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

ByteDance
San Jose
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningEducation: phdSkills: ["Independent research","Problem formulation","Experimental execution","Connecting research with practice"]

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.

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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

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
WebsiteLinkedIn