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: 1 hour agoStatus: Live

Job Summary

Build and improve a next-generation LLM Model-as-a-Service platform by developing and maintaining training, fine-tuning, and online inference pipelines. Work on AI data flywheel systems that unify logs, cases, feedback, and environment information to enable agent optimization in real-world scenarios. Manage large-scale GPU resource orchestration and help drive continuous, data-driven feedback loops for model improvement and system optimization.

Location: Seattle

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Graduate level

Key Responsibilities

•Build a next-generation big model as a service platform to serve hundreds of LLM-based applications.
•Develop and maintain the service platform, including offline training/fine-tuning, online inference, model management, and resource orchestration.
•Develop an AI data flywheel system that unifies logs, cases, feedback, and environmental information into structured, optimizable objects.
•Manage large-scale GPU resources and provide computing power efficiently.
•Use AI-assisted tools to guide users in providing efficient feedback to support continuous model and system improvement.

Key Requirements

•Currently pursuing or recently completed a Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, Data Science, or a related technical field.
•Research experience in one or more areas such as LLM post-training and alignment, model evaluation, test-time scaling, agent systems, or large-scale data curation and optimization.
•Demonstrated research ability through publications, substantial research projects, or internships.
•Ability to work independently on open-ended research problems from problem formulation through experimental execution.

Education:PhD / Doctorate

Skills:Independent researchProblem formulationExperimental execution

Tech Stack:Large Language Models (LLMs)Model-as-a-Service (MaaS)LLM trainingFine-tuningOnline inferenceModel managementResource orchestrationGPU resourcesPrompt engineeringModel alignmentIntelligent agent systemsLog analyticsMultimodal LLMsVolcano 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: 1 hour agoStatus: Live

Job Summary

Location: Seattle

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Graduate level

Key Responsibilities

•Build a next-generation big model as a service platform to serve hundreds of LLM-based applications.
•Develop and maintain the service platform, including offline training/fine-tuning, online inference, model management, and resource orchestration.
•Develop an AI data flywheel system that unifies logs, cases, feedback, and environmental information into structured, optimizable objects.
•Manage large-scale GPU resources and provide computing power efficiently.
•Use AI-assisted tools to guide users in providing efficient feedback to support continuous model and system improvement.

Key Requirements

•Currently pursuing or recently completed a Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, Data Science, or a related technical field.
•Research experience in one or more areas such as LLM post-training and alignment, model evaluation, test-time scaling, agent systems, or large-scale data curation and optimization.
•Demonstrated research ability through publications, substantial research projects, or internships.
•Ability to work independently on open-ended research problems from problem formulation through experimental execution.

Education:PhD / Doctorate

Skills:Independent researchProblem formulationExperimental execution

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