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

ByteDance
Seattle
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningEducation: phdSkills: ["Independent research","Problem formulation","Experimental execution"]

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.

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FursaFursa
ByteDance
ByteDance
1 month ago

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

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Last checked: 30 days agoStatus: Live
Reposted: similar role first listed 1 month ago

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
WebsiteLinkedIn