Research Scientist - Recommendation Modeling & Large-scale Computing Infrastructure - Global Frontier Tech Recruitment Program - 2027 Start (PhD)

ByteDance
San Jose
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningEducation: phdSkills: ["Problem-solving","Self-driven learning","Effective communication"]

Build large-scale multimodal recommendation systems and research inference-optimization techniques for ByteDance’s centralized ML platform. Work on training and inference infrastructure used across recommendations, advertising, search, live-streaming, and e-commerce, and contribute to cutting-edge research including AI for Science and scientific computing. You’ll apply ML/AI research into practical system implementations and collaborate on research that can generalize across modality-specific recommendation scenarios.

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FursaFursa
ByteDance
ByteDance
1 month ago

Research Scientist - Recommendation Modeling & Large-scale Computing Infrastructure - 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 large-scale multimodal recommendation systems and research inference-optimization techniques for ByteDance’s centralized ML platform. Work on training and inference infrastructure used across recommendations, advertising, search, live-streaming, and e-commerce, and contribute to cutting-edge research including AI for Science and scientific computing. You’ll apply ML/AI research into practical system implementations and collaborate on research that can generalize across modality-specific recommendation scenarios.
Location: San Jose
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Graduate level

Key Responsibilities

  • •Join the team in 2027 and commit to an onboarding date by end of year 2027.
  • •Conduct research on ultra-large-scale multimodal recommendation systems.
  • •Focus research on inference optimization and efficient ML systems.
  • •Translate ML/AI research into practical system implementations.
  • •Contribute research capabilities for recommendation and related business scenarios across internal products and enterprise customers via Volcano Engine.

Key Requirements

  • •Completing or recently completed a PhD in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
  • •Research background in ML/AI focused on inference optimization, model acceleration, or efficient ML systems.
  • •Programming experience including C, C++, Java, or Python.
  • •Problem-solving skills, a self-driven learning mindset, and effective communication.
  • •Experience translating research into practical system implementations (preferred).
Experience:ML/AIRecommendation systemsAdvertisingSearchDistributed systemsBig data processingMultimodalScientific computing
Education:PhD / Doctorate
Skills:Problem-solvingSelf-driven learningEffective communication
Tech Stack:Machine LearningML/AICC++JavaPythonRecommendation systemsMultimodalVolcano EngineScientific computingDistributed systemsBig data processing

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