
•Ability to work independently on open-ended research problems from problem formulation through experimental execution.
•Strong interest in foundation models and data-centric AI, including data flywheels and continual learning, and co-design of algorithms and infrastructure.

Education:PhD / Doctorate

Skills:Independent researchProblem formulationExperimental executionConnecting research with practice

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